#Data Scientist Training Program

[brillica-design]

What Are AI Agents? How They Work & How to Use Them Effectively

Welcome to the age of intelligent automation! You’ve probably heard the buzz around AI agents, but what exactly are they, and why should you care? Whether you’re a tech geek, a business leader, or just AI-curious, understanding AI agents is your ticket to staying ahead in a rapidly changing digital world.

Read more — What Are AI Agents? How They Work & How to Use Them Effectively

[naresh1technologies]

📣 New Python Batch Alert!

🔗 Register here: https://tr.ee/Chl7PS

🧠 Learn: Python, Django, HTML, JS, Bootstrap, Angular, Database

🗓️ Start Date: April 9th, 2025 🕢 Time: 7:30 AM IST 👨‍🏫 Trainer: Mr. Mahesh 💻 Mode: Classroom & Online

📍 KPHB (Beside Metro Station) 🌐 Webex ID: 2513 181 6287 | Pass: 112233

. #PythonTraining #FullStackDeveloper #CodingBootcamp #NareshIT #DevJourney

https://tr.ee/Chl7PS

[krupa192]

The Future of Autonomous Vehicles: How Deep Learning is Revolutionizing the Road 🚗🤖 

The world of transportation is on the brink of an extraordinary transformation. Self-driving cars, once the stuff of futuristic dreams, are now being tested and rolled out in cities around the globe. At the core of this exciting evolution lies deep learning — a dynamic branch of artificial intelligence that enables machines to learn, adapt, and make complex decisions. In this article, we’ll dive into what the future holds for autonomous vehicles, the crucial role deep learning plays, and how you can become part of this rapidly growing field with the help of the Data Science Course Thane. 

How Deep Learning Powers Self-Driving Cars 

Autonomous vehicles depend on a combination of advanced technologies: sensors, cameras, radar systems, and real-time data processing. But what truly allows these vehicles to “think” is deep learning. By processing vast amounts of data, deep learning models enable cars to detect obstacles, interpret traffic signals, recognize pedestrians, and predict other drivers’ actions. 

Convolutional Neural Networks (CNNs) are at the forefront of visual recognition, helping cars identify road signs and hazards. Meanwhile, models like Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks assist in predicting movement patterns and planning safe paths. 

Companies like Waymo, Tesla, and Cruise are constantly pushing boundaries, using deep learning algorithms to refine driving behavior through millions of miles of data. This ongoing learning process makes self-driving cars safer, smarter, and increasingly reliable. 

Innovations Shaping the Future of Driverless Cars 

Smarter Perception Technologies: New breakthroughs in sensor technology, LiDAR, and 3D mapping are helping autonomous vehicles get a more accurate understanding of their environment. 

On-Board Intelligence (Edge Computing): Instead of relying solely on cloud-based servers, vehicles are starting to process large datasets on-board, allowing for faster reaction times in critical situations. 

Learning Through Simulation: Reinforcement learning enables cars to learn from simulated environments, allowing them to develop better decision-making skills before being exposed to real-world scenarios. 

V2X Connectivity: Future vehicles will communicate with infrastructure, other cars, and traffic systems in real-time, ensuring smoother and more coordinated traffic flow. 

Transparent AI (Explainable AI): As AI makes decisions on the road, there’s growing demand for explanations behind these choices. Explainable AI will build trust and help developers troubleshoot and enhance safety. 

Roadblocks That Need Solving 

As promising as the technology is, a few hurdles still need to be overcome: 

Complex Ethical Decisions: AVs will face tough moral dilemmas, and developers need to embed ethical reasoning into algorithms. 

Security Concerns: Self-driving cars need robust cybersecurity systems to prevent potential hacking threats. 

Regulatory Policies: Laws around AV testing and deployment are still evolving and vary from country to country. 

Public Perception: Winning over public trust through education, testing, and transparency is essential for mass adoption. 

Careers in the Autonomous Vehicle Revolution 

The fast-paced development of driverless technology is creating exciting career opportunities for data scientists, AI engineers, and machine learning specialists. Experts with skills in deep learning, computer vision, and predictive analytics are in particularly high demand. 

Why Choose the Boston Institute of Analytics’ Data Science Program in Thane? 

The Boston Institute of Analytics (BIA) is well-regarded for offering comprehensive, industry-ready programs. Their Data Science Course Thane is designed to help learners master key technologies, including: 

AI and Deep Learning: Get hands-on training with CNNs, RNNs, GANs, and more. 

Big Data Handling: Learn techniques to work with massive datasets used for autonomous vehicle training. 

Computer Vision: Understand how machines interpret images and surroundings, a cornerstone of AV technology. 

Programming Proficiency: Develop strong coding skills in Python, along with experience in frameworks like TensorFlow, PyTorch, and Keras. 

Live Projects: Work on real-life case studies and simulations to gain practical insights. 

Globally Recognized Certification: Add an internationally recognized credential to your resume. 

What’s Next for Autonomous Vehicles? 

As deep learning techniques advance, fully autonomous vehicles will become commonplace, drastically reducing accidents, traffic congestion, and emissions. We can expect smarter traffic management systems, eco-friendly transportation options, and more efficient urban mobility. 

Final Thoughts 

The self-driving revolution is gaining momentum, with deep learning at the center of this innovation. Whether it’s safer roads or smarter cities, autonomous vehicles are set to redefine how we travel. 

The best way to become part of this exciting future is by building expertise through quality education. Start your journey today with the Data Science Course and position yourself to make a meaningful impact in the field of AI and autonomous vehicles. 

[emexotechnologies]

Data Science Training in Electronic City Banglore

🚀Are you Looking to enhance your data science skills? Look no further! Join us at eMexo Technologies for top-notch Data Science Training in Electronic City, Bangalore. 💻 With our expert instructors and hands-on approach, you'll master essential data science concepts and tools to propel your career to new heights. Plus, we are offering a special flat 30% discount on all our training programs! 🎉 https://www.emexotechnologies.com/courses/data-science-with-python-certification-training-course/

🌟 Why Choose eMexo Technologies?

Expert Trainers

Hands-on Learning

Industry-Relevant Curriculum

State-of-the-Art Infrastructure

Comprehensive Syllabus

Real-world Projects

Interactive Sessions

🏆 Take advantage of this incredible opportunity. Enroll now and unlock your potential with eMexo Technologies. 🔥

For more info👇

📞 +91 9513216462

🌐 https://www.emexotechnologies.com

[neuailabs]

Data Revolution 2024: Embark on a Journey of Discovery with the Trendsetting Data Science Course

In a world driven by information and innovation, the need for expertise in data science has never been more critical. As we stand on the brink of the Data Revolution in 2024, it's imperative to equip ourselves with the tools and knowledge necessary to navigate this transformative landscape. Our Data Science Course at NeuAI Labs is not just a program; it's a gateway to unlocking unprecedented opportunities in the realm of data.

Click here for more info https://neuailabs.com/

Unparalleled Expertise

At the heart of our Data Science Course is a team of industry experts and seasoned professionals who are at the forefront of the data revolution. Our instructors bring a wealth of real-world experience to the table, ensuring that you receive not just theoretical knowledge but practical insights that are directly applicable to the field.

Cutting-Edge Curriculum

Step into the future with a curriculum meticulously crafted to reflect the latest advancements in data science. From machine learning algorithms to big data analytics, our course covers the entire spectrum of this dynamic field. We leave no stone unturned, ensuring that you are well-versed in the tools and techniques that are currently shaping industries.

Hands-On Learning

Theory alone won't cut it in the fast-paced world of data science. Our course emphasizes hands-on learning, providing you with the opportunity to apply your knowledge in real-world scenarios. Engage in projects that simulate actual industry challenges, and graduate with the confidence to tackle any data-related task that comes your way.

State-of-the-Art Resources

Access to cutting-edge resources is crucial for staying ahead in data science. Our course provides you with state-of-the-art tools and technologies, ensuring that you are well-equipped to tackle the challenges of the data-driven world. From powerful software to high-performance computing resources, we spare no expense in providing you with the best.

Industry Connections

The saying, "It's not just what you know, but who you know," holds true in the professional landscape. Our Data Science Course opens doors to a network of industry connections that can prove instrumental in your career. From guest lectures by industry leaders to networking events, we facilitate opportunities for you to build relationships that matter.

Tailored Career Support

Embarking on a journey in data science is not just about acquiring skills; it's about building a successful career. Our course goes beyond education by offering tailored career support services. From resume workshops to mock interviews, we are committed to ensuring that you not only graduate with knowledge but also with the confidence to excel in job interviews and beyond.

Global Recognition

In a world where credentials matter, our Data Science Course stands out. Recognized globally for its excellence, our program carries the prestige that can open doors across borders. Whether you aspire to work locally or on the international stage, our certification is a testament to your commitment to excellence in the field of data science.

Click here for more info https://neuailabs.com/artificial-intelligence-data-science/

Join the Data Revolution Today!

As the Data Revolution unfolds, the demand for skilled data scientists is skyrocketing. Don't just be a spectator; be a trailblazer in this transformative era. Enroll in our Data Science Course today and set yourself on a path of continuous learning and unparalleled success at NeuAI Labs. The future of data is here – are you ready to embrace it? Come and join us.

[feminist-space]

"Balaji’s death comes three months after he publicly accused OpenAI of violating U.S. copyright law while developing ChatGPT, a generative artificial intelligence program that has become a moneymaking sensation used by hundreds of millions of people across the world.

Its public release in late 2022 spurred a torrent of lawsuits against OpenAI from authors, computer programmers and journalists, who say the company illegally stole their copyrighted material to train its program and elevate its value past $150 billion.

The Mercury News and seven sister news outlets are among several newspapers, including the New York Times, to sue OpenAI in the past year.

In an interview with the New York Times published Oct. 23, Balaji argued OpenAI was harming businesses and entrepreneurs whose data were used to train ChatGPT.

“If you believe what I believe, you have to just leave the company,” he told the outlet, adding that “this is not a sustainable model for the internet ecosystem as a whole.”

Balaji grew up in Cupertino before attending UC Berkeley to study computer science. It was then he became a believer in the potential benefits that artificial intelligence could offer society, including its ability to cure diseases and stop aging, the Times reported. “I thought we could invent some kind of scientist that could help solve them,” he told the newspaper.

But his outlook began to sour in 2022, two years after joining OpenAI as a researcher. He grew particularly concerned about his assignment of gathering data from the internet for the company’s GPT-4 program, which analyzed text from nearly the entire internet to train its artificial intelligence program, the news outlet reported.

The practice, he told the Times, ran afoul of the country’s “fair use” laws governing how people can use previously published work. In late October, he posted an analysis on his personal website arguing that point.

No known factors “seem to weigh in favor of ChatGPT being a fair use of its training data,” Balaji wrote. “That being said, none of the arguments here are fundamentally specific to ChatGPT either, and similar arguments could be made for many generative AI products in a wide variety of domains.”

Reached by this news agency, Balaji’s mother requested privacy while grieving the death of her son.

In a Nov. 18 letter filed in federal court, attorneys for The New York Times named Balaji as someone who had “unique and relevant documents” that would support their case against OpenAI. He was among at least 12 people — many of them past or present OpenAI employees — the newspaper had named in court filings as having material helpful to their case, ahead of depositions."

[phantomrose96]

The conversation around AI is going to get away from us quickly because people lack the language to distinguish types of AI--and it's not their fault. Companies love to slap "AI" on anything they believe can pass for something "intelligent" a computer program is doing. And this muddies the waters when people want to talk about AI when the exact same word covers a wide umbrella and they themselves don't know how to qualify the distinctions within.

I'm a software engineer and not a data scientist, so I'm not exactly at the level of domain expert. But I work with data scientists, and I have at least rudimentary college-level knowledge of machine learning and linear algebra from my CS degree. So I want to give some quick guidance.

What is AI? And what is not AI?

So what's the difference between just a computer program, and an "AI" program? Computers can do a lot of smart things, and companies love the idea of calling anything that seems smart enough "AI", but industry-wise the question of "how smart" a program is has nothing to do with whether it is AI.

A regular, non-AI computer program is procedural, and rigidly defined. I could "program" traffic light behavior that essentially goes { if(light === green) { go(); } else { stop();} }. I've told it in simple and rigid terms what condition to check, and how to behave based on that check. (A better program would have a lot more to check for, like signs and road conditions and pedestrians in the street, and those things will still need to be spelled out.)

An AI traffic light behavior is generated by machine-learning, which simplistically is a huge cranking machine of linear algebra which you feed training data into and it "learns" from. By "learning" I mean it's developing a complex and opaque model of parameters to fit the training data (but not over-fit). In this case the training data probably includes thousands of videos of car behavior at traffic intersections. Through parameter tweaking and model adjustment, data scientists will turn this crank over and over adjusting it to create something which, in very opaque terms, has developed a model that will guess the right behavioral output for any future scenario.

A well-trained model would be fed a green light and know to go, and a red light and know to stop, and 'green but there's a kid in the road' and know to stop. A very very well-trained model can probably do this better than my program above, because it has the capacity to be more adaptive than my rigidly-defined thing if the rigidly-defined program is missing some considerations. But if the AI model makes a wrong choice, it is significantly harder to trace down why exactly it did that.

Because again, the reason it's making this decision may be very opaque. It's like engineering a very specific plinko machine which gets tweaked to be very good at taking a road input and giving the right output. But like if that plinko machine contained millions of pegs and none of them necessarily correlated to anything to do with the road. There's possibly no "if green, go, else stop" to look for. (Maybe there is, for traffic light specifically as that is intentionally very simplistic. But a model trained to recognize written numbers for example likely contains no parameters at all that you could map to ideas a human has like "look for a rigid line in the number". The parameters may be all, to humans, meaningless.)

So, that's basics. Here are some categories of things which get called AI:

"AI" which is just genuinely not AI

There's plenty of software that follows a normal, procedural program defined rigidly, with no linear algebra model training, that companies would love to brand as "AI" because it sounds cool.

Something like motion detection/tracking might be sold as artificially intelligent. But under the covers that can be done as simply as "if some range of pixels changes color by a certain amount, flag as motion"

2. AI which IS genuinely AI, but is not the kind of AI everyone is talking about right now

"AI", by which I mean machine learning using linear algebra, is very good at being fed a lot of training data, and then coming up with an ability to go and categorize real information.

The AI technology that looks at cells and determines whether they're cancer or not, that is using this technology. OCR (Optical Character Recognition) is the technology that can take an image of hand-written text and transcribe it. Again, it's using linear algebra, so yes it's AI.

Many other such examples exist, and have been around for quite a good number of years. They share the genre of technology, which is machine learning models, but these are not the Large Language Model Generative AI that is all over the media. Criticizing these would be like criticizing airplanes when you're actually mad at military drones. It's the same "makes fly in the air" technology but their impact is very different.

3. The AI we ARE talking about. "Chat-gpt" type of Generative AI which uses LLMs ("Large Language Models")

If there was one word I wish people would know in all this, it's LLM (Large Language Model). This describes the KIND of machine learning model that Chat-GPT/midjourney/stablediffusion are fueled by. They're so extremely powerfully trained on human language that they can take an input of conversational language and create a predictive output that is human coherent. (I am less certain what additional technology fuels art-creation, specifically, but considering the AI art generation has risen hand-in-hand with the advent of powerful LLM, I'm at least confident in saying it is still corely LLM).

This technology isn't exactly brand new (predictive text has been using it, but more like the mostly innocent and much less successful older sibling of some celebrity, who no one really thinks about.) But the scale and power of LLM-based AI technology is what is new with Chat-GPT.

This is the generative AI, and even better, the large language model generative AI.

(Data scientists, feel free to add on or correct anything.)

[poolseason]

more Ninjagelion AU

Setup: In the aftermath of a cataclysmic event on the Dark Island where humans accidentally awakened an entity known as the [OVERLORD] the world was plunged into eternal chaos. 20 years later, Ninjago has managed to rebuild. Now in New Ninjago City, a bustling and lively hub at the heart of Ninjago, has been under attack by monsters- onis, dragons, serpents, unexplainable beasts,- creatures made from the [OVERLORD]'s darkness. Luckily the Special Division ELEMENTS is here to protect the realm from these monstrous threats, with the NINJA mechs. This cant be possible without some valuable members of the team!

Characters, lore, and more ↓

Characters:

Pixal: In this au she's a human scientist, and probably the one person who knows the most about how the NINJA mechs are created. She's in charge of the technical division, and head of research and development. During a monster battle, her order's are second to Cole's. Her highest priority is the integrity of the mechs, to the point she might be a bit negligent of the safety of their pilots. Pixal is deeply involved in some suspicious agendas involving the secret entities hidden under the base, and while she's the most knowledgeable person in the force, she's not the most trustworthy. Pixal is Zane's personal "doctor" and knows more about his schematics than anyone else. She created the Nindroid plugs (aka the Dummy system, an autopilot of sorts) with his personality data. Pixal is also one of the few people who know what happened to the original Dr. Julien and Echo.

Jay: For a little history on him, Jay is on the younger side, have graduated from college a couple of years ago. He originally interned here as an electrical engineer in the Weapons Deparment, but Pixal saw his skill and ingenuity and gave him an unrefusable return offer in the R&D department as her right hand. Jay's parents, Ed and Edna Walker were colleagues of Cyrus Borg and were involved in the engineering and design of the Geofront and NNC's civilian safety infrastructure, so Jay's always been somewhat interested in ELEMENT's work. It was kind of a dream come true when the Pixal Borg hired him. During monster attacks, Jay's in charge of making sure the NINJA mechs operate properly, have access to their weapons and gear, and making sure the NNC fortress moves as needed. Jay's always seen with his goggles and he almost never follows uniform protocol.

Jay is also one of the few Technicians who personally work with the Pilots, he's one of the first people Lloyd warmed up to at ELEMENTS, and he becomes kind of a big brother figure to him after one particularly crazy mission when he has to personally go out onto the field with Lloyd in Unit-01. When Nya arrives the pair work together a lot outside of pilot training, but Nya definitely likes him and he... needs to figure some things out. whoops!

Skylor: Having grown up in the aftermath of the 2nd (Overlord) Impact, Skylor's seen a lot of destruction and cruelty, even first hand from her own father who lead a doomsday cult that wreaked havoc on innocent communities trying to survive in the near apocalyptic event. Vowing to protect the world from similar chaos, she joined the NINJA program's tactical division. When the monster attacks began, she's in-charge of monitoring the enemy's health, pilot life signs, and mapping.

Dareth: His last name is Presley bc of the Elvis hair and inspiration lmao. He's not really a high ranking member of the organization but Cole and the others seem to really trust him, despite his mess ups. Dareth normally handles ferrying radio messages between ground teams and mission control. Dareth is a relaxed guy who values a positive work environment, even if that kind of makes him a bad employee. He's a very good uncle figure to a lot of members of ELEMENTS

MORE Cole: Cole is the leader of the tactical division. He was drafted into the military when he was only a young teenager in the aftermath of the [OVERLORD] but he was recognized by Wu and not long after he completed college and grad school he was quickly hired by ELEMENTS to oversee the tactical division. He's vengeful towards the Overlord's darkness monsters because his mother Lily was the captain of the disastrous expedition to the Dark Island 20 years ago. The dog tags he wears are his own and his mother's.

Lloyd and Zane, on neural headsets: As pilots of a NINJA mech they have a lot of pressure on them, obviously this can cause a lot of mental turmoil and stress. In order to pilot a mech they must synchronize their own mind to their mech's soul*, so stress isn't really a good thing for a pilot to have. Zane was programmed to not experience such emotions, but over the course of the series, its proven that he grows to feel quite strongly and become more human. Despite his programming, the lack of emotion early on was actually a detriment to his ability to pilot, since the NINJA soul wouldn't be able to synchronize it's feelings with an entity that feels nothing. Sometimes its necessary for pilots to wear more complicated neural headsets and spinal connections for more controlled sync testing. During the cross-sync experiment when Zane and Lloyd traded units, they were stuck wearing extra uncomfortable test suits -- too many wires and junk! The only downside to extra connection is that the mech could overload and go berserk. (which big surprise, happened!), so usually Lloyd, the designated Unstable Pilottm, only needs the barebones neural interface in most situations.

[nasa]

Let's Explore a Metal-Rich Asteroid 🤘

Between Mars and Jupiter, there lies a unique, metal-rich asteroid named Psyche. Psyche’s special because it looks like it is part or all of the metallic interior of a planetesimal—an early planetary building block of our solar system. For the first time, we have the chance to visit a planetary core and possibly learn more about the turbulent history that created terrestrial planets.

Here are six things to know about the mission that’s a journey into the past: Psyche.

1. Psyche could help us learn more about the origins of our solar system.

After studying data from Earth-based radar and optical telescopes, scientists believe that Psyche collided with other large bodies in space and lost its outer rocky shell. This leads scientists to think that Psyche could have a metal-rich interior, which is a building block of a rocky planet. Since we can’t pierce the core of rocky planets like Mercury, Venus, Mars, and our home planet, Earth, Psyche offers us a window into how other planets are formed.

2. Psyche might be different than other objects in the solar system.

Rocks on Mars, Mercury, Venus, and Earth contain iron oxides. From afar, Psyche doesn’t seem to feature these chemical compounds, so it might have a different history of formation than other planets.

If the Psyche asteroid is leftover material from a planetary formation, scientists are excited to learn about the similarities and differences from other rocky planets. The asteroid might instead prove to be a never-before-seen solar system object. Either way, we’re prepared for the possibility of the unexpected!

3. Three science instruments and a gravity science investigation will be aboard the spacecraft.

The three instruments aboard will be a magnetometer, a gamma-ray and neutron spectrometer, and a multispectral imager. Here’s what each of them will do:

Magnetometer: Detect evidence of a magnetic field, which will tell us whether the asteroid formed from a planetary body

Gamma-ray and neutron spectrometer: Help us figure out what chemical elements Psyche is made of, and how it was formed

Multispectral imager: Gather and share information about the topography and mineral composition of Psyche

The gravity science investigation will allow scientists to determine the asteroid’s rotation, mass, and gravity field and to gain insight into the interior by analyzing the radio waves it communicates with. Then, scientists can measure how Psyche affects the spacecraft’s orbit.

4. The Psyche spacecraft will use a super-efficient propulsion system.

Psyche’s solar electric propulsion system harnesses energy from large solar arrays that convert sunlight into electricity, creating thrust. For the first time ever, we will be using Hall-effect thrusters in deep space.

5. This mission runs on collaboration.

To make this mission happen, we work together with universities, and industry and NASA to draw in resources and expertise.

NASA’s Jet Propulsion Laboratory manages the mission and is responsible for system engineering, integration, and mission operations, while NASA’s Kennedy Space Center’s Launch Services Program manages launch operations and procured the SpaceX Falcon Heavy rocket.

Working with Arizona State University (ASU) offers opportunities for students to train as future instrument or mission leads. Mission leader and Principal Investigator Lindy Elkins-Tanton is also based at ASU.

Finally, Maxar Technologies is a key commercial participant and delivered the main body of the spacecraft, as well as most of its engineering hardware systems.

6. You can be a part of the journey.

Everyone can find activities to get involved on the mission’s webpage. There's an annual internship to interpret the mission, capstone courses for undergraduate projects, and age-appropriate lessons, craft projects, and videos.

You can join us for a virtual launch experience, and, of course, you can watch the launch with us on Oct. 12, 2023, at 10:16 a.m. EDT!

For official news on the mission, follow us on social media and check out NASA’s and ASU’s Psyche websites.

Make sure to follow us on Tumblr for your regular dose of space!

[razztazzel]

Thought it would but cute to revisit this old au of mines and give it some lore!

I’m really passionate about this au specifically because I LOVE sci-fi like ALOT… so I might make a lot of content of it… OFC Helios planet will still be going on trust

Non filtered version + lore ⬇️⬇️⬇️

LORE!!!

All the toons are aliens!!! On a completely different planet (exoplanet) about 4.2 Light years away from earth. The company, C.V. inc. aka Cosmic View Incorporated labeled it “Proxima Centauri b” (Its a Genuine exoplanet that’s the closest known to earth it’s so cool) Let’s just say In this au, Earth is extremely Sci-FI like, reaching advances where it wouldn’t be really…. Possible as earth is now…

And so they developed travel though hyperspace (just to clarify, Hyperspace is a fictional concept and not based on current scientific understanding; it's often portrayed as a different dimension where normal space-time rules don't apply - google or something) and managed to land on Proxima Centauri b! The people traveling were highly advanced scientists and they were like, woahhh look at these little whimsical creatures!!! But only like 4 “handlers” went Cause it was still in development!!! So it was kind of a suicide mission to put it frankly

They didn’t die.. Thankfully!!! And they successfully made it back probably old and decrepit, just with a few aliens that totally weren’t kidnapped or anything (They done took the mains, Besides Zee(Vee) she didn’t exist on their planet since she’s a robot made by C.V. Inc.) Vee was made by the soon to be handlers in an attempt to collect direct data from the totally not kidnapped toons! Her emotions are 100% programmed but ran through an advanced ai that study’s the emotion of literally everything living that’s around her so her emotions can be pretty accurate to a certain degree before the robot part generally makes way, Her ai detects any subtle or visible emotion and collects data of it to train itself on how to process and express emotion, but she’ll never have TRUE emotion

Unlike original Vee they’re smart and makes her entirely water proof and very much heat resistant, Zee just cannot be Submerged in water. Anyway a group of.. more like.. scientists in like…training became handlers as a little hands on experiment for them since the owner of the entire thing was really really interested in the toons and wanted to be involved with data processing so she assigned newbies (ish) to be the handlers.. She herself handles Andy (Dandy)!

The toons are all kept in separate rooms similar to those of like experiments just less cruel, like SCP type shit but cooler and not evil… looking… trust trust… so they can be observed and have data recorded…Besides confinement they’re actually treated really well! Sprout learns to bake through his handler and generally enjoys it so he’s allowed to bake every now and then, Shelby (Shelly) gets loads of attention for being an alien bro does NOT wanna leave, Genesis Rock (Pebble) is treated like a legitimate dog gets walked and has play time even though since he’s a rock he probably doesn’t need it, but data is data, Andy hates it there they tried to feed him plant fertilizer once cause he resembles a flower..

Anyway Vee is the only one who’s not in confinement and is generally like a little bot helper for the company, YES!!! THE TOONS ARE ALLOWED TO ROAM!!! Those lovely creatures are not locked away… forever…

TOON TRIVIA

Andy(Dandy) Now has 4 arms!

Astro becomes spiderman ( Ok not really he just gets 6 arms and is constantly floating, Studies show that he cannot seem to stop..)

Shelby (Shelly) Is a mixture of an alienized fossil with a freaky chameleon, with more feral-ish aspects like protruding fangs and sharper hands compared to the others

Genesis (Pebble) can literally walk on air

sprouts hair is ALIVE do NOT cut it he will scream and he has awful fashion sense because refuses to take the scarf off because it was a gift from cosmo before being taken by weird tall things he didn’t know hashtag last thing he has from cosmo hashtag fruitcake angst hashtag NO MORE FRUITCAKE/j

Zee (Vee)is specifically meant to look similar to the alien toons, She doesn’t have a handler though the handlers like to let her wear a coat, they think it looks cute on her small frame…🫶🫶

Sprouts handler encourages sprout to wear the cute aprons they give him, he always refuses… one day.. one day..

Astro generally cannot stop floating, luckily for some reason gravity won’t allow him to float too high so he’s just chilling fr

I think I’ll call this au Cosmic Veiw incorporation /inc or to put it simply, Alien or space au for easy tagging

[krupa192]

Can AI Really Help You Find Your Soulmate? The Role of Data Science in Modern Dating 

Dating has come a long way in the digital era, with technology reshaping how people connect and form relationships. Whether it’s swiping on Tinder, answering compatibility questions on OkCupid, or relying on AI-powered matchmaking on Hinge, data science is playing a pivotal role in modern dating apps. But can artificial intelligence (AI) really help you find "the one"? 

In this article, we’ll explore how AI and machine learning are revolutionizing online dating, the extent to which they can predict compatibility, and whether technology is capable of replacing human intuition when it comes to romance. Additionally, if you’re interested in working in this exciting field, we’ll introduce the Machine Learning Course in Kolkata, a great stepping stone into AI-driven industries. 

How Dating Apps Use Data Science 

The Power of Data in Matchmaking 

Dating apps generate massive amounts of data from user profiles, swipes, messages, and interactions. This data is analyzed using machine learning algorithms to improve matchmaking, personalize experiences, and keep users engaged. Some key ways data science is used include: 

User Profiling: Algorithms analyze user interests, demographics, and behaviours to identify patterns. 

Smart Matching Systems: AI predicts potential matches based on past interactions and user preferences. 

Text and Sentiment Analysis: Natural language processing (NLP) helps assess chat compatibility and engagement. 

Scam and Bot Detection: Machine learning identifies and blocks fraudulent accounts. 

Behavioural Predictions: AI can anticipate how likely a user is to engage in a conversation or ghost someone. 

With these advancements, dating apps are getting smarter at finding connections that go beyond just good looks. 

AI and Compatibility: Can Algorithms Predict Love? 

How AI Chooses Your Matches 

Modern dating apps use AI-driven approaches like: 

Collaborative Filtering: Similar to how Netflix recommends shows, AI suggests potential matches based on users with comparable behaviour and preferences. 

Personality and Psychometric Analysis: AI assesses compatibility by analyzing personality traits and past relationship patterns. 

Facial Recognition and Attraction Analysis: Some platforms experiment with AI-powered facial analysis to understand attraction tendencies. 

Sentiment Analysis: Machine learning evaluates message tone and interaction frequency to predict chemistry between users. 

Apps like Bumble, Tinder, and Hinge use a combination of data analytics and AI-driven insights to refine their matching algorithms, increasing the likelihood of long-term compatibility. 

The Limitations of AI in Love 

Despite its advanced capabilities, AI cannot replicate human emotions, chemistry, or intuition. While it can help narrow down potential matches based on shared interests and behavioural patterns, true compatibility involves elements like physical attraction, humour, and emotional connection—things that AI can’t fully quantify. 

Making Online Dating Safer with AI 

Tackling Fake Profiles and Fraud 

The online dating world has its fair share of scammers, catfishers, and toxic users. AI is now being used to tackle these challenges by: 

Identifying Deepfake Images: AI can detect and remove altered or stolen profile photos. 

Monitoring Suspicious Behaviour: Machine learning flags patterns linked to fraudulent activity or harassment. 

Content Moderation: AI-powered chat filters prevent offensive or harmful messages from being sent. 

ID Verification: Some platforms use AI to match profile pictures with government-issued IDs to verify user identities. 

For instance, Tinder’s Are You Sure? feature uses AI to detect inappropriate messages and warn users before they send them, reducing the chances of harassment. 

Personalizing the Dating Experience 

AI is also enhancing user engagement by offering features such as: 

Smart Icebreakers: AI-generated conversation starters tailored to a person’s profile. 

Mood-Based Matching: Some apps are exploring AI-powered mood analysis to enhance compatibility suggestions. 

Augmented Reality (AR) Dates: Virtual dating experiences powered by AI and AR technology. 

With AI making dating apps smarter and more intuitive, users are getting more meaningful matches and personalized experiences. 

What’s Next for AI in Dating Apps? 

The Future of Data-Driven Dating 

The next wave of AI innovations in dating apps may include: 

DNA and Biological Compatibility Matching: AI could analyze genetic data to predict physical compatibility. 

Real-Time Emotion Recognition: AI may assess facial expressions during video chats to gauge attraction. 

Predictive Relationship Success Models: Machine learning could analyze relationship histories to forecast long-term success rates. 

While these advancements are still in early stages, they could redefine how we find and sustain relationships in the digital age. 

Learning Data Science to Build the Next Generation of Dating Apps 

As AI continues to shape industries like online dating, there’s never been a better time to learn machine learning, AI, and data science. If you’re interested in working on AI-powered applications, the Machine Learning Course in Kolkata is an excellent place to start. 

Why This Course? 

Covers AI, deep learning, NLP, and predictive modeling 

Provides hands-on training with real-world datasets 

Equips students with the knowledge to work in cutting-edge industries like AI-driven dating apps 

By mastering AI and data science, you can help shape the future of matchmaking and beyond. 

Conclusion: Can AI Truly Find Your Soulmate? 

AI has revolutionized online dating, making matches smarter and more personalized. However, human emotions, chemistry, and intuition still play a crucial role in finding love. While AI can increase the likelihood of compatibility, it cannot replace the deep human connections that make relationships meaningful. 

For those fascinated by the intersection of technology and human relationships, the Best Data Science Institute offers a gateway into the world of AI-powered matchmaking. As AI continues to advance, one thing is certain—the future of dating is becoming increasingly data-driven. 

Love remains a mystery, but with AI, finding it might just become a little easier! 

[therocketeer0501]

Emptiness Machine

Starscream X Reader (mech pilot AU)

Warnings/TW: blood, weapons, mention of torture, robot gore, human experimentation (shockwave is shockwave), language, and peril. (I’ll add more as I post)

(Author note: Before I get started I wanted to get a few things out of the way. This is my own AU and doesn’t really lend itself to much existing media. Gonna mash a few continuities together. This is in no way a professional writing by any means. I am not running it past a beta or anything so it’s going to be rough. I wanted to write this for myself and share it with y’all! This is my silly nonsense. That being said if I don’t clarify something or if something doesn’t make sense please submit an ask and I will promptly explain! Now without further ado. Here is the anticipated first chapter of Emptiness machine! Thank you all for waiting.)

Read first

Data log entry #857

Date: 003029 Time: 0700

Time since first contact: 2 years, 4 months, 7 days

What began as a national defense strategy became one of the most complex military operations in the history of the world. Project Archangel, founded by Dr. Zinovy Antonov, began under the pretense of creating the world’s first mechanized army. He started his research long before we found out we weren’t alone out here among the stars. With the arrival of the Cybertronian visitors came the fear that humanity was not only vastly outgunned, but also grossly unprepared to deal with any threat from deep space. Dr. Antonov pleaded with the government to allow him near the deactivated body of one of the Cybertronians, who was discovered after a battle had broken out between factions.

He studied their biology and created what he dubbed the perfect exoskeleton. Fueled by chemical X, also known as Energon, and operated by none other than the human soul itself. There weren’t many volunteers to undergo the rigorous training and testing that these pilots had to go through. But with the help of Cybertronian Autobot scientists, Project Archangel was finally given the green light to move forward. Only three pilots made it through the initial testing.

Pilot: Seraphim, Pilot: Uriel, and Pilot: Michael.

With their functioning mecha, these pilots were meant to assist the Autobot Cybertronians in keeping earth from being terraformed by the opposing Cybertronian facton, the Decepticons.

Which brings us to the present. We have had zero contact with the other faction known as the Decepticons until two months ago. The Autobots insisted we keep our distance and only deploy Project Archangel as a last resort. Keeping the humans out of the conflict was essential if they wanted to stay neutral in the eyes of the Decepticons. As far as we know, no Decepticon has ventured down to the planet’s surface from their airship Nemesis to interact with the population. Only sending drones to wreak havoc on areas rich in Chemical X.

However, in recent months, there have been sightings of Decepticon officers and scientists (identified by Autobot command) on the planet’s surface. It was decided that we bring Project Archangel out of the shadows and deploy them on a scouting mission alongside several Autobots. We only hope that we haven’t made a grave mistake.

Chapter 1

You let yourself be pulled through the spiral of light emanating from the ground bridge. Traveling via the alien tech was a feeling that no one could describe. The closest thing to it was like having a magnet in your chest be pulled faster than your brain could register before spitting you back out on the other side. It had taken many practice runs for you to not throw off your stabilizers and stick the landing. Though it still made you dizzy and a bit sick.

After landing behind Bee in a heavily wooded area, you quickly scan the trees for energy signatures. Your scanners were only programmed to detect the Decepticon drones and of course the energy signatures of your comrades. Bumblebee signaled for you to fall in behind him and you promptly obeyed. You could feel the way your heart pounded against your ribcage where your body rested snug inside the metal chest of your mech. Your consciousness flawlessly divided between the two bodies. One living metal, and one flesh. Energon flowed steady through your lines as you tried to calm the slight tremor of your hand that came with the rush of adrenaline.

Ahead you could see the energon mine in the waning light. A clearing with a large metal structure in the center. The two huge metal doors at the entrance had been blown wide open to reveal the tunnel that went deep inside the earth to extract the precious ore. The human sentries, once posted outside, were nowhere to be found. Vehicles were overturned and some still smoldered where they had been hit with plasma bolts. You switch to internal comms so you can communicate with Bee without anyone on the outside hearing.

“Second wave in twenty. Nineteen….”

You slowly count down the seconds until the others arrive so you can rush the structure together. Adjusting your grip on your rifle you study entrance trying to imagine just what awaited you inside. Clearly a monster. Looking to your left you see Bumblebee gripping his null ray, an uncharacteristically stoic look on his face. You had some form of friendship with all the autobots, but you were closest to the little yellow scout. Perhaps it was shared interest or the fact that he seemed more your age. Whatever the case, you had shared so many things with each other over the two ish years that you had been a part of Project Archangel. Only once did you ask him about his home.

He looked saddened at the question and at first you thought he wouldn’t answer you. But he did. You spent the better part of a day listening to how he didn’t know Cybertron before it had been nearly obliterated by the war. It had been a planet filled with culture, music, and arts. No factions to speak of. A united Cybertron. But then came the slow divide of the classes. The divide grew until there were only the obscenely wealthy, and those who had nothing. That’s when, from the pits of Kaon, came the leader of the Decepticon faction.

Megatron.

Bumblebee described him as charismatic and well spoken. Someone bots wanted to rally behind. Many of the Autobots started out as Decepticons in the early days of the war. Taking down the government brick by brick until nothing remained. When it came time to build a new government, Megatron wasn’t satisfied. He wanted all the bots and their families who dared oppress him gone. Obliterated until nothing was left. He ended up doing exactly that. This cost him many followers and eventually after many thousands of years, his home. He didn’t stop. Blaming the Autobots for the lack of energon and destruction on Cybertron.

With a dead world and nowhere to go, the Autobots turned to the libraries in what was left of Iacon. There they found records of worlds seeded with energon by the 13 original Primes. A failsafe in case something were to happen to Cybertron. Optimus Prime lead the remaining Autobots off world to look for a suitable new home. Of course Megatron followed. They tore their way through 11 uninhabited worlds while trying to find one that suited them best. Stripping the worlds of their energon before moving on to the next. Earth was the first seeded world to have intelligent life. Optimus made it his sole mission to keep that intelligent life from having to endure the horrors of the war they brought with them.

It was nearly impossible due to the ever present evil that lurked in the sky. The Nemesis, like a dark cloud, hung overhead when you looked up. What kind of monsters would tear apart their home just to make a point? You were about to find out. A ground bridge portal appeared nearly blinding her as she adjusted her optics to its harsh blue light. Four bots landed and immediately began sprinting towards the entrance. Your peds began to automatically move. The yellow scout close on your heels as the two of you followed your comrades inside. Drones swarmed around you the instant you broke the entrance. Inside you could see Cliffjumper, Sideswipe, Sunstreaker, and one of your brothers in arms Michael. His mech was a heavy class. Not very good at maneuvering but excellent at breaking things. Throwing a drone into a wall with the butt of your rifle, you turn to Bee and chuckle over comms.

“I was expecting more of a fight. This is a fairly average number of drones.”

He didn’t reply right away as he tried to pull a drone off of one of the lambo twins. You couldn’t tell which one because of the sheer number of bodies trying to suffocate the bot. Using your jump jets you propel yourself forward and into the pile sending a good number of the drones flying. They broke easily, not filled with much energon either. It made you wonder just how the Decepticons managed to manufacture so many drones while the Autobots controlled the energon. With the last of the drones dispatched, you look around and regroup with the others. Slowly you start moving further into the mine. Eventually it would open up into a huge cavern. It would be beautiful if not for the dread that had settled over the group like a thick fog. Suddenly your comm crackled to life as Sideswipe replied to your earlier comment in Bumblebee’s stead.

“We’ll get a good fight eventually. These tin cans are just the appetizer for the main course. It’s confirmed, Shockwave is here. I’ve been itching to dig my fist into that lone optic of his.”

He emphasized his excitement by sending his fist into the shoulder of his brother. The golden bot gave him a sour look but didn’t retort like he normally would have. The energy of the Autobots had been stoic ever since it was confirmed that the first Decepticon on scene was Shockwave. You had no idea what to expect. You knew Shockwave was a scientist and known for his cruel and unusual experiments during the war on Cybertron. He created the most horrific weapons used in the Great War, so he must be someone to fear at the very least.

As you make your way down, you begin to hear a long drawn out noise. Almost like a squeaky door hinge but amplified, bouncing off the walls of the mine shaft. Then there was the screaming. You had wondered what happened to the sentries who were stationed outside. Now you knew. A deep voice rumbled from up ahead. It was cold, unfeeling, and filled you with dread.

“Test 8 unsuccessful. Most illogical. Send another.”

There was that horrible sound like metal rending and then another shriek cut short. Before a sigh of resignation came from nearby. It wasn’t Shockwave who made the noise of dissatisfaction. Another Decepticon. Your heart pounded as you look over at your fellow bots to see if they heard the same thing you did. If their wide optics were any indication, they had. Two Decepticons. Not just one. You listened closely as the other bot seemed to pace back and forth in front of the opening to the cavern. You and your companions were split on either side of the entrance, listening but not yet entering the space.

The other Decepticon doesn’t speak and suddenly he goes eerily silent. It made your hair stand on end and you almost felt like you were being watched. Could Decepticons see through reinforced steel? You shook your helm at the thought. No way. But after a heartbeat he said something that had your heart in your throat.

“Shockwave wrap it up. We aren’t alone.”

Cliffjumper growled into his comm in recognition of the voice.

“Spinster. He’s going to be trouble.”

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[gunsandspaceships]

MCU Timeline: Black Widow

1970s - Early 1980s - Melina Vostokoff is cycled through the Red Room (four times).

1980s - Alexei Shostakov serves as the Soviet superhero Red Guardian.

December 3, 1983 - Natalia Alianovna Romanova is born.

Note: In CA:TWS, Zola said Natasha was born in 1984, so it's not entirely clear which year is correct. Considering she looked older than 10 in September 1995, and the fact that CA:TWS was a mess in terms of dates, I'd go with 1983.

December 1983 - 1984 - Natasha is selected through a program to assess the genetic potential of infants and taken from her family.

1984 - 1990s or 2000s - Natasha's biological mother is looking for her.

1989 - Yelena Belova is born.

1992 - the last time Alexei Shostakov was on a mission as the Red Guardian.

1992-1995:

Natasha, Yelena, Alexei and Melina play family in Ohio.

The "Parents" infiltrate the North Institute (a front for S.H.I.E.L.D./Hydra scientists working on mind control techniques as part of the Winter Soldier program).

~September 1995:

Alexei steals data from S.H.I.E.L.D./Hydra and burns down the North Institute. They leave the States and fly to Cuba.

Girls are sent to be trained as spies and assassins.

Dreykov throws Alexei in prison for life.

1995 - Early 2000s:

Natasha undergoes training in the Red Room and becomes the Black Widow.

Natasha's biological mother is killed on Dreykov's orders.

1995-2016 - Melina perfects mind control for the Red Room using stolen data.

2000s:

Natasha takes part in KGB missions all over the world.

Yelena is used as a child assassin.

2008:

Natasha defects to S.H.I.E.L.D. after meeting Clint Barton.

As the final step in this process, she blows up General Dreykov and his daughter Antonia in Budapest. For the next eight years, she believes he is dead and the Red Room is gone.

Next 10 days - Natasha and Clint hide from Hungarian special forces, including 2 days in a subway ventilation shaft.

Antonia survives, and her father turns her into a weapon - an operative Taskmaster.

After Natasha's escape, Dreykov begins using chemical subjugation on his agents to prevent anyone else from getting out.

The main events take place in May 2016.

First days of May:

Yelena is freed from mind control while hunting former Black Widow Oksana in Morocco. Oksana, mortally wounded, asks her to free the others with vials of Red Dust. Yelena defects from the Red Room.

With Mason's help, she hides in a safe house in Budapest.

Through him, Yelena sends Red Dust to Natasha.

May 4:

Natasha aids the Rogue Avengers at Leipzig/Halle Airport, attacks T'Challa, and goes on the run from Ross, who places her on an international wanted list.

~Night - Secretary Ross has another heart attack and a second (presumably) triple bypass surgery.

Note: it's probably Tony's fault.

~May 5-7 - Natasha is in the US. She leaves her suit and tracker at the train station and heads back to Europe.

~May 8, 8:50 am (US)/2:50 pm (Norway) - Natasha tricks Ross on her way to Norway and gets rid of her phone.

Why May 8th: Here's the thing - we don't know when Ross's heart attack happened. But since he wasn't monitoring Tony after Raft, I'm guessing it was the same night of May 4th-5th or May 5th. It takes 3 days to start walking after artery bypass surgery. So we have to assume it was at least May 8th. More than a few days would also be weird since Natasha was on the run, not on the crawl.

~5 pm - Natasha buys groceries and arrives at a mobile home in the Norwegian wilderness, where she finds Mason, who has brought her fake IDs and mail from the safe house in Budapest.

~11 pm - the power goes out in the mobile home, and Natasha goes into town to get fuel for the generator, taking the vials with her in the trunk.

She is attacked by Taskmaster, who is looking for the vials. They fight. Taskmaster defeats Nat by throwing her into the river, but she manages to take the vials.

~May 11:

Natasha comes to Budapest.

Why 3 days later: 1) The train ride from Budapest to Norway takes about 2 days. 2) She split her lip during the fight with Taskmaster, which had already healed by the time she arrived in Budapest (takes at least 3 days). 3) The bruises on her body turned purple (takes 2-5 days after they appeared).

She arrives at the safe house and meets Yelena. They then fight, but end up in a truce.

Natasha learns that Dreykov is still alive and the Red Room still exists.

Natasha and Yelena are attacked by mind-controlled Black Widows.

Before they could use Red Dust on one of the wounded Widows, she was killed remotely by Dreykov.

Natasha and Yelena are pursued by Taskmaster until they reach the same ventilation shaft that Natasha and Barton hid in 8 years ago.

Evening - Nat and Yelena decide to destroy the Red Room and kill Dreykov. For real this time.

Natasha orders a jet through Mason.

~May 13:

Yelena and Natasha arrive in Russia.

Mason gets them an old Russian helicopter.

Why May 13: The drive from Hungary to Russia takes ~20 hours. They left at night and could only arrive the following evening. They met Mason in the daytime, that is, the next day.

~May 14:

Natasha and Yelena arrange Alexey's escape from prison in Russia.

F*ck up time: here we go again - snow in Russia in mid-May. I could say "okay" if we were talking about Oymyakon, but it's very far from St. Petersburg, and from the distance they could fly with this helicopter. On the way back they only had fuel for ~100 km of flight. This means that this prison had to be very close to the city. But it definitely wasn't, if our eyes are to be believed. There are no such frozen mountain places around St. Petersburg.

They head to St. Petersburg to find Melina, but they run out of fuel before they reach their destination, so they walk the rest of the way.

Evening - family reunion. They come to Melina's house outside the city.

Melina alerts the Red Room.

Alexei put on his Red Guardian suit (Melina had kept it all these years).

The fake family drinks vodka and argues. Melina tells Natasha the truth about her parents.

10 pm - Melina tells Nat she alerted the Red Room. They create a plan and Melina tells Nat how to defeat Dreykov. Natasha and Melina "switch bodies."

~10:12 pm - Dreykov's agents arrive and take everyone to the Red Room.

~May 15:

1:35 am - Natasha, disguised as Melina, comes to Dreykov's office and activates her tracker, allowing Ross to find her.

The Red Room surgeons prepare Yelena for a craniotomy so that Melina can dissect her brain while Yelena is still alive.

Alexei and the real Melina, in the guise of Natasha, wake up in the Red Room cells on level zero.

Dreykov exposes Natasha.

Melina, Alexei and Yelena escape.

Dreykov reveals that Taskmaster is his daughter, who survived the explosion. He sends her away and is left alone with Natasha.

Alexei fights Taskmaster. He and Melina manage to put her in a cell.

Dreykov prevents the activation of the landing protocol and shows Natasha the console from which he controls all the Black Widows.

Natasha breaks the pheromone lock preventing her from killing Dreykov and attacks him.

Melina destroys the Red Room's engine and the structure goes on an (un)controlled crash.

Black Widows attack Natasha.

Yelena blows up the vials, exposing the Black Widows to the Red Dust.

Natasha downloads the Black Widow database.

She frees Antonia from the cell.

Yelena kills Dreykov, Natasha fights Taskmaster.

After sunrise, somewhere in eastern Russia, few time zones away from St. Petersburg - Natasha, Yelena, and Antonia land. Natasha exposes the latter to the Red Dust.

Family gathering. Yelena gives Natasha her vest with many pockets. Natasha gives her a mission to free other Black Widows around the world.

Yelena, Melina, Alexei, Antonia and the freed Widows leave. Natasha surrenders to Ross, who has arrived. She then escapes from his car.

Late May (3 days before the next date) - Mason travels through 6 different time zones to get a quinjet for Natasha.

2 weeks after the termination of the Red Room, last days of May/first days of June 2016 - Natasha, dyed white, finally receives the Avengers jet from Mason and flies to help Rogers organize the Rogues' escape from the Raft.

I can't imagine how he didn't melt in those layers of clothing in the summer.

2016 - May 2018 or late 2023 - early 2024 - Yelena adopts a dog, Fanny.

Late 2023 – Early 2024 – Natasha Romanoff receives a tombstone in Ohio.

Late April/Early May 2024:

Yelena visits the gravesite on her holiday.

Valentina Allegra de Fontaine comes too and gives Yelena her next target - Clint Barton.

MCU Timeline: The Infinity Saga

[dandelionsresilience]

Dandelion News - December 22-28

Like these weekly compilations? Tip me at $kaybarr1735 or check out my Dandelion Doodles for 50% off this month only! Starting in January, I’ll also be posting 5 extra news links to Patreon each week (for free since they aren’t my work)

1. These countries all scored major wins for LGBTQ+ rights in 2024

“Consensual same-sex activity became legal in Namibia [and Dominica…, c]onversion therapy was banned [in Mexico…, Greenland] made LGBTQ+ discrimination illegal […, and] same-sex adoption and same-sex marriage became legal [in Greece.]”

2. After trial and error, Mexican fishers find key to reforesting a mangrove haven

“So far, the project has planted more than 1.8 million mangroves that have a 92-94% survival rate, Borbón estimated. [… M]angroves can prevent coastal erosion, store carbon and provide a nursery for all kinds of fish and crustacean species.”

3. ‘Britain’s wildlife safari’: baby boom in Norfolk as seal colonies flourish

“More than 1,200 seal pups were born […] in November, and 2,500 more are expected to be born before the breeding season ends in January. […] “Mortality seems to be much lower than in other colonies[….]””

4. Barcelona's metro trains are helping to charge the city's EVs each time they brake.

“[…T]he energy from the underground trains' brakes is used to power the trains and the stations themselves, while the remainder is sent snaking through cables to the surface to power plug-in stations for privately owned vehicles.”

5. Scientists thought this whale could only live for 70 years – turns out it's double that.

“The data [from repeated “photo identification of individual”s] revealed that Southern right whales can live for more than 130 years, with some speculated to reach the grand old age of 150.”

6. Rural Power Co-Ops Gain $4.37B in Latest US Clean Energy Funding

“[… A power co-op in Florida] will use its funding of more than $1.3 billion to develop 700 MW of utility-scale solar and battery energy storage projects in rural areas, reducing greenhouse gas emissions by more than 3.5 million tons annually[….]”

7. Fish-friendly dentistry: New method makes oral research non-lethal

“[… T]he researchers successfully performed the procedure on 60 fish with no fatalities. […] "This new approach researchers to track tooth replacement and development [in living] rare species or museum specimens that can't be damaged."”

8. These Brooklyn Homeowners Couldn’t Afford to Go Green. Then Help Arrived

“The program aims to repair and retrofit 70 two- and three-family homes […] in the span of two years. […] EnergyFit staff work as case managers to help homeowners navigate the complicated technical and bureaucratic processes, coordinate with tenants and set them up for further upgrades down the road.”

9. 2024 was a fantastic year for energy storage

“[… California] became the first state to pass 10 gigawatts, back in April. [… In Texas and California,] when extreme weather events hit, batteries were able to shore up the grid and lower energy costs for customers.”

10. Amid concern over microplastics, a Maine company creates a kelp-based laundry pod alternative

“"The slurry we're creating is similar to that of paper milling, and […] with Maine there's a lot of old infrastructure from the paper industry [… which] can be applied to our process here[….]” If all goes to plan, Dirigo Sea Farms' first batch of 10,000 kelp-based laundry pods will be ready for online sales by next spring.”

December 15-21 news here | (all credit for images and written material can be found at the source linked; I don’t claim credit for anything but curating.)