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Fluent Bit and AI: Unlocking Machine Learning Potential
These days, everywhere you look, there are references to Generative AI, to the point that what have Fluent Bit and GenAI got to do with each other? GenAI has the potential to help with observability, but it also needs observation to measure its performance, whether it is being abused, etc. You may recall a few years back that Microsoft was trailing new AI features for Bing, and after only having…
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#AI#Cloud#Data Drift#development#Fluent Bit#GenAI#Machine Learning#ML#observability#Security#Tensor Lite#TensorFlow
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The Siren, or The Heart of the Matter
Chapter Eleven: The Test, or Clint's No Good Very Bad Day
Pairing: Bucky Barnes x OFC
Warnings: language, eventual smut, fluff, angst, canon-typical violence, implied/referenced SA, described panic attack MINORS DNI. A/N: Hello bbs! I've updated the tags to include some new themes, so be sure to check them out. Today's chapter includes lightly implied SA (no details) and a first-person description of a panic attack. Please read with awareness, and do what you need to take care of yourself <3
Summary: Cleo's tests and training continue, but they prompt some unwanted memories.
Chapter Directory
I enter the lab with a dramatic sigh. “Any chance you nerds can figure out how to get this thing out of my chest? It’s a bitch to find clothes that cover it.”
Stark eyes my sundress-and-cardigan combo (different from the last set - it’s sort of my unofficial uniform). “Not exactly high priority, Glowstick. Besides, I think it’s rather becoming. You should lean into it.”
I narrow my eyes at him and sit down. “Excuse me if I don’t take fashion advice from the man who thinks red and gold are the only colors that exist.”
He scoffs, putting a hand to his chest. “I’m offended. You’ve offended me, Lite Brite. Doc, she’s offended me.”
Bruce doesn’t even look up from his computer screen. “And yet, you persevere.”
“What’s on the agenda today, B? Please tell me I can do whatever it is sitting down - Captain Speedy made me run this morning.” Tony looks horrified, and I nod at him solemnly. “It was exactly as heinous as it sounds.”
Bruce holds up a complex-looking machine. “You can definitely sit for this.”
I huff a sigh of relief. “This is why you two are my favorites.”
Tony looks at the ceiling. “JARVIS, tell me you got that?”
“Recording has been saved, sir.”
I roll my eyes. “So what is that thing and what am I doing with it?”
Bruce looks excited. “Okay, Tony and I have been talking about what happened in the med bay with the glass and the restraints, and the changes to your larynx, tensor tympani, and stapedius. That paired with the story you told us got me thinking about sonic frequencies. I created this machine to measure -”
He pauses to wave to someone behind me. I turn to see Barnes walk in, hands shoved sullenly in his pockets. Since our run, he’s also changed - wearing jeans and a henley that does nothing to disguise the muscles I’d been gaping at earlier. “Hey, Grumps, long time no see,” I say, playing casual.
He jerks his head in response and takes a seat near Bruce. Tony winks at me. “Just in case you go supersonic.” I scowl, but nod. I get it.
Bruce picks up where he left off. “Basically, we think that at least some of your powers lie in the ability to cause sound to vibrate at impossibly high frequencies, which would explain the changes to your voice box and ear muscles - your body adapting so you don’t hurt yourself. I made a device to measure those frequencies so we can test my theory, and I just need you to make some noise.”
“Okay, that’s easy enough. How should I begin?”
He and Tony put on noise-canceling headphones. I notice they don’t offer a pair to Barnes, but I’m not given an opportunity to ask why.
“Start with a scream!” Tony shouts.
I glance nervously at Barnes, then give a thumbs up and open my mouth.
Two hours later, my throat is killing me and Tony has to replace several beakers, a computer screen, and one of the lab’s glass windows. Barnes looks completely unbothered.
“Sorry again, Tony,” I say as I finish putting duct tape over the cracks in the window to keep them from spreading. The tape has little Iron Man logos on it.
He holds up his hands. “No, no, it’s fine. I should have expected this. I’ll see if we can whip up a padded room for next time.”
“As long as you don’t leave me in it.”
He smirks. “Don’t tempt me.”
Bruce doesn’t even seem to notice our conversation. His little machine is plugged into the computer and the results are uploading as we speak. He suddenly raises his head, eyes gleaming.
“Tony, you gotta see this.” Tony gets a manic look as he rushes to read over Bruce’s shoulder.
“See what?” I ask.
Bruce doesn’t look away from the screen. “We measure sonic frequency in hertz. The average glass, for example, would shatter at around 550 hertz.”
I grin. “Like in a cartoon? With opera singers?”
He nods. “Exactly like that, except it’s not just in cartoons - it happens in real life. What can’t happen, however, is metal shattering in the same way. A metal like steel doesn’t even vibrate until you reach a couple thousand hertz. Nothing should be able to shatter it, especially not when the metal is vibranium like the restraints you destroyed in the med bay. The reason it’s so strong is because it’s supposed to literally absorb vibrations - you shouldn’t have been able to do what you did.”
I frown. “But I did.”
“But you did.” Tony says. “The Doc and I thought you must be able to create pretty high frequencies to pull that off, and we were right. You didn’t reach anything close to vibranium levels today, but you’re still off the charts.”
I step closer and try to read over Bruce’s other shoulder, but it’s all gibberish to me. “How high?”
“Cheech and Chong high,” Tony says.
I huff a laugh despite myself and wave my hand. “You know what, don’t bother with numbers - it won’t mean much to me anyway. Just tell me how I control it to keep from hurting people.”
They exchange a look and Tony pats me on the shoulder. “That’s what you’re going to have to figure out.”
“Great,” I say hoarsely, rubbing at my throat. “Not today, though.”
Tony starts leading me to the door of the lab. “No, kid, today, you go drink some tea or something and let the Doc and I talk science.”
I allow myself to be led into the hallway. As Tony shuts the door behind me, I can hear Barnes ask from the corner, “Does this mean what I think it means?”
I don’t wait to hear the answer. I don’t think I want to know.
******
In the afternoon, Natasha finds me on the couch in the common area, dozing off with a cup of tea in my lap.
She sits next to me. “How’s it going?”
I sit up and wipe sleep from my eyes. “Oh, it’s going great. Steve dragged me around City Park at the speed of light this morning, and Tony and Bruce discovered I can break just about anything through the power of scream. They have no clue how to control it, though, so I get to figure it out.”
She quirks an eyebrow. “That all?”
“Sorry, I’ll stop complaining.” I sigh. “How are you?”
“Oh, you know, same old same old. Clint and I just got back from a mission.”
“How’d it go?”
Her smile is near-feral. “I had a great time. Clint, not so much, but he’ll survive.”
I take in the faint traces of blood on her utility suit. “Remind me to never fight against you, Nat.”
She nudges me playfully. “Anyway, I thought we could get started with some training now that we’re back. Wanna meet us in the gym?”
I groan and throw my head against the back of the couch. “But I already did things this morning,” I whine.
She looks at me with faux-seriousness. “Do you think the forces of evil are going to give you a cool-down period?”
I sit up with a grin. “Probably not, but if they don’t I’ll just scream at them.”
Her eyes sharpen. “Cleo, you never know what could happen in a fight. You could get injured, or restrained. They could figure out how to counteract your powers. If you really want to do this, you have to be able to hold your own without all the bells and whistles.”
I sigh, slap my cheeks a few times. “Fuck, okay, I know. You’re right. Let me change, again, and I’ll meet you there.”
When I arrive at the gym, Natasha and Clint have changed out of their utility suits and into regular workout clothes, making me feel more at home in my leggings and tank top. Clint, however, looks a little worse for wear.
His grin is still bright, though. “You came!”
I side-eye him. “I wasn’t under the impression that I had another option.”
He throws an arm around my shoulders. “You don’t, but I’m still glad to see you.” He leads me over to a section of the gym where the floor is covered with mats. Nat is waiting for us near some heavy bags.
“What happened to you?” I ask, gesturing to his eyebrow that is now half as long as its twin.
“Oh, this? I got a little bit set on fire today.”
“How do you -”
He cuts me off with a grimace. “Please don’t ask.”
I nod and pat him on the shoulder. “Well, it looks… good - very edgy.”
He grins.
“She’s lying, you look like an idiot,” Nat says, ignoring his squawk of protest. “To start, Cleo, let’s talk about what kind of experience you have. And keep in mind that ‘none’ is a perfectly fine answer.”
I shift on my feet, looking between the two. “I’ve been doing yoga fairly consistently for a few years. And after I was -” I catch myself. Natasha notices. “After I decided I wanted to,” I say lamely, “I took a few self-defense classes. I liked them, so I took some muay thai classes from one of the instructors. But, you know,” I gesture down at my body. “I’m obviously more pen than sword.”
Natasha looks like she wants to ask about my slip-up, but she doesn’t, and I appreciate it. “All of that will definitely help you,” she says instead. “You’ll have much better balance and core strength going in thanks to yoga, and we may be able to skip past some of the basics if you learned them already from your classes.”
She pulls me over to stand on one of the mats. “I’d like to see what you’re working with. I’m going to have Clint come at you, and you just do your best, okay? He’s moving a little slow today, so you have that working in your favor.”
He shoots her a glare, but gets into position nonetheless.
I swallow, trying not to look nervous. I can do this. This is fine. Clint is safe, and this is fine. I nod. “Okay.”
Clint keeps a carefully neutral expression on his face, and I appreciate that he isn’t trying to look menacing or falsely positive. I balance my weight evenly between both feet and wait for him to come my way.
He rushes forward and I take advantage of my height to duck under his arm. I barely evade his grasp, but he’s quick to spin and grab me from behind. I can’t see him now, I just feel his arms restraining me, and I feel a pounding in my chest. The room around me fades away, and my entire world is simply panic.
I throw my head back, smashing it into his nose, and when he loosens his grip in surprise or pain, I thrust my elbow backward into his stomach. Twisting to face him, I put my hands on his shoulders and throw all of my strength into my knee, bringing it up between his legs. He crumbles with a hoarse “Oh god.”
I back away, letting Natasha amble over to check on him, and while she’s distracted I take some deep breaths.
Not here. Not now. Hold it together, Blake.
When my legs are no longer shaking under my weight, I kneel to join Nat on the floor next to Clint. “Are you okay down here?”
He groans in response, clutching his groin.
Natasha gives his shoulder a hard pat, causing another groan, and stands up, pulling me with her. “Walk it off, buddy. We’ve had worse.” She turns to me. “Not exactly the most refined attack, but impressive nonetheless. I think this is going to come more easily to you than we expected.”
“Thanks,” I say, then shift my gaze to Clint. “Sorry, man. I sort of went on autopilot there.”
“M’fine,” he wheezes. “You did great.”
Nat frowns down at him. “I think we should call it for now. We can start fresh in a day or two, after Clint’s had a chance to rest.”
I nod and the two of us head for the door, leaving Clint on the exercise mat. “Should we help him?”
Natasha waves her hand, not even looking back. “Nah, he’ll be fine.” I shrug and follow her to the hallway. “I’m going out for a drink - want to join me?”
I smile at the offer. “Thank you, but today has been… a lot. I think I should head up to my room and rest so I’ll be fresh for tomorrow.”
She shrugs. “Suit yourself. I’ll text you the bar’s address in case you change your mind.”
I nod, then wait for her to disappear into the elevator before sprinting up the stairs to my room. As soon as I make it inside with the door shut behind me, I collapse to the ground.
Alone now, my breathing starts to race and I can barely get any air into my lungs. Spots start to form at the edges of my vision and I scramble to press my back against the wall, balling up and hugging my knees to my chest.
Someone is sobbing, crying “no, no, no,” but it sounds like it’s coming through a tunnel. Is it me? I slam the heel of my palm into my forehead a few times, trying to snap out of it, but I only manage to give myself a headache as I sob harder. The weight of this day and this week and this month and this entire damned life presses down into me all at once, and I can’t escape it no matter how hard I try. My heart or whatever the hell is in there pounds in my chest, my ears, my fucking fingers, and I am suddenly so, so very tired.
You can do this, Blake - you have to be able to do this.
I close my eyes, press my fingertips to my temples, and try to slow my breathing. Inhale for four, hold for four, exhale for four, hold for four. Repeat.
You have to be able to do this.
I don’t know how much time passes, but my sobbing slows and eventually stops altogether. Breathing a bit more easily now, I allow my body to slump over to the side, finding a fetal position on the floor. My arm comes under my head like a pillow, and before I know it, I’m fast asleep.
******
When I wake, it’s dark outside and my phone tells me it's one in the morning. I slowly sit up, stretching muscles that have grown quite sore between the workouts and sleeping on the hardwood floor. I sigh. I know I won’t be able to go back to sleep for a while yet, so I stand on aching legs and shuffle to my closet to change into some pajama shorts and a baggy t-shirt. I swing by the bathroom to splash some cold water on my face, hoping it will ease some of the redness around my eyes, and then slip on some thick socks.
I try to be silent as I make my way to the common area, and I whisper my order to the coffee maker. Thankfully, it hears me all the same, and I take my chai tea through the door by the bar and out onto the wrap-around terrace. I ease into the first chair I see, and I’m taking a sip when someone clears their throat.
I inhale, choking on the hot drink, and whip my head around to find Barnes sitting a few chairs away. Once I’m able to stop coughing long enough to catch my breath, I exhale shakily and shoot him a small smile. “I guess that’s karma for this morning.”
His laugh is short and surprised, and I’m taken by how much I like the sound of it. “I was trying to get your attention so I didn’t startle you, but I guess I did, anyway.”
I shrug. “It’s fine, I’m the one who intruded.” I make to stand up. “I’ll just head in.”
“No!” he says, both of us looking equally surprised by the speed and volume of his outburst. “I mean, I’m just sitting out here. No need for you to leave.”
I settle back into the chair with a small smile. “Thanks.” I don’t know if it’s the quiet of this barely-morning moment, or if we’re both too exhausted to fight, but there’s a sort of ease between us that has never been there before. “Couldn’t sleep?” I ask.
He looks up at the stars. “At this point, the nights I can sleep seem to be the exception. You?”
I shake my head. “I crashed after training with Nat and Clint, so now my body’s convinced it’s morning, the little fucker.”
His smile is small, but it’s there. “You’ve had quite the day.”
I follow his gaze to the sky. “Yeah, well… I never expected it to be easy, trying to hang with the world’s mightiest heroes.”
He laughs darkly. “Right.”
I peek over at him, but he’s still looking up. “What, not feeling very mighty today, Man Bun?”
I see his eyes roll. “You’re impossible.”
I laugh, and we share a companionable silence for a few beats. I’m almost startled when he speaks again, his voice quiet and low.
“I guess I never really do. Feel mighty, that is.”
I hum. “I’d imagine you’re not alone in that, what with the massive amount of pressure you all face.”
He shakes his head with a humorless chuckle. “No, I’m pretty sure it’s just me. Steve is… he’s always had more guts than he knows what to do with. Ever since we were kids. Stark thinks he’s a gift to us all, you know that. Banner is quieter, maybe, but he’s good at the science thing and he knows it. I don’t think I’ve ever seen Nat falter, and Clint will probably die laughing at his own jokes one day. Thor is… well, you’ll see when you meet him, but he definitely isn’t one for self-doubt.”
Part of me wants to joke this moment away, to tell him that this is the most I’ve ever heard him speak, but I don’t. I don’t want to lose… whatever this is. “I think you’d be surprised by what goes on behind the scenes. Even the most confident people have their moments.”
Barnes glances at me. “Do you?”
My eyes widen. “You think I’m confident?”
He shrugs. “I don’t know, you always seem to get the last word. When you’re yapping about books or all this Atlantis stuff, it’s clear you know how smart you are.”
I turn, sitting criss-cross applesauce, and face him. “If I didn’t know better, Grumps, I’d think you were complimenting me.”
He glares at me, but there’s no heat in it. “I’m just making observations.”
I snort, looking down so he doesn’t see the pink in my cheeks. “Yeah, well, what you’re observing is just someone who has learned how to put up a really good front.”
Barnes sits a bit straighter and looks at me, really looks at me, a depth to his gaze that I haven’t seen before. For a moment, it’s just this - just us, sitting on a balcony with the whole of the city spread out beneath us like a twinkling, velvet blanket. My breath hitches as I realize how very blue his eyes are. Oh. Oh, no.
He opens his mouth to speak.
“Hey, I didn’t know anyone else was up!”
We both jump, Barnes twisting quickly in his chair to face away from me. Knowing he doesn’t want to be seen looking chummy with me stings for a brief, sharp moment, but I shove that down and turn to find the source of the noise.
Clint is walking through the common area, a bandage on his nose drawing attention to the black eye I gave him earlier in the day. At some point since training, he’s apparently tried to draw in the second half of his eyebrow with a brown marker, and it looks… real bad.
As he nears, I realize he isn’t slowing down, and I jump up.
“Clint, wait! The door -”
I’m interrupted by the slam his body makes as it rams full-speed into the clear glass.
“ - is closed…” I finish quietly.
Clint looks up, nose gushing blood, and if I didn’t break it earlier, it’s certainly broken now. “Thanks, Cleo,” he says, voice strained. “I actually discovered that all on my own.”
#fanfiction#fanfic#marvel fanfiction#marvel mcu#mcu#marvel#mcu fanfiction#james buchanan barnes#bucky barnes#bucky barnes fanfiction#enemies to lovers#slow burn#original female character#original superhero character#mental health#ptsd#healing from trauma#cross posted on ao3#the siren#the heart of the matter#steve rogers is a good bro#implied sa#canon typical violence#natasha romanov is a good bro#clint barton is a good bro#bucky barnes is bad at feelings#POV original female character#POV bucky barnes
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GeForce RTXâ„¢ 3060 Ti GAMING OC 8G (rev. 2.0) FEATURES NVIDIA Ampere Streaming Multiprocessors 2nd Generation RT Cores 3rd Generation Tensor Cores Powered by GeForce RTXâ„¢ 3060 Ti Integrated with 8GB GDDR6 256-bit memory interface WINDFORCE 3X Cooling System with alternate spinning fans RGB Fusion 2.0 Protection metal back plate LHR (Lite Hash Rate) version CORE CLOCK 1740 MHz (Reference Card: 1665 MHz) Specification Graphics Processing GeForce RTXâ„¢ 3060 Ti Core Clock 1740 MHz (Reference Card: 1665 MHz) CUDA® Cores 4864 Memory Clock 14000 MHz Memory Size 8‎ GB Memory Type GDDR6 Memory Bus 2‎56 bit Memory Bandwidth (GB/sec) 448 GB/s Card Bus PCI-E 4.0 x 16 Digital max resolution 7680×4320 Multi-view 4‎ Card size L=282 W=117 H=41 mm PCB Form ATX DirectX 12 Ultimate OpenGL 4‎.6 Recommended PSU 600W Power Connectors 8 Pin*1 Output DisplayPort 1.4a *2 HDMI 2.1 *2 SLI Support N/A Accessories Quick guide Warranty 3 Years Note* Price, feature and specifications are subject to change without notice.
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camping gear reviews mo one asked for
-Nemo tensor pad is comfy as HELL and I wasn't cold against the ground like I would be with just my therapist z lite
-Kelty mistral 40 is NOT warm enough for even an upper 40s night
#first time using the nemo pad#not the first time w the kelty bag but first time on a cooler nighg#its a good summer early fall bag#not now#oh well#my 30 degree bag is a rectangular cotton bag from fifteen years ago i dont wanna buy a new one yet bc money but ill pfobs get a big agnes
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Google 中階新機 Pixel 6a 渲染圖曝光!搭載 6.2 吋螢幕、將取消耳機孔
Google 中階新機 Pixel 6a 渲染圖曝光!搭載 6.2 吋螢幕、將取消耳機孔
Google 先前才推出 Pixel 6 和 Pixel 6 Pro 旗艦手機,近日有消息傳出 Pixel 6 系列將推出中階新機「Pixel 6a」。國外知名爆料者 Steve Hemmerstoffer(@OnLeaks)與 91Mobile 合作率先披露這款中階新機的渲染圖,據稱搭載 6.2 吋螢幕、指紋下指紋辨識,最大的變化是取消了耳機孔。 (more…)

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How About Lighter Pixel 6
Google officially unveiled the Pixel 6 and Pixel 6 Pro this month, after teasing the series earlier this year. According to reports, the California-based tech giant is working on a more cheap version of the smartphone that will be part of the new Pixel 6 series.
Leaked Pixel 6a renders earlier this week revealed that the Pixel 6a will have the same look as the Pixel 6 and Pixel 6 Pro. This suggests that the Pixel 6a will have the same camera band that runs across the back of the device and contains the camera lenses, much to the delight of enthusiasts.
Specifications
The SONY IMX363 sensor, which has been used in all Google Pixel devices from the Pixel 3 through the Pixel 5a, is rumored to be used in the Pixel 6A. The Samsung GN1 sensor, which has a resolution of 50 megapixels, has been used in the current Google Pixel 6 series. Because the GN1 is larger than the IMX363, it captures more light.
In addition, the front of the phone has an 8MP IMX355 sensor for selfies and video calls. The smartphone will almost certainly come with a large 4800 mAh battery. In terms of size, the Pixel 6a is expected to be smaller than the Pixel 6, measuring 152.2 x 71.8 x 8.7mm.
According to the Pixel 6a renders, the phone would have a 6.2-inch flat AMOLED display with a 2400 x 1080 pixel FHD+ resolution. It's also expected to have a hole-punch cutout in the center, as well as a fingerprint sensor built in the display.
On the sides and bottom, the smartphone is said to have a USB Type-C port, two mics, speaker grill, volume rocker, SIM card slot, and power key. Internal storage on the smartphone will be 128 GB.
The renders also use a two-tone color scheme. The volume and power buttons are located on the right edge. The SIM card slot is located on the left edge of the device. A USB Type-C port, two speaker grilles, and a microphone are also included on the bottom. Antenna cutouts can be seen on all four edges, indicating that the phone will be enclosed in a metal frame.
Tensor Chipset
According to the newest report, the Google Pixel 6a smartphone would most likely be powered by Google's Tensor GS101 processor. The Pixel 6 and Pixel 6 Pro smartphones, as you may recall, share the same chipset. With this move, it's safe to presume that some of the Pixel 6 and 6 Pro's capabilities, such as Magic Eraser and Google Assistant voice typing, will make their way to the Pixel 6a.
The Pixel 6a was previously reported to be powered by Qualcomm's Tensor Lite or Snapdragon SoC.
Google has guaranteed up to five years of software updates for the Pixel 6 and 6 Pro, which are made possible by domestic chips.

The Pixel 6a will be driven by the same Tensor GS101 chipset as the Pixel 6 and 6 Pro, which means it will include all of the capabilities available only on the Tensor-powered Pixel 6 and 6 Pro, such as on-device Live Translation, Google Assistant voice typing, and more.
By extension, it should receive any additional Tensor phone-specific advances in future Android versions. Android 12 OS is expected to arrive pre-installed on the Pixel 6a.
The Google Pixel 5a was dispatched on seventeenth August this year. Other than that, the Pixel 4a likewise showed up in the long stretch of August. Remembering the past dispatch timetables, we can expect the Pixel 6a to show up during a similar time one year from now.
Right now, there's no data about the accessibility of this gadget in India. Google dispatched Pixel 5a just in the US and Japan. Notwithstanding, it could almost certainly dispatch in India same as Pixel 3a and Pixel 4a - LOL.
The official pricing and availability details of the Google Pixel 6a will be revealed at the time of the launch early next year. However, we expect it to be priced lower than the Pixel 6, which starts at $599 (approx. Rs. 45,000) in the US. So it's actually a great move and at the same time can't assure the built quality of the phone. Tha chances of getting this phone to all countries in the world is high, so there will be so many hands on videos and all. And let's see is it worth or not. We can't identify a great change in the design but still there are lot going on like bezel less screes with smaller camera visor. I'm really looking towards this phone. If this one outperforms the phones of the same price range, market of this phone is going to rock. And this is - Edwin K Jayesh.
#google pixel 6#new technology#tech#tech updates#technology#android#new tech#latest technology#futurism#budget#budget phones#google tensor#google pixel 6 pro price usd 599 launch sale date october 28 specifications features tensor soc android 12 pixel 6 price#tensor explained#google pixel 6 pro launch date september 13 tipped tensor soc teased specifications pixel 6#tensorate#google phones#googleads#google pixel#pixel 6 price#pixel 6 leak#pixel 6 india#pixel 6 phantom calling#pixel 6 expected features#pixel 6a#tech news#news#technews#technology news#thoughts
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TensorFlow

Let's take a sec here to discuss TensorFlow. It hasn't even been 2 years since Google has open sourced their deep learning library and it's seems to be the most widely used library out there.
With the open sourcing of Sonnet, the new distributed TensorFlow, and the upcoming release of TensorFlow Lite, a specific library for mobile, that domination is set to last. So this week MIT Tech Review wonders: why is Google making all of these tools available for free? Because they're betting on hardware. Sure TensorFlow is accelerating the deep learning research field, and leading to new innovations that Google can benefit from. But these advances also mean that companies need more and more computing resources to run these sophisticated models, and TensorFlow works really well with... Google's Cloud Platform! So Google is using TensorFlow to boost its hardware strategy and go from 3rd to 1st, especially now that the platform is powered by... Tensor Processing Units!
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Angst vor der KI berechtigt?
Die KI wird uns einmal kontrollieren oder gar vernichten. Sie lauert überall und spinoniert uns aus. Sie ist uns überlegen. So wird die Aangst geschürt. Doch ist das gerechtfertigt?
Es gibt ganz aktuell einen Personenkreis der ganz sicher Angst vor der Künstlichen Intelligenz (KI) haben muss. Und zwar vor der KI der Konkurrenz. Jedenfalls scheint es gerade der Google Führung mit seiner KI so zu gehen. Und die Angst vor OpenAI ChatGPT ist dort auch gerechtfertigt. Denn plötzlich gibt es Mitbewerber die auch ein richtig ernstzunehmendes Produkt auf den Markt gebracht haben.
Nutzer dagegen die Googles Assitenten oder ChatGPT für sich endeckt haben brauchen jedenfalls keine so rechte Angst zu haben. Allerdings ist eine KI nur etwas sinnvolles, wenn es hilfreich ist. Und da hat Google plötzlich auch ein Problem. Deren KI Unterstützung beispielsweise für den Google Assitenten auf Smartphones oder Homegeräten , wie Nesthubs, läuft derzeit nicht so richtig. Betrachten wir später noch warum das wohl so ist.
Nach wie vor ist der Begriff KI erstmal ein reiner Modebegriff. Zudem ist "KI" nicht gleich KI. In der oberen Liga spielt aber nun OpenAI ChatGPT mit und auch Googles KI (jedenfalls die alte bisherige). Aber aus irgendweinem Grund verzeiht man derzeit ChatGPT Fehler oder Defizite, während man bei Google überhaupt nicht amüsiert ist, wenn es mal nicht läuft. ChatGPT tut sich oft schwer mit Übersetzungen. Wird eine Frage in Deutsch eingegeben kann es passieren, dass die Antwort in Englisch ausgegeben wird.
Und auch bei der Überprüfung und der Erstellung von Code macht ChatGPT immer wieder Fehler. Auf die Frage hin, ob der erzeugte Code nicht korrekt sei, antwortet ChatGPT auch schon mal mit Zustimmung. Bietet dann aber ggf. auch eine Korrektur an bzw. ist in der Lage auf Nachfrage den korrekten Inhalt auszugeben. Offenbar verzeihen die Nutzer das, sofern sie es überhaupt erkennen. Google hat aber stets eine große Lippe riskiert, große Ankündigungen gemacht und auch lange Zeit einen guten Dienst geliefert. Auch wenn Nutzer eine stetige Weiterentwicklung erwartet haben und dies nicht so von Google umgesetzt wurde.
Googles Assitent mit KI Unterstützung sollte einst ein nützlicher Begleiter durch den Alltag werden, ein Freund/eine Freundin, die einem mit rat und Tat zur seite steht und dabei hilft seinen Tagesablauf zu organisieren oder sich ein einer fremden Stadt leicht zurecht zu finden. Heute ist Google selbst entäuscht, dass es sich nicht so entwickelt hat und man dann nicht auch die ein oder andere Werbung damit vermarkten konnte. Doch Google allein hat daran Schuld und das fängt schon mit dem Thema Persönlichkeit an. Mit "okay oder hey Google" würde man eine(n) Freund(in) eben nicht ansprechen.
ChatGPT freilich ist im Kern etwas ganz anderes, hat aber enormes Potential. Heute kann ChatGPT vieles garnicht das aber ChatGPT oder Alexa oder Siri leisten kann. Doch die Angst ist berechtigt, denn ChatGPT könnte das in naher Zukunft gelernt haben. An Perrsönlichkeit fehlt es ChatGPT allerdings auch gänzlich. Googles KI hat auch schon in der vergangenheit herausragendes geleistet.Beispielsweise bei der Arbeit für die NASA oder ESA, wie bei der Entdeckung von Planeten oder Sernen. Google hat alles in der Hand was erforderlich wäre den großen Erfolg herzustellen inklusive Quantencomputer-Technologie.
Allerdings schafft man es nicht bei Google die Dinge zu verbinden und zusammen in Einklang zu bekommen. Es ist vielmehr wie ein großes Orchester bei dem alle Musiker quer durcheinander spielen. Und ja, es liegt wie in diesem Vergleich in erster Linie beim Dirigenten. Googles CEO schafft es nicht für die Harmonie zu sorgen die aus dem wilden getröte eine Melodie werden lässt. Ein anderer Aspekt ist die Einfachheit der Anwendung. Das zeigt sich beispielsweise an Googles Tensor FLow, das selbst in der Lite Version noch so komplex ist, dass es tiefe Kenntnisse benötigt darauf ein lauffähiges System beispielsweise zur Objekterkennung zu machen.
Wenn es läuft, läuft es zwar super, doch ChatGPT zeigt uns wie einfach es sein kann und wie leicht es von im Prinzip jeder(m) zu nutzen ist. Auch wenn die Frage derzeit noch offen ist, wie intelligent ChatGPT tatsächlich ist? Bei Google dürfte die große und völlig wirre Entlassungswelle dafür gesorgt haben, dass nun ordentlich Sand ins Getriebe geraten ist. Das zeigt allerdings, wie sehr die "KI" im Hintergrund und in Wirklichkeit noch stark von Menschenhand unterstützt wurde.
In allen meinen bisherigen Beiträgen zum Thema KI habe ich immer wieder erläutert was KI eigentlich ist und wie man es nützlich und hilfreich einsetzen kann. Wer von der Pike auf versteht, wie KI überhaupt funktioniert, der wird schnell erkennen, dass die Bezeichnung Künstliche Intelligenz bereits ein viel zu hoch gegriffener Begriff ist. Und wer das wirklich versteht, wie KI programmiert wird und funktioniert, der wiess genau, jegliche Angst was diese Technologie angeht ist unbegründet. Angst oder eher ein gesundes Mistrauen müssen wir nur vor den Menschen entwickeln, die im Hintergrund an der Technologie wirken und das was sie leisten kann mißbrauchen.

Wer uns Angst schürt vor der KI verwischt das Bild genauso wie es der Begriff Künstliche Intelligenz tut. Die Technologie freilich ist uns schon überlegen, aber einfach nur deshalb schon, weil uns in bestimmer Hinsicht Computer einfach überlegen sind. Wäre es nicht so, dann gäbe es keine Computer. Computer können einfach im Kern nur eines. Schneller rechnen. Das was der Name auch sagt. In der Beziehung hat man den richtigen Begriff gewählt. Computer kommt von compute, dem englischen Wort für berechnen!
Google muss nun dinglichst den Beweis erbringen die Sache wieder in den Griff gebracht zu haben. Wenigstens soweit, wie es noch vor 2-3 Jahren der Fall war. Heute ist der Google Assitent schlechter als damals. Und die Mitbewerber wie Microsofts ChatGPT müssen erstmal beweisen mehr zu können und das auch genaus easy wie das was wir heute schon sehen. Die Gefahr ist und bleibt der Faktor Mensch. Doch ohne den Faktor Mensch läuft es auch schlicht nicht und wird es auch niemals laufen, selbst wenn Computer in Zunkunft die komplexesten Rechenoperationen ausfürhen können, wie es heute so noch nicht der Fall ist. Doch in engschränkter Form kann dieses Stück Software mit leistungsstarker Hardware auch einfach nur nützlich sein und das ganz ohne jegliches Risiko für uns, dass uns eine KI eines Tages quasi überfordert, übervorteilt oder gezielt angreift.
Als Entwickler und Programmierer von "KI"- Software bzw. Lösungen, also als jemand der sich tiefgreifend mit dieser Technologie auskennt, bin ich der festen Überzeugung, dass auch in ferner Zukunft "KI" nicht dem Gefahren-Szenarien entsprechen kann, welche man uns heute so polemisch zeichnet. Da scheint es mir eher so, als wollten sich bestimmte Personen selbst inszinieren. Wie man aktuell im Fall von Google erkennen muss, kann "KI" schnell ihren Zauber verlieren, was zeigt das es nicht so trival ist ohne das Menschen dahinterstehen, die ihr Handwerk beherrschen und auch in der Lage sind viel Geld und Arbeit zu investieren. Und das fortlaufend.
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Houston Texas Appliance Parts: Ambiq Launches AI SDK for Ultra-Low Power MCUs
Houston Texas Appliance Parts
Ambiq Launches AI SDK for Ultra-Low Power MCUs
by Houston Texas Appliance Parts on Friday 17 February 2023 06:21 PM UTC-05
Ambiq Micro is the latest microcontroller maker to build its own AI-focused software development kit (SDK). The combination of Ambiq's Neural Spot AI SDK with its ultra-low power sub-threshold and near-threshold technologies will enable efficient inference: Ambiq's figures have keyword spotting at less than a milliJoule (mJ). This efficiency will suit IoT devices, especially wearables, which are already a big market for the company.
Artificial intelligence applications on Cortex-M devices require specialized software stacks over and above what's available with open-source frameworks, such as TensorFlow Lite for Microcontrollers, since there are so many challenges involved in fine-tuning performance, Carlos Morales, Ambiq Micro's VP of AI, told EE Times.
"[Arm's CMSIS-NN] has optimized kernels that use [Arm's cores] really well, but getting the data in and moving it to the next layer means there are a lot of transformations that happen, and [Arm] has to be general about that," he said. "If you carefully design your datapath, you don't have to do those transformations, you can just rip out the middle of those things and just call them one by one–and that gets very efficient."
Neural Spot's libraries are based on an optimized version of CMSIS-NN, with added features for fast Fourier transforms (FFTs), among others. Morales points out that, unlike cloud AI, embedded AI is focused in large part on about a dozen classes of models, so it's an easier subset to optimize for.
"A voice-activity detector running in TensorFlow would be terrible, you'd just be spending all your time loading tensors back and forth. But you write it [at a lower level], and suddenly you're doing it in two or three milliseconds, which is great," he said.
Neural Spot includes a model zoo. (Source: Ambiq Micro)
Further headaches include mismatches between Python and the C/C++ code that runs on embedded devices.
"We created a set of tools that let you treat your embedded device as if it were part of Python," Morales said. "We use remote procedure calls from inside your Python model to execute it on the eval board."
Remote procedure calls enable easy comparison of, for example, Python's feature extractor or Mel spectrogram calculator to what's running on the eval board (a Mel spectrogram is a representation of audio data used in audio processing).
Neural Spot includes an open-source model zoo with health (ECG classifier) and speech detection/processing examples. Speech processing includes models for voice activity detection, keyword detection and speech to intent. Ambiq is working on AI models for speech enhancement (background noise cancellation) and computer vision models, including person detection and object classification.
The Neural Spot AI SDK is built on Ambiq Suite—Ambiq's libraries for controlling power and memory configurations, communicating with sensors and managing SoC peripherals. Neural Spot simplifies these configuration options using presets for AI developers who may not be familiar with sub-threshold hardware.
Ambiq's Neural Spot SDK targets specialised AI developers, domain experts and system integrators. (Source: Ambiq Micro)
The new SDK is designed for all fourth-generation Apollo chips, but the Apollo4 Plus SoC is particularly well suited for always-on AI applications, Morales said. It features an Arm Cortex-M4 core with 2 MB embedded MRAM, and 2.75 MB SRAM. There's also a graphics accelerator, two MIPI lanes, and some family members have Bluetooth Low Energy radios.
Current consumption for the Apollo4 Plus is as low as 4 μA/MHz when executing from MRAM, and there are advanced deep sleep modes. With such low power consumption, he said, "suddenly you can do a lot more things," when running AI in resource-constrained environment.
"There are a lot of compromises you have to make, for example, reducing precision, or making shallower models because of latency or power requirements…all that stuff you're stripping out because you want to stay in the power budget, you can put back in," Morales added.
He also pointed out that while AI acceleration is important to saving power, other parts of the data pipeline are just as important, including sensing data, analog-to-digital conversion and moving data around memory: Collecting audio data, for example, might take several seconds while inference is complete in tens of milliseconds. Data collection might thus account for the majority of the power usage.
Ambiq compared internal power measurements for the Apollo4 Plus running benchmarks from MLPerf Tiny, with published results for other microcontrollers. Ambiq's figures for the Apollo4 Plus have the energy consumption (µJ/inference) at roughly 8 to 13× lower, compared with another Cortex-M4 device. The keyword-spotting inference benchmark used less than a milliJoule, and person detection used less than 2 mJ.
Ambiq's internal energy results for its Cortex-M4-equipped Apollo 4 Plus series, versus competing microcontrollers (competing results taken from MLPerf Tiny). (Source: Ambiq Micro)
Sub-threshold operation
Ambiq achieves such low power operation using sub-threshold and near-threshold operation. While big power savings are possible using sub-threshold voltages, it is not straightforward, Scott Hanson, founder and CTO of Ambiq Micro, told EE Times in an earlier interview.
"At its surface, sub-threshold and near-threshold operation are quite simple: You're just dialing down the voltage. Seemingly, anybody could do that, but it turns out that it's, in fact, quite difficult," he said. "When you turn down voltage into the near-threshold or sub-threshold range, you end up with huge sensitivities to temperature, to process, to voltage, and so it becomes very difficult to deploy conventional design techniques."
Ambiq's secret sauce is in how the company mitigates for these variables.
"When faced with temperature and process variations, it's critical to center a supply voltage at a value that can compensate for those temperature and process fluctuations, so we have a unique way of regulating voltage across process and temperature that that allows subthreshold and near-threshold operations to be reliable and robust," Hanson said.
Ambiq's technology platform, Spot, uses "50 or 100" design techniques to deal with this, with techniques spanning analog, digital and memory design. Most of these techniques are at the circuit level; many classic building block circuits, including examples like the bandgap reference circuit, don't work when running in subthreshold mode and require re-engineering by Ambiq. Other challenges include how to distribute the clock and how to assign voltage domains.
Running at lower voltage does come with a tradeoff: Designs have to run slower. That's why, Hanson said, Ambiq started by applying its sub-threshold ideas in the embedded space. Twenty-four or 48 MHz was initially sufficient for ultra-low power wearables, where Ambiq holds about half the market share today. However, customers quickly increased their clock speed requirements. Ambiq achieved this by introducing more dynamic voltage and frequency scaling (DVFS) operating points—customers run 99% of the time in sub-threshold or near-threshold mode, but when they need a boost in compute, they can increase the voltage to run at higher frequency.
"Over time, you'll see more DVFS operating points from Ambiq because we want to support really low voltages, medium voltages and high voltages," Hanson said.
Other items on the technology roadmap for Ambiq include more advanced process nodes, architectural enhancements that increase performance without raising voltage and dedicated MAC accelerators (for both AI inference and filter acceleration).
The post Ambiq Launches AI SDK for Ultra-Low Power MCUs appeared first on EE Times.

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Hammond Louisiana Ukiah California Dike Iowa Maryville Missouri Secretary Maryland Winchester Illinois Kinsey Alabama Edmundson Missouri Stevens Village Alaska Haymarket Virginia Newington Virginia Edwards Missouri https://unitedstatesvirtualmail.blogspot.com/2023/02/houston-texas-appliance-parts-ambiq.html February 17, 2023 at 08:21PM Gruver Texas Glens Fork Kentucky Fork South Carolina Astoria Oregon Lac La Belle Wisconsin Pomfret Center Connecticut Nason Illinois Roan Mountain Tennessee https://coloradovirtualmail.blogspot.com/2023/02/houston-texas-appliance-parts-ambiq.html February 17, 2023 at 09:41PM from https://youtu.be/GuUaaPaTlyY February 17, 2023 at 10:47PM
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Annoucements in TensorFlow Dev Summit 2019
TensorFlow Dev Summit is an annual conference held by Google collecting a bunch of topics around TensorFlow framework. I usually watch the conference via live stream on YouTube. But fortunately, I got a chance to attend the conference this time. There is a sear number of exciting announcements in the conference so I list up the interesting items in this article.
Table Of Contents
- TensorFlow 2.0 - TensorFlow Lite - TensorFlow.js 1.0 - Others
TensorFlow 2.0
TensorFlow 2.0 alpha has just been released today. The biggest change introduced by the version is the simplified API by Keras and default eager mode. It was a little hard to write the complicated control flow as a TensorFlow graph in the past. You need to be familiar with tf.where or tf.select in order to write the conditions. That makes programmers have a difficult time to write a code executing what they want to.
From 2.0, you can use tf.function to write a complex control flow as TensorFlow graph. tf.function is just an annotation to be attached to the Python function. TensorFlow compiler automatically resolves the dependency on the Tensor and create a graph.
@tf.function def f(x): while tf.reduce_sum(x) > 1: x = tf.tanh(x) return x f(tf.ranfom.uniform([10]))
In the above example, function f will be a TensorFlow graph because it depends on the given tensors, a and b even we don’t define the ops for while control flow. That makes the development far easier because we can write the control flow of TensorFlow graph as we write the Python code. It is achieved by overloading some method like __if__ or __while__ under the hood. It also the necessity of tf.control_dependencies which was needed to update multiple variables properly. It contributes to reducing the complexity of graph construction too.
So overall you do not need to write the following things anymore.
tf.session.run
tf.control_dependencies
tf.global_variables_initializer
tf.cond, tf.while_loop
Please the here to look into more detail about TensorFlow 2.0 and Autograph feature.
youtube
Improvements of TensorFlow Lite
One amazing thing I found in the conference was the TensorFlow project puts a significant amount of resource to the edge computing which is happening on the mobile device, wearable, browsers, and smart speakers. TensorFlow Lite is a symbolic product to accelerate the ML in Edge device. The ML in edge device is thought to be required by the following reasons.
Fast Interactive Application
Data Privacy
By running the ML application on the client side, we can eliminate the overhead of sending the data between server and client. It is beneficial especially in the environment where we have a limited amount of network resource or bandwidth. It also protects data privacy by avoiding to send data to the server. So the demand for the ML in edge device is growing more and more.
TensorFlow Lite is a project to create a lightweight TensorFlow model running in the edge device. By delegating the processing to Edge TPU, they achieve 62x faster inference time at maximum combining with quantization.
They have also a super tiny model that is only tens of kilobytes so that we can put it into the microcontrollers. Sparkfun is an edge demo board powered by TensorFlow. Exciting thing is that we could get the board as a gift of attending the conference.
This kind of gift always makes me fun because we can try to use what we’ve learned. So I’m going to try the tiny model running on the microcontroller later. In my opinion, the evolution of the ML in the edge device is the most interesting field. Please take look into the video for more detail around TensorFlow Lite.
youtube
TensorFlow.js 1.0
The reason why I’m involving with TensorFlow project is this. I keep contributing to TensorFlow.js since it has been published. (It was named deeplearn.js initially) It gave me an opportunity to write a book, “Deep Learning in the Browser”. Evolving the project I’m involved game me a great joy.
Now it has been released as 1.0 reaching a kind of milestone. In addition to core components, there are multiple supporting libraries around TensorFlow.js.
tfjs-layers
tfjs-data
tfjs-vis
Those libraries enable us to have a similar experience using TensorFlow core libraries. It must accelerate the application development in the client side supporting JavaScript runtime. Actually, TensorFlow.js project will support various kind of platform such as Electron and React Native so that we can use the same application code in many platforms.
Here is another interesting slide. The performance of TensorFlow.js in Chrome browser is becoming faster since its initial release. Therefore, TensorFlow.js can be said to be a production-ready platform that supports client-side ML application sufficiently.
I also had a chance to talk with TensorFlow.js team members about the enhancements and development plan happening in near future. At the same time, I’m looking forward to these kinds of things, I want to contribute these things to make TensorFlow.js more powerful. Here is the video about the announcement of TensorFlow.js 1.0.
youtube
Others
Last but not least, I’m going to introduce some other changes I found at the conference.
Released tf-agents to accelerate reinforcement learning by using TensorFlow
Tensorboard can be embedded in Google Colab and Jupyter notebook
The new conference TensorFlow World will be held Oct 28-31
Two new online courses are available to learn TensorFlow at Cousera and Udacity
The full videos of presentation introduced in the conference are available on YouTube. Please take a look if you want to know further.
Thanks!
source http://www.lewuathe.com/annoucements-in-tensorflow-dev-summit-2019.html
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GIGABYTE AORUS GeForce RTX 3070 Master 8G (REV2.0) Graphics Card, 3X WINDFORCE Fans, 8GB 256-bit GDDR6, GV-N3070AORUS M-8GD
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GIGABYTE RTX 3060 Ti GPU is made for mid-range gaming at Amazon low of $406
Amazon is offering the GIGABYTE RTX 3060 Ti 8GB GPU for $405.99 shipped. Down from its normal going rate of nearly $450 lately, today’s deal marks a return to its all-time low at Amazon. Ready to upgrade your gaming setup, the RTX 3060 Ti is perfect for 1440p gaming. You’ll find 8GB of GDDR6 memory here as well as NVIDIA’s 2nd generation RT and 3rd generation Tensor cores. All of this combines to deliver ample power to play even the latest AAA titles at 1080p or 1440p. Plus, if you’re willing to sacrifice FPS and some quality settings then you can even play at 4K in certain games. Keep reading for more. If you’re in the middle of building a PC right now, then be sure to have plenty of RAM on hand. While 8GB might have been enough in year’s past, you should at least have 16GB available to use in your system, if not more. So, with your savings from today’s lead deal, we recommend grabbing TeamGroup’s 3200MHz 16GB RAM kit that can be picked up for $45 at Amazon. Further upgrade your setup with JBL’s Quantum RGB USB mic that’s on sale for $38 right now. This massive 62% discount marks a new all-time low that we’ve tracked from its normal $100 going rate. You also won’t want to miss out on our PC gaming guide which has a slew of other ways to save, including discounts on AOC’s 34-inch Curved 1440p 144Hz gaming monitor at $312. GIGABYTE RTX 3060 Ti GPU features: NVIDIA Ampere Streaming Multiprocessors 2nd Generation RT Cores 3rd Generation Tensor Cores Powered by GeForce RTX 3060 Ti Integrated with 8GB GDDR6 256-bit memory interface WINDFORCE 3X Cooling System with alternate spinning fans RGB Fusion 2.0 Protection metal back plate 2x DisplayPort, 2x HDMI LHR (Lite Hash Rate) version Core Clock: 1740MHz. Get the ultimate gaming performance with GIGABYTE RTX 3060 Ti (Rev 2.0) Graphics Cards. Powered by NVIDIA’s 2nd gen RTX architecture and refined with WINDFORCE cooling technology, the GeForce RTX 3060 Ti GAMING OC 8G (Rev 2.0) brings stunning visuals, amazingly fast frame rates, and AI acceleration to games and creative applications with its enhanced RT Cores and Tensor Cores. Subscribe to the 9to5Toys YouTube Channel for all of the latest videos, reviews, and more! Source link Originally published at Melbourne News Vine
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Should Google make a Tensor Lite processor for its Pixel A series?
Should Google make a Tensor Lite processor for its Pixel A series?
Robert Triggs / Android Authority Google debuted the Tensor in the Pixel 6 series late last year — a semi-custom high-end chipset with Google’s special hardware sauce slathered on top of it. Although the Pixel 6 series didn’t quite boast best-in-class flagship performance, it still offered plenty of power and impressive machine learning capabilities. Now, the mid-range Pixel 6a is also using…

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Google Pixel 6a with 4410mAh Battery, 6GB RAM Available on Sale in India!
Google Pixel 6a with 4410mAh Battery, 6GB RAM Available on Sale in India!
Google Pixel 6a and Pixel Buds Pro have been launched in India on Thursday. The smartphone is now available for pre-order in India. Google Pixel 6a which is the lite version of Google Pixel 6 and Google Pixel 6 Pro were introduced during Google’s I/O event in May along with Pixel Watch and Google Pixel Buds Pro. This smartphone has a 6.1 inch display. It works on the company’s in-house Tensor…

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