#scalable data engineering

[creolestudios]

Choosing a Data Engineering Consultant: Your Complete Guide: Find the perfect data engineering consultant with our guide. Explore critical factors like flexibility, compliance, and ongoing support.

[mkcecollege]

As this synergy grows, the future of engineering is set to be more collaborative, efficient, and innovative. Cloud computing truly bridges the gap between technical creativity and practical execution. To Know More: https://mkce.ac.in/blog/the-intersection-of-cloud-computing-and-engineering-transforming-data-management/

[pitlanepeach]

Radio Silence | Chapter Six

Lando Norris x Amelia Brown (OFC)

Series Masterlist

Summary — Order is everything. Her habits aren't quirks, they're survival techniques. And only three people in the world have permission to touch her: Mom, Dad, Fernando.

Then Lando Norris happens.

One moment. One line crossed. No going back.

Warnings — Autistic!OFC, still quite angsty (sry), strong language.

Notes — Lots of plot, we're closing out the 2019 year in this one! Not much Lando in this one (Im still mad at him). This gets crazy. I can’t wait to hear your thoughts!

Want to be added to the taglist? Let me know! - Peach x

2019

Two weeks after Spa, Amelia stood outside her dad’s office at the MTC with a manila file in her hands and the taste of copper in her mouth.

The door was open, but she still knocked.

Zak looked up, startled, like he wasn’t used to seeing her there anymore — and maybe he wasn’t. She’d stayed away from the MTC for the past few weeks.

“Hey,” he said, getting up too quickly. “You want to come in?”

She stepped inside, cringing when her new trainers squeaked against the floor. Her arms were stiff from holding the file too tight. “Brought you something,” she said, and handed it over. No eye contact. She stared at a plaque on his shelf instead — a dusty one from 2007, still etched with a podium that felt like another lifetime.

Zak took the file and sat back down behind his desk. “You put this together?”

She nodded once. “It’s just data. Analysis. Trends.”

He opened the folder and started flipping through, slower than she wanted, be he was a much slower reader than she was. Pages of her notes, charts, predictive modelling, comparative pace metrics, aero versus power unit deltas from the season so far. Even some basic projections based on engine supplier performance curves over the last six years.

He hesitated, eyes scanning the pages. “What is this, Amelia?”

“McLaren’s had a better season,” she said, not bothering to hide the way her nose scrunched. “You’ll probably finish fourth in the Constructors’. Best of the rest. Everyone is going to be very happy.”

He looked up at her, sensing the ‘but’ before she even said it.

“I am not,” she said. “I don’t think we should be happy with fourth. I think we should be aiming for much higher.”

Zak leaned back slightly in his chair, file still open in front of him. “Amelia…”

“I think we should drop Renault after next season,” she said, cutting him off.

He blinked. “Jesus,” he muttered. “That’s a big swing.”

“I’ve run the numbers,” she said, a little sharper now. “Reliability. Raw power. Upgrade cycles. Driver feedback. Even manufacturer investment in long-term hybrid development. Renault is… not consistent, and they’re not progressing fast enough. Mercedes is more efficient, more stable, more scalable. If we want consistent podiums, a chance at race wins, then we need to align with a manufacturer that knows how to win. Not just how to score points.”

Zak sat back again, slower this time, like the weight of the idea was physically pressing into him. He tapped the edge of the file absently with his fingers.

“You know how much this would rock the boat, right?” he said. “We’ve spent years building this partnership. Renault’s got skin in the game. Contracts. Commitments. There’ll be consequences if we walk away.”

“I know,” she said. “But you always said we should act like a front-running team, even when we weren’t. So act like one. Make a decision like one.”

Zak was quiet. Still.

“I started working on this after Hockenheim,” she added, voice lower now. “I just… didn’t show anyone.”

He closed the file. “This isn’t a light suggestion, Amelia.” He sighed. 

“I know,” she said again. “But I think it’s the right one.”

He exhaled slowly and rubbed a hand across his mouth, then looked at her; really looked at her.

She was calmer than she’d been the last time they’d spoken. Still paler than usual, still guarded, but steadier somehow. Like something had hardened and solidified inside her in the silence of the past few weeks.

“I’ll take it to the board,” he said finally. “Quietly. Just to test the water. No promises.”

“Okay,” she said.

There was a beat. She stared at the paperweight on his desk, the one she’d bought him for Father’s Day when she was thirteen.

“I just want us to stop being afraid of wanting more,” she added, softer now. “That’s all.”

Zak didn’t respond right away.

And as she turned to go, hand already on the doorframe, he couldn’t help but ask, “You didn’t just do this for him, did you?”

She paused. “No,” she said. “I did it for the team. I did it for you.”

She walked out. 

— 

The press release dropped on a Thursday.

A neatly timed, efficiently worded, professionally curated announcement: McLaren Racing to become Mercedes-AMG Powertrain customer team from 2021 onwards.

Quotes from her dad. From Toto. From Andreas.

A photo of a handshake she wasn’t in.

No mention of the folder. No mention of the analysis. No mention of her. 

Of course there wasn’t. She hadn’t expected it.

Not really.

And yet she sat at her desk, surrounded by pages and pages of sketches of cooling architecture redesigns, and felt… strange.

Not angry. Not exactly.

Not proud either.

Mostly just quiet.

She clicked out of the article. Closed her browser. Opened a new tab, then immediately forgot why.

When she'd handed her dad the folder two weeks ago, it hadn’t even been about recognition. She hadn’t cared about credit. She’d just wanted them to be better. To try harder. To take a worthwhile risk. 

And when he’d said, I’ll take it to the board, she’d believed him.

She just didn’t think that would be the end of it.

He hadn’t spoken to her about it since. No follow-up. No texts. No update. No “you were right.” Not even a half-hearted thank-you over dinner or a passing “good job” in the hallway.

The decision had come. And it had come without her.

Which made sense. She wasn’t a department head. She wasn’t on the executive team. She didn’t even have an official job title.

She wasn’t owed anything.

But still… still, she sat there with her heart lodged high in her throat and her fingernails digging crescents into the seam of her jeans, wondering why she suddenly felt like a ghost.

Why it felt like this was supposed to mean something.

And why it hurt so much to realise that her dad was okay with taking her work, her time, her thinking, the thing she’d built, and not giving her even a whisper of recognition.

Because he was used to it.

Used to her just handing things over for free.

And the worst part was, he wasn’t the only one.

She’d been doing this for years, hadn’t she? Offering up all the sharpest pieces of herself like they were scraps. Little theories, little fixes, the way she could spot patterns no one else could, pick through race data like thread. Suggestions left on the kitchen counter, ideas floated during test weekends, whispers passed to engineers when no one else was listening. Quiet contributions, all of them. Invisible fingerprints.

She’d given it away. All of it. Every clever thought, every hard-earned observation; just laid it down, like it didn’t belong to her in the first place.

And now someone else got the credit. Again. And she wasn’t even surprised.

She was just tired. And quietly furious.

— 

The house smelled like woodsmoke and dog shampoo. Roscoe was already halfway into Amelia’s lap, snoring, his head heavy against her stomach as Lewis slid a mug of tea across the coffee table.

“Don’t get too comfortable,” he said, settling into the armchair across from her. “He’ll try and sleep there all day.”

“I won’t complain about that,” she murmured, scratching behind Roscoe’s ears. He was a big dog, solid and heavy. He felt a bit like her weighted blanket. Anchoring. 

Outside the windows, snow clung to the corners of Lewis’ sprawling. Quiet. Still. The way winter was meant to be. Amelia pulled her sleeves down over her hands and stared at the steaming mug.

Lewis leaned back, watching her over the rim of his cup. “You keeping up with the silly season chaos this year?”

“As always.” She nodded. 

“Gasly back to AlphaTauri, Hulkenberg out, Ocon sliding into Renault. There will be a bit of a bloodbath next year.” He said. 

She nodded, though her mind was elsewhere.

Lewis gave her a second longer before asking, “What about Lando? You two—”

“I don’t want to talk about Lando,” she said quickly, too quickly. Her eyes stayed on Roscoe’s fur.

Lewis didn’t press. He just leaned forward, brows faintly furrowed. “Right. Okay.” 

They let the silence settle again. Roscoe shifted in his sleep, his paws twitching as if chasing something through a dream. Then, quietly, Amelia spoke. “The Mercedes-McLaren deal,” she said, voice low. “That was mine.”

Lewis blinked, gave himself a second to repeat her words in his head, and then said. “What?”

“McLaren dropping Renault, becoming a Mercedes customer team.” She rubbed a thumb over Roscoe’s collar. “I ran all the projections. Power unit deltas, reliability, development pace, all of it. I put together the entire case. Handed it to my dad in a file. And two weeks later, they made the announcement.”

Lewis stared at her. “You’re serious?”

She nodded, swallowing. “No one said anything. Not to me. And I wasn’t… part of the meeting, or the rollout. He never even followed up. I just saw it in the press release like everyone else.” Her voice wavered, but didn’t break. “And I know I don’t work for McLaren. But I thought; I thought maybe it would mean something.” 

Lewis’s jaw twitched and his eyes looked darker than they usually did. “Amelia. That… that’s a big deal, you know that? That was your intellectual property.” 

“I know.” She hugged her arms tight around herself. “It just… it feels wrong to be angry. Like I should’ve known better. Like it’s my fault for not asking for anything in return. For just giving it away.”

“That’s not on you,” Lewis said, voice hardening. “That’s on him. Your dad. And on the team. They’ve taken advantage of you. You should get credit. You should get a bloody job offer and a signing bonus. Not… whatever the fuck this is.” 

She sniffed. “I don’t have a degree.”

Lewis scoffed. “So what? Since when does a piece of paper mean more than years of proven genius?”

That made her pause.

“You are one of the sharpest minds I’ve seen in this sport,” he said. “And I’ve been in it a long time. You see things before they happen. You think ahead of the curve. That’s what teams dream of having. And if McLaren can’t see that, if your own dad can’t see that, it’s not because it’s not there. It’s because he doesn’t know how to recognise it in you.”

She nodded. She already knew exactly what the problem was. “He doesn’t know how to see me as anything but his daughter.”

“Toto does,” Lewis said. “And that offer is still on the table, by the way.” 

Amelia looked away, cheeks flushing. 

“I’m not trying to pressure you. I just want you to know that you’ve got options,” Lewis said, softer now. “Real ones. And you don’t have to keep waiting around for your dad to finally recognise your potential.” 

She didn’t answer, but her hands were steady on Roscoe’s back now. And when she finally did glance at him, there was something a little sharp in her chest. Something that felt a lot like clarity.

— 

WhatsApp Groupchat — 2019 F1 Grid

Lewis H. @Lando You are an absolute prick.

Sebastian V. Good morning to you too?

Daniel R. Shit. What’d he do this time?

Charles L. Ah, this does not seem good.

Lando N. what the fuck did i do

Lewis H. You ghosted her. Like a child.

Carlos S. What??????????

George R. Wait are you serious?

Lewis H. Dead serious.

Lando N. oh my god can you not it’s literally none of your business ok

Max V. You’re an idiot, Norris.

Pierre G. Landooooo bro.

Alex A. Yeah nah that’s rough. You ghosted her? I actually thought you liked her, man.

Daniel R. She was so nice. Bet she feels like shit now.

Sebastian V. Is she okay? @Lewis

Lewis H. She’s fine. Too good for him anyway.

George R. I can’t believe this. Didn’t he literally write his racing number on her shoes? Or was that a fever dream??

Max V. @George He did. He’s just a right dickhead.

Carlos S. 😐 Told you not to screw it up, @Lando

Lando N. ok fucksake i get it You can all stop now i already feel like a piece of shit

Charles L. Why would you ghost her when she is so pretty and smart? I do not understand.

Daniel R. He’s still a kid. Dumb as hell. He’ll regret it in a few months, trust me.

Lewis H. He should be regretting it already.

Max V. Extremely dumb move. I wouldn’t have ghosted her and I’m famously difficult.

Sebastian V. Maybe I will set her up with my younger brother. He’s very clever. And rich.

George R. Is it weird if I throw my uncle’s name in the hat? He’s only 24. Really lovely guy.

Carlos S. My cousin Carlo is already in love. He will be thrilled to know she’s single.

Lando N. fuck off i get it I’m the villain Jesus christ can we drop it now

Daniel R. Glad you’re finally on the same page, mate!

Alex A. You could’ve just talked to her. Didn’t need to ghost her. That was cold, man.

Kimi R. 👍

— 

Interlagos was hot and loud and humming with tension, and Amelia made sure to stay pressed to the edges of it; a shadow against the garage walls, an expressionless face hidden behind a pair of black sunglasses.

It was her first time at any track since before Belgium. Her first time being in the same place as Lando since he’d decided that she was not worth knowing. And she was careful. Careful to keep to service corridors and briefing rooms, careful not to risk running into him. She wasn’t sure what would happen if she looked did. 

Nothing, probably. He would just ignore her, like he had been for two months. 

She had just slipped away from the hospitality bar, iced-coffee in hand, when a voice called out to her from the outside deck; warm, accented.

“Chica! Are you too busy to stop and talk with a very ignorant old man?”

She turned and found Carlos Sainz Sr. waving her over, a bottle of water in one hand and a wary smile on his sun-worn face.

“I was just—” she started, but he was already rising from his seat, gesturing for her to come join him. 

“Come, come. Sit. I have good seats here.”

She hesitated for a breath, then nodded and climbed the short steps up to the guest viewing area. The chaos of pit lane sprawled out below. Mechanics scrambled. Tyres stacked like soldiers. Race engines sang in the background, vicious and alive.

“Gracias,” she murmured, sliding into the chair beside him.

He nodded, then stared at her for a long, quiet second. “I wanted to say,” he said, his English thick with Madrid roots, but kind. “I think that… earlier in the year, I judged you too quickly.”

Amelia frowned at him. “Yes, you did.”

He sighed and nodded. “I assumed that you were just a pretty girl in the paddock.” He said. “And you see, my son has a terrible habit of becoming fixated on pretty things. But I realise now that I was wrong. You were there to, eh, help. To fix.” He sounded worn, like he’d had to work hard to say that out loud. 

She shrugged, staring out at the grandstands. They were full. “I was upset about it, I think. But it was not a big deal.”

“It was,” Carlos said, serious now. “It was a very big deal. My son made that clear to me. You are very clever. A real asset to the McLaren team.” He told her, firm and steady. 

She didn’t have anything to say to that. Just gave him a tight, (hopefully) polite smile and turned her eyes to the pit-lane as the cars peeled out of the garage to line up on the grid.

The race was long, and she stayed on the balcony throughout it all. Heat shimmered off the asphalt. Pit strategies flexed and fractured as the laps ticked down, and through it all, Amelia sat with her hands still in her lap, her mind sharper than the TV graphics overhead.

And when Carlos Sainz, the younger one, made it to third after a messy, brilliant final few laps, when the checkered flag waved and the paddock exploded into cheers and disbelief, she turned to his father and smiled, truly smiled, for the first time all day.

“Felicidades,” she said, voice soft but real. “That was very well done.”

Carlos Sr. beamed, pride etched into every line of his face. He stood up quickly, hurrying down to find his son and the rest of the team.

Amelia stayed.

The viewing deck emptied fast. Celebration echoed below. But she just slipped back into the motorhome, past the catering crew and out of the line of sight, into a quiet alcove near the storage lockers where no one would think to look for her.

She sat down on the floor, pressed her back against the cool wall, and closed her eyes.

She was proud. Of Carlos. Of the car she had helped make faster. Of the whisper of her fingerprints across the strategy that had put him on the podium.

But the truth still sat heavy on her ribs; that it had all happened without her. That even here, even now, she felt like a ghost.

— 

The paddock at night after a race was one of her favourite places in the world. Empty water bottles clattered in the wind, discarded tyre blankets lay forgotten in corners, and the once-buzzing garages now hummed low and tired beneath the fluorescent lights. Amelia walked slowly, hands in her pockets, trainers scuffing against the tarmac, the cool Brazilian evening pulling the heat from her skin.

She passed the Mercedes motorhome, its sleek black exterior reflecting the dim light. Through the tinted glass, she caught a glimpse of Toto Wolff, head bent in conversation with one of his engineers. Calm. Assured. In control.

She didn’t stop walking, but something in her twisted. Guilt, maybe. Or the quiet ache of uncertainty.

Red Bull had been circling for a while. Quiet at first; emails she half-dismissed, a few engineers asking her strangely specific questions, casual feelers through people she didn’t realise even knew her name. Then Christian on Dutch TV, mentioning her potential. Helmut at COTA, watching her from the edge of the pit wall like a cowboy evaluating livestock. And Adrian Newey, who bypassed all of them and emailed her directly in early November. Short. Direct. Complimentary in a way that didn’t feel rehearsed.

She hadn’t told her dad. Not yet.

Nothing was official, anyway.

“Brown,” came a voice behind her.

She turned, blinking as Max strode over from the Red Bull suite. His jacket was unzipped, and he still reeked faintly of champagne. Hair a bit damp. Grin lazy.

“Christian asked me to make sure you knew where to go,” he said, lifting his brows. “You’ve got ten minutes before Jos starts vibrating.”

She pulled a face. “Is everyone going to be there? Like… your dad is going to be there?”

“Obviously. It’s Red Bull. We are very theatric,” he said, deadpan. “Zusje, you are the most in-demand person in Formula 1 right now, of course everybody wants to be in the room when we finally win the battle for your brain.”

She narrowed her eyes at him. “Don’t call me that. Zusje. I don’t know what it means.”

“Little sister,” he said, Dutch accent thick, shrugging as he fell into step beside her. “It suits you. You talk just as much as I do, and you are equally annoying as me. We will give Christian many headaches, I think.”

“I always carry ibuprofen in my handbag.” She tried to joke, but it came out flat. 

Max looked at her for a moment, but then he grinned, so she imagined he must have thought her joke was funny. At least somewhat. “Adrian’s been trying to steal you since Canada.” He told her. 

She sighed. “That explains the espresso machine he sent to me during the summer break. I was very confused.”

He gave her a look. “You kept it?” He asked curiously. 

She nodded. “It is a good machine. Expensive.”

“Of course it was. It’s Adrian.” Max shrugged. 

They stopped a few feet from the Red Bull motorhome, which buzzed under the night lights like it was wired into a different voltage. Something kinetic hung in the air; possibility, maybe. Restlessness. Momentum.

She stared. “This feels like betrayal.”

Max rolled his eyes. “It is not betrayal.”

He nudged her shoulder. She recoiled, glaring at him. He raised his hands in defence. “Sorry. Sorry.” Then, quieter, he said. “You’ve outgrown the shadows, zusje. It is not your fault that your dad doesn’t know what to do with you. But we do. Adrian does. Christian definitely does. You belong somewhere that doesn’t try to keep you small.” 

She started to chew on her bottom lip anxiously, “Do you really think that I am worth all of this?”

He didn’t even blink. “I think you’re going to make me a world champion, Amelia Brown.”

— 

The Yas Marina Circuit gleamed beneath the Abu Dhabi sun, all smooth marble floors and overly modern hospitality suites. It felt more like a luxury mall than a racetrack, but Amelia liked it. Everything was polished, controlled. 

She slipped through the back corridors of the McLaren unit with practiced ease, unnoticed as usual. It was early, quiet, the calm before the chaos of FP1.

In Carlos’s driver room, she placed a neatly bound packet on the table beneath the television. His telemetry from the entire season, annotated and colour-coded: green for improvements, yellow for repeat tendencies, red for danger zones. She’d included braking inconsistencies, corner exit deltas, and fuel load trends, with suggestions tailored to the 2020 chassis.

He’d get it. He always did. Carlos read data like scripture.

In Lando’s room, she left the same. A different binder. Different tendencies. More throttle hesitation in traffic, sharper degradation when chasing, lapses in tire preservation across high-deg circuits. A note in the front, written in her smallest, sharpest handwriting.

You are an asshole. You are also better than your instincts. Learn the difference between fast and frantic. Good luck.

She didn’t linger. She didn’t need to. No one would know she’d been there except the two of them, and even then, it didn’t matter anymore. She’d done it. Helped them. One last time.

She turned down the corridor toward the exit, and almost walked straight into a man who was standing too stiffly in her path.

He was older, expensively dressed, with the familiar face of someone she’d seen on enough pit walls to know he didn’t belong there out of curiosity. Adam Norris. 

He looked her up and down, his voice clipped. “Ah. Amelia, is it?”

“That’s right.” She muttered. 

“I suppose we haven’t met.” He said. 

“No,” she said. “Not really.”

He hesitated. A beat passed. Two.

“I’ve… heard you’re very capable,” he said finally. “Talented. Bright.” He said it like he didn’t really believe it. 

She tilted her head. Frowned at him. “Did you tell Lando to stay away from me?”

He flinched, just barely. “I advised him to focus on his career.”

She smiled, but it didn’t reach her eyes. It wasn’t a happy smile. “You should teach your son better manners.”

She didn’t wait for a response. She stepped around him, slow, deliberate, and kept walking. Past the orange panels, past the McLaren logo, past the team she’d poured her entire self into. 

By the time the sun dipped below the grandstands and the lights came on for the weekend's final showdown, she was long gone from the paddock. A flight booked for her under a new team name. A seat at a new table. A blank page waiting for her red inked scrawl.

Red Bull knew she was coming.

They just didn’t know what she was prepared to become.

— 

The Browns’ living room was filled with the scent of cinnamon, pine, and whatever Christmas candle Tracy had been obsessed with that week. The fireplace crackled softly, fairy lights twinkled around the windows, and somewhere in the background, Ella Fitzgerald was crooning something vintage and sentimental.

Amelia sat cross-legged on the floor in sweatpants and a hoodie, half-watching as her dad unwrapped a book about American muscle cars from the 1960s. He grinned like a kid, holding it up for Tracy to see.

“This is great,” Zak said. “I’ve been looking for this one.”

“I know,” Tracy said, leaning in to kiss his cheek before returning to her place at the table with a glass of wine. “I listen, you know. I’m a good wife.”

Amelia smiled faintly. She hadn’t said much all day. She’d made breakfast. Helped put the chicken in the oven. Unwrapped the gifts they handed her; socks, a new set of sketching pencils, a silver pen engraved with her initials, and said thank you each time. But the weight in her chest hadn’t lifted, not even when her mother handed her a plate stacked high with garlicky roast potatoes. 

Zak was still talking, flipping through the book, animated now. “I’ve got such a good feeling about next season,” he said, his eyes bright. “The team’s in a good place. Carlos is dialled in, Lando’s matured a lot. And the Mercedes power unit; I know we’re still with Renault this year, but it’ll be a game-changer for us in twenty-one. Might be the year we really start bothering the top three again.”

Amelia swallowed hard. Her fork hovered above her plate, untouched. She glanced down at her food. It was getting cold. Her stomach turned.

Across the table, Tracy watched her. Her gaze was soft but sharp, a mother’s intuition in full force.

“Everything okay, Amelia?” She asked gently.

Amelia nodded. “Yeah,” she said, quickly. “Just tired. Long few months.”

Tracy didn’t push, but Amelia could tell she wasn’t convinced.

Her phone buzzed once, facedown on the table beside her glass of water. She flipped it over, half expecting a message from Carlos, or worse, from her dad, who had a terrible habit of sending her random articles from F1Tech like she wasn’t sitting five feet away.

But it wasn’t Carlos.

iMessage — 17:02pm

Vrolijk Kerstfeest,

Can’t wait for you to build my championship-winning car. – M.V. 

She exhaled, barely more than a breath. The corner of her mouth lifted. Not a smile, not really, but the closest she’d come to one all day. She tapped her fingers against the table, hiding the message beneath her palm.

Of all the gifts she’d been given that morning — the socks, the pen, the awkward hug from her dad that still smelled faintly of cinnamon and gasoline — this was the only one that made her feel something. Recognition.

She glanced at her dad, still rambling about wind tunnel simulations and team morale like the world hadn’t shifted beneath their feet. Then she looked back down at her plate, her fork still untouched.

She hadn’t told him yet. She didn’t know when she would.

Maybe she wouldn’t at all.

Maybe she’d take a page out of his book. 

— 

“Red Bull Racing Hire Amelia Brown as Technical Design Intern, Working Under Adrian Newey”

— Motorsport.com

Red Bull Racing Announces Amelia Brown as New Technical Design Intern “Mini Newey” Joins Office of the CTO Ahead of 2020 F1 Season

Red Bull Racing has officially confirmed the addition of Amelia Brown to its technical department, naming her as a Technical Design Intern working directly under Chief Technical Officer Adrian Newey.

Brown, 19, has quietly gained a reputation in Formula 1 circles for her analytical precision and instinctive approach to problem-solving. Though never officially affiliated with a team, her behind-the-scenes contributions have turned heads up and down the paddock — especially within the aerodynamic development community.

“She’s one of the sharpest minds I’ve come across in years,” said Newey in a brief statement. “She has an innate understanding of car behaviour, balance, and airflow mapping that’s rare at any level of engineering, let alone someone so early in their career.”

While her appointment as an “intern” may sound modest, Red Bull insiders are already referring to Brown as “Mini Newey,” a nod to the technical savant under whom she will be working and a reflection of the high expectations within the team.

Team Principal Christian Horner added, “We’ve always prided ourselves on fostering talent, and Amelia represents the next generation of creative engineering thought. Her insight, even during early informal conversations, has already helped shape some of our thinking going into 2020.”

When asked about her appointment, Brown declined to comment directly, but sources inside the team say she will be working across simulation, aero development, and design review cycles throughout the season.

“She’s not here to make coffee,” said Gianpiero Lambiase, Verstappen's race engineer. “She’s here to change the game.”

Red Bull Racing’s 2020 challenger is set to be unveiled in Bahrain next month. Whether Brown’s influence will be visible from day one remains to be seen — but if early whispers are any indication, she won’t stay behind the curtain for long.

NEXT CHAPTER

[adafruit]

🎄💾🗓️ Day 4: Retrocomputing Advent Calendar - The DEC PDP-11! 🎄💾🗓️

Released by Digital Equipment Corporation in 1970, the PDP-11 was a 16-bit minicomputer known for its orthogonal instruction set, allowing flexible and efficient programming. It introduced a Unibus architecture, which streamlined data communication and helped revolutionize computer design, making hardware design more modular and scalable. The PDP-11 was important in developing operating systems, including the early versions of UNIX. The PDP-11 was the hardware foundation for developing the C programming language and early UNIX systems. It supported multiple operating systems like RT-11, RSX-11, and UNIX, which directly shaped modern OS design principles. With over 600,000 units sold, the PDP-11 is celebrated as one of its era's most versatile and influential "minicomputers".

Check out the wikipedia page for some great history, photos (pictured here), and more -

And here's a story from Adafruit team member, Bill!

The DEC PDP-11 was the one of the first computers I ever programmed. That program was 'written' with a soldering iron.

I was an art student at the time, but spending most of my time in the engineering labs. There was a PDP-11-34 in the automation lab connected to an X-ray spectroscopy machine. Starting up the machine required toggling in a bootstrap loader via the front panel. This was a tedious process. So we ordered a diode-array boot ROM which had enough space to program 32 sixteen bit instructions.

Each instruction in the boot sequence needed to be broken down into binary (very straightforward with the PDP-11 instruction set). For each binary '1', a diode needed to be soldered into the array. The space was left empty for each '0'. 32 sixteen bit instructions was more than sufficient to load a secondary bootstrap from the floppy disk to launch the RT-11 operating system. So now it was possible to boot the system with just the push of a button.

I worked with a number DEC PDP-11/LSI-11 systems over the years. I still keep an LSI-11-23 system around for sentimental reasons.

Have first computer memories? Post’em up in the comments, or post yours on socialz’ and tag them #firstcomputer #retrocomputing – See you back here tomorrow!

[probablyasocialecologist]

Google search really has been taken over by low-quality SEO spam, according to a new, year-long study by German researchers. The researchers, from Leipzig University, Bauhaus-University Weimar, and the Center for Scalable Data Analytics and Artificial Intelligence, set out to answer the question "Is Google Getting Worse?" by studying search results for 7,392 product-review terms across Google, Bing, and DuckDuckGo over the course of a year.  They found that, overall, "higher-ranked pages are on average more optimized, more monetized with affiliate marketing, and they show signs of lower text quality ...  we find that only a small portion of product reviews on the web uses affiliate marketing, but the majority of all search results do."  They also found that spam sites are in a constant war with Google over the rankings, and that spam sites will regularly find ways to game the system, rise to the top of Google's rankings, and then will be knocked down. "SEO is a constant battle and we see repeated patterns of review spam entering and leaving the results as search engines and SEO engineers take turns adjusting their parameters," they wrote.

[...]

The researchers warn that this rankings war is likely to get much worse with the advent of AI-generated spam, and that it genuinely threatens the future utility of search engines: "the line between benign content and spam in the form of content and link farms becomes increasingly blurry—a situation that will surely worsen in the wake of generative AI. We conclude that dynamic adversarial spam in the form of low-quality, mass-produced commercial content deserves more attention."

[mbari-blog]

Meet MBARI: This team develops innovative new technology to map the seafloor 🤖🗺️

With marine life and ecosystems facing a rising tide of threats, the ocean exploration community needs nimble, cost-effective tools for measuring and monitoring ocean health. MBARI’s Control, Modeling, and Perception of Autonomous Systems Laboratory, known as the CoMPAS Lab is up to the challenge.

MBARI scientists and engineers build and adapt advanced technology that enhances ocean data collection. Led by engineer Giancarlo Troni, the CoMPAS Lab team develops scalable marine technology that can easily be modified for use in a wide variety of vehicles and platforms. 

Working with other teams across MBARI, the CoMPAS Lab leverages vehicles like the MiniROV to deploy and test new tools in Monterey Bay's submarine canyon and then adapt them for other mobile platforms. By sharing open-source design specifications and advanced algorithms with the wider ocean exploration community, we hope to expand access to MBARI’s engineering innovations.

MBARI technology is transforming what we know about the ocean and its inhabitants. Our scientists, engineers, and marine operations staff work together to create innovative tools for a more sustainable future where autonomous robots and artificial intelligence can track ocean health in real time and help us visualize ocean animals and environments. Studying our blue backyard is revealing our connection to the ocean—how it sustains us and how our actions on land may be threatening its future.

We’re spotlighting various teams at MBARI to showcase the different ways we’re studying the largest environment on Earth. We hope this series inspires a new generation of ocean explorers. Dive in.

[enzaelectric]

The Role of Relays and Timers in Industrial Automation Systems

In the world of industrial automation, efficiency, safety, and precision are crucial. Among the many components that contribute to a well-functioning automated system, relays and timers play a foundational role. These devices act as control elements that manage the flow of electricity, signal processes, and coordinate timing sequences — ensuring that operations run smoothly and safely.

In this article, we’ll explore how relays and timers work, their types, applications in automation systems, and how high-quality products — like those offered by Enza Electric — can enhance performance and reliability in industrial settings.

What Are Relays?

A relay is an electromechanical or electronic switch used to control a circuit by a separate low-power signal or multiple signals. In industrial automation, relays act as a bridge between the control system and the equipment being operated — allowing machines to be turned on or off automatically.

Types of Relays Commonly Used in Automation:

Electromechanical Relays (EMRs): Use physical moving parts; reliable and easy to maintain.

Solid-State Relays (SSRs): No moving parts; faster switching, longer lifespan, and better for high-speed applications.

Thermal Overload Relays: Protect motors and equipment from overheating.

Control Relays: Designed for controlling multiple contacts simultaneously in automation systems.

What Are Timers?

Timers are devices used to delay or repeat electrical signals at predetermined intervals. They help synchronize tasks, automate sequences, and provide controlled outputs over time — critical for complex industrial processes.

Common Timer Functions:

On-delay and off-delay timing

Interval timing

Cyclic or repeat cycle operation

Flashing and sequencing operations

Types of Timers:

Analog Timers: Manual dial settings, simple and cost-effective.

Digital Timers: Offer precise programming, displays, and flexible timing ranges.

Programmable Timers: Ideal for complex automation routines requiring multiple sequences.

Key Roles in Industrial Automation Systems

1. Process Control and Sequencing

Relays and timers enable automated machines to follow a specific sequence — turning motors, lights, or pumps on and off in a logical order. For example, a conveyor system can use a relay-timer combination to control material flow with millisecond precision.

2. Safety and Protection

Relays protect systems by interrupting circuits in case of faults. Combined with timers, they can ensure delay before activating emergency stop functions, preventing false triggers and increasing worker safety.

3. Load Management

In high-demand industrial environments, relays help manage load distribution by selectively energizing or de-energizing machinery. Timers assist in staggered starts, reducing power surges.

4. Energy Efficiency

By automating start/stop functions and managing operation durations, timers help reduce unnecessary energy use. Relays ensure only the necessary loads are powered, minimizing wastage.

5. System Monitoring and Feedback

In smart automation, relays provide feedback signals to the control system. Timers assist with diagnostics by creating intervals for testing or data collection.

Benefits of Using High-Quality Relays and Timers

Choosing the right components significantly impacts system performance and longevity. Enza Electric’s relays and timers are engineered with:

High durability for tough industrial environments

Precision timing for reliable operation

Easy installation and compact designs

Compliance with international safety and quality standards

By integrating Enza’s low-voltage solutions, businesses in the GCC, MENA, and Africa regions benefit from cost-effective, scalable automation that supports both current needs and future expansion.

Common Applications in Industrial Sectors

Manufacturing Plants: Control of motors, robotic arms, and production lines.

HVAC Systems: Timed control of fans, compressors, and dampers.

Water Treatment Facilities: Sequenced operation of pumps and valves.

Packaging Machinery: Relay and timer-based coordination of packing, sealing, and labeling.

Food and Beverage Industry: Process automation with hygiene-compliant controls.

Final Thoughts

Relays and timers are the silent operators behind the success of industrial automation systems. From process optimization to enhanced safety and energy management, these components are indispensable.

When sourced from a trusted manufacturer like Enza Electric, businesses are not only investing in reliable hardware but also in the longevity, scalability, and safety of their entire operation.

Ready to Power Your Automation?

Explore Enza Electric’s wide range of relays, timers, and other low-voltage switchgear solutions designed to meet the evolving demands of modern industries. Visit www.enzaelectric.com to learn more or request a quote today.

[daleeltrading]

Low Voltage Switchgear for Commercial Buildings: Key Requirements, Standards, and Best Practices

In the construction and modernization of commercial buildings, low voltage switchgear plays a critical role in ensuring safe, reliable, and efficient power distribution. From office complexes and retail malls to hospitals and data centers, these buildings rely on robust electrical infrastructure — and low voltage switchgear is the backbone of that system.

Whether you’re an electrical panel manufacturer, a building contractor, or a facility manager, understanding the key requirements for selecting and integrating LV switchgear in commercial buildings is essential.

What Is Low Voltage Switchgear?

Low voltage switchgear is an assembly of electrical devices designed to control, protect, and isolate electrical circuits under 1,000V AC. It typically includes:

· Air Circuit Breakers (ACBs)

· Molded Case Circuit Breakers (MCCBs)

· Miniature Circuit Breakers (MCBs)

· Contactors and Relays

· Busbars

· Metering and Protection Devices

Why LV Switchgear Is Critical in Commercial Buildings

Commercial buildings demand:

· Continuous power availability

· High energy efficiency

· Electrical safety for occupants

· Scalability for future expansion

Low voltage switchgear delivers:

· Protection against overloads and short circuits

· Isolation for maintenance and fault conditions

· Load management for energy optimization

· Monitoring via smart metering and IoT integration

Key Requirements for LV Switchgear in Commercial Applications

Safety & Protection Standards

Must comply with IEC 61439 or UL 891 depending on the region

Must include overcurrent, short-circuit, and earth fault protection

Arc flash safety features (like arc fault containment) are crucial in populated buildings

2. Compact Footprint and Modular Design

Space is often limited in commercial utility rooms. LV switchgear should be:

Compact to fit tight electrical rooms

Modular for easy expansion as building loads increase

3. Smart Metering and Monitoring

Today’s commercial buildings demand energy-efficient and intelligent systems. Choose LV switchgear with:

Integrated smart meters

IoT-based energy monitoring

Remote control via BMS (Building Management Systems)

4. High Service Continuity (Form Segregation)

To ensure maintenance without full shutdowns, opt for:

Form 3b or Form 4b segregation

Withdrawable ACBs or MCCBs

Dual incomer and bus coupler arrangements for redundancy

5. Scalability and Flexibility

Commercial facilities evolve. Your switchgear must too:

Allow for load expansion

Be compatible with renewable sources (like solar panels)

Support future retrofits and upgrades

Standards to Follow

Ensure LV switchgear in commercial buildings is compliant with:

IEC 61439–1/2 — General and Power Switchgear Assemblies

UL 891 — US Standard for Dead-Front Switchboards

NEC (National Electrical Code) or local building codes

Also factor in:

Ingress Protection (IP Ratings) — IP54/IP65 for dusty or humid environments

Short Circuit Withstand Ratings — Ensure it matches building fault levels

Best Practices for Installation in Commercial Building

Centralize the switchgear for easy maintenance and reduced cable runs

Provide ample ventilation or forced cooling

Use color-coded wiring for clear identification

Ensure emergency shutdown mechanisms are accessible

Document the system with single-line diagrams and load calculations

Applications in Commercial Buildings

Office Buildings: Smart load shedding and energy metering

Hospitals: Redundant systems for life safety

Data Centers: N+1 configurations and continuous monitoring

Malls & Retail: Segmented load distribution for different zones

Hotels: Backup and emergency panel integration

Choosing the Right LV Switchgear Partner

Look for a supplier who provides

Customized switchgear assemblies

Fast lead times and local support

Engineering assistance for layout and specs

Pre-tested or type-tested assemblies

Future Trends in Commercial LV Switchgear

Digitization & predictive maintenance

Energy-efficient, low-loss designs

AI-assisted load forecasting

SF6-free eco-friendly designs

Need Help Choosing LV Switchgear for Your Next Commercial Project?

At Daleel Trading, we supply certified, compact, and smart low voltage switchgear solutions tailored for commercial buildings. Whether it’s a small retail site or a multi-floor office tower, we deliver performance, compliance, and reliability — on time.

👉 Contact us today for a quote, a technical consultation, or a custom panel solution.

[spacetimewithstuartgary]

New data model paves way for seamless collaboration among US and international astronomy institutions

Software engineers have been hard at work to establish a common language for a global conversation. The topic—revealing the mysteries of the universe. The U.S. National Science Foundation National Radio Astronomy Observatory (NSF NRAO) has been collaborating with U.S. and international astronomy institutions to establish a new open-source, standardized format for processing radio astronomical data, enabling interoperability between scientific institutions worldwide.

When telescopes are observing the universe, they collect vast amounts of data—for hours, months, even years at a time, depending on what they are studying. Combining data from different telescopes is especially useful to astronomers, to see different parts of the sky, or to observe the targets they are studying in more detail, or at different wavelengths. Each instrument has its own strengths, based on its location and capabilities.

"By setting this international standard, NRAO is taking a leadership role in ensuring that our global partners can efficiently utilize and share astronomical data," said Jan-Willem Steeb, the technical lead of the new data processing program at the NSF NRAO. "This foundational work is crucial as we prepare for the immense data volumes anticipated from projects like the Wideband Sensitivity Upgrade to the Atacama Large Millimeter/submillimeter Array and the Square Kilometer Array Observatory in Australia and South Africa."

By addressing these key aspects, the new data model establishes a foundation for seamless data sharing and processing across various radio telescope platforms, both current and future.

International astronomy institutions collaborating with the NSF NRAO on this process include the Square Kilometer Array Observatory (SKAO), the South African Radio Astronomy Observatory (SARAO), the European Southern Observatory (ESO), the National Astronomical Observatory of Japan (NAOJ), and Joint Institute for Very Long Baseline Interferometry European Research Infrastructure Consortium (JIVE).

The new data model was tested with example datasets from approximately 10 different instruments, including existing telescopes like the Australian Square Kilometer Array Pathfinder and simulated data from proposed future instruments like the NSF NRAO's Next Generation Very Large Array. This broader collaboration ensures the model meets diverse needs across the global astronomy community.

Extensive testing completed throughout this process ensures compatibility and functionality across a wide range of instruments. By addressing these aspects, the new data model establishes a more robust, flexible, and future-proof foundation for data sharing and processing in radio astronomy, significantly improving upon historical models.

"The new model is designed to address the limitations of aging models, in use for over 30 years, and created when computing capabilities were vastly different," adds Jeff Kern, who leads software development for the NSF NRAO.

"The new model updates the data architecture to align with current and future computing needs, and is built to handle the massive data volumes expected from next-generation instruments. It will be scalable, which ensures the model can cope with the exponential growth in data from future developments in radio telescopes."

As part of this initiative, the NSF NRAO plans to release additional materials, including guides for various instruments and example datasets from multiple international partners.

"The new data model is completely open-source and integrated into the Python ecosystem, making it easily accessible and usable by the broader scientific community," explains Steeb. "Our project promotes accessibility and ease of use, which we hope will encourage widespread adoption and ongoing development."

[usafphantom2]

Introducing F-21: The Latest 4th Generation Fighter Plane from Lockheed Martin

Lockheed Martin F-21

Taking its game forward, Lockheed Martin has proposed an improved version of the popular F-16 at Aero India 2019 called the F-21 and claims it will be the most advanced, 4th generation Fighter Aircraft in the world.

Lockheed Martin had earlier offered its F-16 has claimed that the F-21 will be specifically configured for the Indian Air Force and will strengthen India’s path to an advanced airpower future.

An option for new production, the F-21 will have a slew of the latest state of the art technological advancements and improvements that include a new radar system, stealth detection capabilities, and electronics design that add a lot of value to the already iconic aircraft.

F-21 will be based on a proven platform, with a new branding

TATA-Lockheed Martin F-21

“The F-21 is different, inside and out,” said Vivek Lall, vice president of Strategy and Business Development for Lockheed Martin Aeronautics.

Lockheed Martin has long said it plans to shift its F-16 production lines to India in cooperation with Tata. It has gone so far as to suggest it could establish an F-16 production line in the country regardless of whether it wins the MRCA deal or not.

For years, Lockheed Martin has been lobbying India for MMRCA contract in excess of 100 fighter jets. India traditionally bought its defence technology from and Russia, but recently, it has been buying American military technology, including the P-8 Poseidon and AH-64 Apache attack helicopter.

Now that there is a difficult competition between Lockheed Martin’s F-16, Boeing’s F/A-18E/F Super Hornet, the Swedish Gripen, French Rafale, European Eurofighter Typhoon, and Russian MiG-35. Lockheed Martin had to increase the stakes.

F-21 will be nimble, carry decent ordnance, and have lower costs to maintain

Weapon Systems of Lockheed Martin F-21

The F-21 will incorporate an upgraded mission computer, a state of the art avionics and includes multi-function displays. With a Central, Pedestal Display will help improve the crew’s situational awareness through Real-Time processing of the flight data.

In addition, the F-21 will also come with an upgradable display generator, a link-16 data link, HF/UHH/VHF multiple frequency radio communication support as well as IFF (identification friend or foe) enhancements.

The three original computers will be replaced with a single modular mission computer which provides far higher computing power to the avionics and weapons systems in addition to providing accurate targeting, air to air strike performances and information capabilities.

According to Lockheed Martin, the F-21 will be capable of providing affordable and scalable advanced combat capabilities through its Active Electronically Scanned Array radar. The Central Pedestal Display also provides a high-resolution display with colour maps, zoom functionality and Night vision systems, thereby helping to keep the aircraft in an enhanced state of Battle Awareness.

The Aircraft will also be capable of integration with the FLIR laser system and navigation as well as reconnaissance pods. The F-21 is also upgraded with state of the art threat warning systems, jammers, electronic countermeasure equipment pods and chaff and infrared flare dispensers to take care of complex and varied battlefield situations.

What will be the future of F-21?

As of now, the F-21 is just a concept. The F-21 will be tailor-made to meet the requirements of the Indian Airforce and will be a 4.5+ generation fighter if the company wins the estimated $18-billion order for the 115 planes.

Officially known as the “Fighting Falcon” commonly known as the Viper by pilots and crew, The F-16 is one of the most renowned and battle-tested supersonic fighter aircraft in the world. This single engine, multirole aircraft developed by Lockheed Martin (formerly General Dynamics), was developed originally for the United States Air Force and is now regarded as the most successful all-weather multirole fighter aircraft.

Entering into production almost four decades back in 1976, more than 4500 F-16 aircraft have been built and although no more bought by the United States Air Force, improved versions are being built for various export customers.

@defenseaviation.com

[critical-skeptic]

The Illusion of Complexity: Binary Exploitation in Engagement-Driven Algorithms

Abstract:

This paper examines how modern engagement algorithms employed by major tech platforms (e.g., Google, Meta, TikTok, and formerly Twitter/X) exploit predictable human cognitive patterns through simplified binary interactions. The prevailing perception that these systems rely on sophisticated personalization models is challenged; instead, it is proposed that such algorithms rely on statistical generalizations, perceptual manipulation, and engineered emotional reactions to maintain continuous user engagement. The illusion of depth is a byproduct of probabilistic brute force, not advanced understanding.

1. Introduction

Contemporary discourse often attributes high levels of sophistication and intelligence to the recommendation and engagement algorithms employed by dominant tech companies. Users report instances of eerie accuracy or emotionally resonant suggestions, fueling the belief that these systems understand them deeply. However, closer inspection reveals a more efficient and cynical design principle: engagement maximization through binary funneling.

2. Binary Funneling and Predictive Exploitation

At the core of these algorithms lies a reductive model: categorize user reactions as either positive (approval, enjoyment, validation) or negative (disgust, anger, outrage). This binary schema simplifies personalization into a feedback loop in which any user response serves to reinforce algorithmic certainty. There is no need for genuine nuance or contextual understanding; rather, content is optimized to provoke any reaction that sustains user attention.

Once a user engages with content —whether through liking, commenting, pausing, or rage-watching— the system deploys a cluster of categorically similar material. This recurrence fosters two dominant psychological outcomes:

If the user enjoys the content, they may perceive the algorithm as insightful or “smart,” attributing agency or personalization where none exists.

If the user dislikes the content, they may continue engaging in a doomscroll or outrage spiral, reinforcing the same cycle through negative affect.

In both scenarios, engagement is preserved; thus, profit is ensured.

3. The Illusion of Uniqueness

A critical mechanism in this system is the exploitation of the human tendency to overestimate personal uniqueness. Drawing on techniques long employed by illusionists, scammers, and cold readers, platforms capitalize on common patterns of thought and behavior that are statistically widespread but perceived as rare by individuals.

Examples include:

Posing prompts or content cues that seem personalized but are statistically predictable (e.g., "think of a number between 1 and 50 with two odd digits” → most select 37).

Triggering cognitive biases such as the availability heuristic and frequency illusion, which make repeated or familiar concepts appear newly significant.

This creates a reinforcing illusion: the user feels “understood” because the system has merely guessed correctly within a narrow set of likely options. The emotional resonance of the result further conceals the crude probabilistic engine behind it.

4. Emotional Engagement as Systemic Currency

The underlying goal is not understanding, but reaction. These systems optimize for time-on-platform, not user well-being or cognitive autonomy. Anger, sadness, tribal validation, fear, and parasocial attachment are all equally useful inputs. Through this lens, the algorithm is less an intelligent system and more an industrialized Skinner box: an operant conditioning engine powered by data extraction.

By removing the need for interpretive complexity and relying instead on scalable, binary psychological manipulation, companies minimize operational costs while maximizing monetizable engagement.

5. Black-Box Mythology and Cognitive Deference

Compounding this problem is the opacity of these systems. The “black-box” nature of proprietary algorithms fosters a mythos of sophistication. Users, unaware of the relatively simple statistical methods in use, ascribe higher-order reasoning or consciousness to systems that function through brute-force pattern amplification.

This deference becomes part of the trap: once convinced the algorithm “knows them,” users are less likely to question its manipulations and more likely to conform to its outputs, completing the feedback circuit.

6. Conclusion

The supposed sophistication of engagement algorithms is a carefully sustained illusion. By funneling user behavior into binary categories and exploiting universally predictable psychological responses, platforms maintain the appearance of intelligent personalization while operating through reductive, low-cost mechanisms. Human cognition —biased toward pattern recognition and overestimation of self-uniqueness— completes the illusion without external effort. The result is a scalable system of emotional manipulation that masquerades as individualized insight.

In essence, the algorithm does not understand the user; it understands that the user wants to be understood, and it weaponizes that desire for profit.

[sngl-led-auto-lights]

How do Teslas manage power differently from traditional cars, especially regarding overnight features like headlights?

Teslas manage power fundamentally differently from traditional internal combustion engine (ICE) cars—especially for "always-on" features like headlights—through architectural differences in their electrical systems, intelligent power management, and energy source prioritization. Here’s how they do it:

⚡ 1. Core Power Architecture Differences Component Traditional ICE Car Tesla

Primary Energy Source Alternator (belt-driven) recharges the 12V battery High-voltage (400V) battery pack → powers everything 12V System Power Source Lead-acid battery (depletes quickly) DC-DC converter taps HV pack to charge 12V lithium battery Headlights/Electronics Run only off 12V battery → drains in hours Prioritized LV loads → HV pack replenishes 12V as needed

🔋 2. Overnight Power Management

Teslas avoid dead batteries via layered power optimization: Deep Sleep Mode:

After 15-30 mins idle, Tesla shuts down non-essential systems (sentry mode, infotainment), cutting power draw to ~10-50W (vs. 200W+ in ICE idling).

Adaptive 12V Charging:

The DC-DC converter tops up the 12V battery only when its voltage drops → minimizes HV pack cycles.

Lithium 12V Battery (2021+ models):

Replaced lead-acid → 4x longer lifespan, faster charging, lighter weight.

Example: Headlights Left On ICE Car: Drains 12V battery in ~4-8 hours (500W draw).

Tesla:

Headlights auto-shutoff after delay (or via app).

If left on: HV pack feeds DC-DC converter → powers lights for days (~0.1% HV pack loss/hour).

🌙 3. Tesla-Specific "Overnight" Features Feature Power Source ICE Equivalent

Sentry Mode HV pack → 12V system (~200W) N/A – ICE battery dies fast Climate Keep HV pack → heat pump (1-3kW) Engine must idle (1-2L fuel/hr) Software Updates HV pack → compute (300W+) Drains 12V battery rapidly

HV battery sustains all features without idling an engine.

🔧 4. Real-World Efficiency Data Vampire Drain:

Tesla loses ~1-2% battery/day with sentry/climate off.

ICE cars lose 0.5–1L/day in fuel to keep 12V alive during shipping/storage.

Headlight Overnight Draw:

Tesla LED headlights: ~50W total.

ICE halogen headlights: 110W+.

⚠️ Why Tesla’s System Wins No Parasitic Losses: No alternator constantly burning fuel to charge a 12V system.

Energy Scale: Tapping a 75kWh HV pack for 12V loads is like "using an ocean to fill a bathtub."

Predictive Shutdown: Tesla sleeps deeply unless explicitly woken (via app or key).

🛠️ Edge Cases & Fail-Safes 12V Battery Failure:

Tesla alerts drivers weeks in advance → DC-DC converter keeps it charged proactively. HV Pack Depletion:

If HV pack hits 0%, the car uses reserve energy to boot critical systems for recovery. Frozen Temperatures:

HV pack self-heats to maintain efficiency (ICE batteries struggle below -10°C).

Bottom Line: Teslas treat electricity like a data network—intelligently routed, prioritized, and scalable—while ICE cars rely on wasteful "always-on" generation. This allows features like headlights, sentry mode, and climate control to run indefinitely overnight without stranding the driver. 🔋💡

[almondenterprise]

Innovations in Electrical Switchgear: What’s New in 2025?

The electrical switchgear industry is undergoing a dynamic transformation in 2025, fueled by the rapid integration of smart technologies, sustainability goals, and the growing demand for reliable power distribution systems. As a key player in modern infrastructure — whether in industrial plants, commercial facilities, or utilities — switchgear systems are becoming more intelligent, efficient, and future-ready.

At Almond Enterprise, we stay ahead of the curve by adapting to the latest industry innovations. In this blog, we’ll explore the most exciting developments in electrical switchgear in 2025 and what they mean for businesses, contractors, and project engineers.

Rise of Smart Switchgear

Smart switchgear is no longer a futuristic concept — it’s a necessity in 2025. These systems come equipped with:

IoT-based sensors

Real-time data monitoring

Remote diagnostics and control

Predictive maintenance alerts

This technology allows for remote management, helping facility managers reduce downtime, minimize energy losses, and detect issues before they become critical. At Almond Enterprise, we supply and support the integration of smart switchgear systems that align with Industry 4.0 standards.

2. Focus on Eco-Friendly and SF6-Free Alternatives

Traditional switchgear often relies on SF₆ gas for insulation, which is a potent greenhouse gas. In 2025, there’s a significant shift toward sustainable switchgear, including:

Vacuum Interrupter technology

Air-insulated switchgear (AIS)

Eco-efficient gas alternatives like g³ (Green Gas for Grid)

These options help organizations meet green building codes and corporate sustainability goals without compromising on performance.

3. Wireless Monitoring & Cloud Integration

Cloud-based platforms are transforming how switchgear systems are managed. The latest innovation includes:

Wireless communication protocols like LoRaWAN and Zigbee

Cloud dashboards for real-time visualization

Integration with Building Management Systems (BMS)

This connectivity enhances control, ensures quicker fault detection, and enables comprehensive energy analytics for large installations

4. AI and Machine Learning for Predictive Maintenance

Artificial Intelligence is revolutionizing maintenance practices. Switchgear in 2025 uses AI algorithms to:

Predict component failure

Optimize load distribution

Suggest optimal switchgear settings

This reduces unplanned outages, increases safety, and extends equipment life — particularly critical for mission-critical facilities like hospitals and data centers.

5. Enhanced Safety Features and Arc Flash Protection

With increasing focus on workplace safety, modern switchgear includes:

Advanced arc flash mitigation systems

Thermal imaging sensors

Remote racking and switching capabilities

These improvements ensure safer maintenance and operation, protecting personnel from high-voltage hazards.

6. Modular & Scalable Designs

Gone are the days of bulky, rigid designs. In 2025, switchgear units are:

Compact and modular

Easier to install and expand

Customizable based on load requirements

Almond Enterprise supplies modular switchgear tailored to your site’s unique needs, making it ideal for fast-paced infrastructure developments and industrial expansions.

7. Global Standardization and Compliance

As global standards evolve, modern switchgear must meet new IEC and IEEE guidelines. Innovations include:

Improved fault current limiting technologies

Higher voltage and current ratings with compact dimensions

Compliance with ISO 14001 for environmental management

Our team ensures all equipment adheres to the latest international regulations, providing peace of mind for consultants and project managers.

Final Thoughts: The Future is Electric

The switchgear industry in 2025 is smarter, safer, and more sustainable than ever. For companies looking to upgrade or design new power distribution systems, these innovations offer unmatched value.

At Almond Enterprise, we don’t just supply electrical switchgear — we provide expert solutions tailored to tomorrow’s energy challenges. Contact us today to learn how our cutting-edge switchgear offerings can power your future projects.

[cgink]

From Clicks to Conversions: How Precision Marketing Drives Real Business Growth

Most marketing campaigns look good on paper. They have fancy creatives, clever taglines, and sometimes even decent reach. But at the end of the day, the real question is — Did it convert?

Because in today’s digital ecosystem, awareness alone doesn’t pay the bills. What matters is performance — and that’s where CG iNK leads the way.

Whether you’re an e-commerce startup, B2B service, or regional brand expanding online, you need an agency that doesn’t just promote — it performs. That’s why top brands choose CG iNK as their trusted partner and recognize it as the Best Performance Marketing Agency In India.

What is Performance Marketing, Really? (And Why Most Agencies Get It Wrong)

Performance marketing isn’t about spending money. It’s about making every rupee spent work harder.

At its core, performance marketing is results-first. You don’t just run ads — you optimize continuously. You don’t just boost content — you track every click, conversion, and scroll depth. It’s data-driven, ROI-focused, and brutally honest.

Here’s where many agencies fail: They confuse performance marketing with just “running ads.”

But at CG iNK, we know better.

Our campaigns are built on a tight integration of:

Paid media (Meta, Google, YouTube, LinkedIn)

Landing page optimization

High-converting ad copy

Behavioral targeting

Funnel structuring

Retargeting strategies

A/B testing at scale

And real-time performance audits

That’s how CG iNK delivers measurable, scalable results — making it the Best Performance Marketing Agency In India for brands serious about growth.

Why CG iNK Wins Where Others Waste Budget

Let’s be blunt — most performance campaigns leak money. The audience is too broad. The messaging is off. The landing page takes too long to load. The follow-up strategy is missing.

At CG iNK, we don’t let any of that slide.

Here’s how we do things differently:

Business Goals First, Platforms Second We don’t begin with “let’s run Meta ads.” We begin with: “What is your conversion worth? What’s your CAC goal? What does your customer actually need?” Platforms are tools. Strategy is king.

Creative That Converts, Not Just Looks Good Our team builds performance-ready visuals and copy. Every word, every button, every scroll is planned to reduce friction and improve results.

Live Monitoring, Real Optimization We don’t wait for weeks to change what’s not working. If an ad’s performance drops today, we adjust tomorrow. Speed = savings.

From First Click to Final Sale We track every part of the user journey — from ad impression to form submission, from site visit to WhatsApp chat. That’s how we deliver not just traffic, but action. This no-nonsense, ROI-centric approach is what sets CG iNK apart as the Best Performance Marketing Agency In India.

Real Campaigns. Real Conversions. Real Clients.

Let’s talk proof — not promises.

✅ A Luxury Pillow Brand scaled from ₹2.3 ROAS to ₹5.8 ROAS within 45 days of campaign optimization, by restructuring its funnel, targeting purchase-intent keywords, and using voiceover-led reels produced in-house by CG iNK.

✅ A Modular Kitchen Brand in Uttarakhand generated 80+ qualified leads in just 21 days by combining Meta lead forms with Hindi-English ad copy, CTAs, and customer trust-building carousels. This is not just “marketing.”

This is smart, performance-engineered storytelling. And it's the reason CG iNK is acknowledged as the Best Performance Marketing Agency In India by clients who track results, not just likes.

Full-Funnel Thinking: The Real Power of CG iNK

One of CG iNK’s biggest advantages? We don’t just run your ads — we fix your full funnel.

Is your landing page converting under 2%? We fix it.

Is your ad frequency high but CTR low? We test new creatives.

Is your lead quality weak? We refine targeting and pre-qualifiers.

Is your CRM response slow? We sync WhatsApp automation.

From cold traffic to closed sales, every part of the journey matters — and we’re the rare team that takes ownership of it all.

That’s the mindset you get when working with the Best Performance Marketing Agency In India — we’re in it for your results, not just the retainer.

What You Get When You Work With CG iNK

Let’s be crystal clear — CG iNK isn’t a vendor. We’re your growth partner.

Here’s what working with us looks like:

✍️ Performance-Focused Copywriting Every ad, email, and landing page is crafted to convert.

🎯 Precise Audience Targeting No wasted impressions. We go after intent, not guesswork.

📊 Weekly Dashboards + Action Plans You see what we see — and you see it in real numbers.

📽️ In-House Video Creatives Product demos, reels, testimonial-style ads — we script, shoot, edit.

📞 ROI, Not Excuses If it’s not working, we fix it. No blame game.

With this approach, CG iNK doesn’t just do performance marketing. We do outcome marketing — and that’s what earns us the title of the Best Performance Marketing Agency In India.

Conclusion: If It’s Not Measurable, It’s Not Marketing

In today’s economy, every click costs money. Every scroll matters. Every conversion counts. That’s why you need more than an agency — you need a results-obsessed team that works with speed, skill, and strategy.

You need CG iNK.

So if you’re done wasting budget on underperforming ads and are ready to invest in performance that pays off — the choice is obvious.

Choose results. Choose expertise. Choose CG iNK — the Best Performance Marketing Agency In India.

Want to grow your brand with expert digital marketing solutions? 📞 Call us: +91 9057137131 🌐 Website: www.cgink.in 📧 Email: cgink.in@gmail.com

[digitalmarketingstrategistin]

DIGITAL MARKETING STRATEGIST IN KANNUR

Hello As a digital marketing strategist, I'm Keerthana Sibin, and I'm passionate about using data-driven decision-making, innovative campaigns, and the strength of digital platforms to help brands expand. This blog is your go-to source for ideas, tactics, and practical advice in the always changing digital market, whether you're a startup trying to make an impression or an established company searching for scalable growth.

Here, I simplify difficult marketing ideas into doable, real-world suggestions that you can use right now, covering everything from paid advertising and analytics to SEO and content marketing.

Digital Marketing Services

Search Engine Optimization (SEO)

Social Media Marketing (SMM)

Our specialty at Keerthana Sibin is enabling businesses to use smart lead generation strategies that increase their clientele and promote long-term success. As a result, to guarantee a steady flow of qualified leads, our team of knowledgeable Lead Generation Specialists combines cutting-edge strategies with industry best practices.

We customize our lead generating tactics to fit your particular target market and goals since we understand that every business is different. Furthermore, our professionals are dedicated to producing results that support the expansion of your business, whether it be through focused outreach, digital marketing, or content production.

MY SKILLS

Search Engine Optimization ( SEO​ )

Search Engine Marketing, or SEM​

Social media marketing, or SMM

Email Marketing

Content Writing

Web Designing

My service

Search Engine Optimization ( SEO​ )

I employ only white-hat SEO techniques to ethically enhance your website's ranking. By focusing on sustainable practices such as creating high-quality, user-centric content and optimizing on-page elements, I aim to increase your website's organic traffic. This approach not only improves visibility but also builds trust and authority in your industry​

Social media marketing, or SMM

Social media marketing (SMM) leverages platforms like Facebook, Instagram, TikTok, YouTube, and LinkedIn to actively promote brands, engage audiences, and drive business growth. By creating and sharing tailored content—such as posts, videos, stories, and live sessions—businesses connect with their target audiences, build brand loyalty, and enhance customer experiences. ​

Search Engine Marketing, or SEM​

Search Engine Marketing (SEM) stands as one of the most effective digital marketing strategies. By utilizing paid advertising, SEM allows businesses to achieve immediate visibility on search engine results pages (SERPs). This approach enables companies to reach a targeted audience actively searching for their products or services, thereby increasing website traffic and potential conversions​

EMAIL MARKETING

Email marketing stands as a pivotal element in digital marketing strategies, offering businesses a direct line to their customers. By crafting personalized and targeted email campaigns, businesses can nurture relationships, promote products or services, and drive conversions. Moreover, utilizing segmentation and automation tools allows for timely and relevant communication, enhancing customer experience and satisfaction. Consequently, email marketing not only fosters trust but also builds long-term relationships with the audience.​

Content Writing

Instead of promoting a product or service directly, content marketing entails creating content that speaks to the interests and requirements of your target audience. For instance, blog entries, videos, podcasts, infographics, and social media posts are just a few of the formats in which this content can be found. By offering helpful information, businesses can gain credibility and become recognized as thought leaders in their sector. Consequently, content marketing not only fosters trust but also builds long-term relationships with the audience.​

Web Designing

The creation and planning of a website's structure, appearance, and layout is known as web design. Consequently, it highlights a website's appearance and user experience. In addition, to being aesthetically pleasing, a well-designed website is also practical and easy to use. By utilizing a variety of tools and technologies, including HTML, CSS, and graphic design software, web designers create websites that are compatible with computers, tablets, and smartphones. Therefore, web design is crucial for ensuring a seamless user experience across different devices.​

GOAL

Creating data-driven tactics that increase online visibility, encourage meaningful audience engagement, and propel quantifiable business success is my goal as a digital marketing strategist. I want to close the gap between brands and their audiences by combining creative content production, focused advertising, and ongoing performance optimization to guarantee long-term success in the digital sphere.

VISION 

Our objective is to become a dependable leader in digital marketing by helping businesses create genuine strategies that will help them engage deeply with their target audiences and thrive in the quickly evolving digital space. Furthermore, we want to develop results-driven, moral, and impactful tactics that not only accomplish business goals but also foster positive digital experiences."

Contacts

Consequently, this expression not only invites guests to initiate a conversation but also encourages them to engage in meaningful interactions, thereby fostering a welcoming and inclusive atmosphere.

​

[jollystrangernymph]

From Chips to Clouds: Exploring Intel's Role in the Next Generation of Computing

Introduction

The world of computing is evolving at breakneck speed, and at the forefront of this technological revolution is Intel Corp. Renowned for its groundbreaking innovations in microprocessors, Intel's influence extends far beyond silicon chips; it reaches into the realms of artificial intelligence, cloud computing, and beyond. This article dives deep into Intel's role in shaping the next generation of computing, exploring everything from its historical contributions to its futuristic visions.

From Chips to Clouds: Exploring Intel's Role in the Next Generation of Computing

Intel has long been synonymous with computing power. Founded in 1968, it pioneered the microprocessor revolution that transformed personal computing. Today, as we transition from conventional machines to cloud-based systems powered by artificial intelligence and machine learning, Intel remains a critical player.

The Evolution of Intel’s Microprocessors A Brief History

Intel's journey began with the introduction of the first commercially available microprocessor, the 4004, in 1971. Over decades, it has relentlessly innovated:

1970s: Introduction of the 8086 architecture. 1980s: The rise of x86 compatibility. 1990s: Pentium processors that made personal computers widely accessible.

Each evolution marked a leap forward not just for Intel but for global computing capabilities.

Current Microprocessor Technologies

Today’s microprocessors are marvels of engineering. Intel’s current lineup features:

Core i3/i5/i7/i9: Catering to everything from basic tasks to high-end gaming. Xeon Processors: Designed for servers and high-performance computing. Atom Processors: Targeting mobile devices and embedded applications.

These technologies are designed with advanced architectures like Ice Lake and Tiger Lake that enhance performance while optimizing power consumption.

Click for more info Intel’s Influence on Cloud Computing The Shift to Cloud-Based Solutions

In recent years, businesses have increasingly embraced cloud computing due to its scalability, flexibility, and cost-effectiveness. Intel has played a crucial role in this transition by designing processors optimized for data centers.

Intel’s Data Center Solutions

Intel provides various solutions tailored for cloud service providers:

Intel Xeon Scalable Processors: Designed specifically for workloads in data centers. Intel Optane Technology: Enhancing memory performance and storage capabilities.

These innovations help companies manage vast amounts of data efficiently.

Artificial Intelligence: A New Frontier AI Integration in Everyday Applications

Artificial Intelligence (AI) is becoming integral to modern computing. From smart assistants to advanced analytics tools, AI relies heavily on processing power—something that Intel excels at providing.

Intel’s AI Initiatives

Through initiat