All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
[Jenna] The interconnectedness of an ecosystem is so important. If we start to take away one component, we lose some of our tall trees, we lose our birds, we lose our mammals It all starts to crumble. Increasingly in the last decades, ecosystems are in decline, and then that…
(inspiring music) Species are going extinct as I speak, and if we don't capture their genetic code now and do it accurately, we'll lose it forever. The goal of the Earth Biogenome Project is to sequence the genomes of 1.8 million species on the planet, everything from mammals to…
We're introducing the traffic simulation tool, the key element of Google's Earth AI portfolio. This is a powerful new instrument for predictive computation that fundamentally derisks major infrastructure investments and validates critical management strategies. This tool models…
When disaster strikes, information is a lifeline. Discover how Groundsource, a new project from Google Research, is helping communities prepare for flash floods using the power of Gemini. Historically, predicting riverine floods relied on physical water gauges—a method that is…
- We are living in such a world that is so rapidly changing. And the skills that we need to go into the professional world are different than they might have been 20 years ago. How do we measure that, how do we become prepared for that, because that might not be taught in…
Наша главная цель в обеспечении устойчивости к кризисам проста. Никто не должен быть застигнут врасплох стихийным бедствием. Еще десять лет назад это казалось недостижимым, но благодаря ИИ- решениям, исследованиям, продуктам и сотрудничеству с партнерами мы добились…
How does Google build the future? Inside Google sits a group of researchers dedicated to exploring the art of the possible. In their mission is to drive the transformative breakthroughs that not only transform Google's products, but help solve some of humanity's biggest…
One of the things that I've learned in outbreak response is that data is very, very valuable when used in decision making. Surveillance is only as good as the places where people can reach a health facility or a clinic. In most cases, also, data is fragmented, largely paper…
When you look at the history of humanity, you can see just how important scientific discovery has been. From the invention of the microscope and the discovery of bacteria to the invention of antibiotics. So I want to understand what will artificial intelligence mean for science.…
AMIE is Google's flagship research project exploring the art of the possible for artificial intelligence in clinical reasoning and conversations. - A core tenet of responsible AI is the human centeredness of it. For that reason, we wanted to work closely with not only the…
Admit, this was actually much more simple than I was imagining, but nonetheless, it's interesting to read. So, we we The title gives it away, right? Embarrassingly >> [laughter] >> In in a previous uh journal club, we read a paper on self-distillation, and in that paper uh there…
Today I'll be speaking about >> [music] >> what we call the identity crisis for browser agents or how can we take human identities and let AI agents use them in a way which is very secure and reliable. So, just a bit about Anchor and about me before we get going. So, I'm Idan…
Cobalt is a Cobalt kit where we make developer infrastructure for uh Cobalt switch are user interactive agents as opposed to fully autonomous agents. And we really make the layers that connect the agentic world with the user-facing application world. And today Cobalt kit powers…
I'm Ashish Sharma, CEO and co-founder of VocalBridge. Super excited to be talking about voice interfaces and how you can build them yourself with VocalBridge. A company I co-founded with Andrew Ng's AI Fund and DeepLearning.AI. Personally, I've spent the last decade of my life…
Hi, in this video I'm going to walk you through a multi-agent setup of AutoResearch. I use open source models and an open source code harness, OpenCode, and I implement AutoResearch, which is a project by Andre Carpathie where he takes a nano GPT project, an LLM in its simplest…
Hi, welcome to this video on how to win humanity's last hackathon. This is a hackathon in the normal sense. There's going to be winners, there's going to be a leaderboard, and you're going to need to complete a pretty hard task. However, in many ways, this hackathon is not a…
This is nice. Okay, I I just quickly introduce and then you could take it from there. So, hello everybody. Welcome to the second iteration of Hugging Face ML Club India. And I am very excited to be here. So, is Shayak I'm pretty sure. We have with us the very talented and…
Hey everyone. Good to be here. I'm Jerry, co-founder and CEO of Llama Index. For those of you who might not have heard of us before, today we're basically focused all on building the best in class agentic document infrastructure. If you've heard of us before, we started off as a…
Hello and welcome. I'm Brandon and we're going to be talking about building the context engine AI agents need. You're working with a lot of agents and those agents are doing things that you either don't want them to do or you're tired when they finish trying to do a code output…
Hi, I'm Neil Kanungo. I'm going to be talking to you today about edge to cloud video anomaly detection. Just doing a quick intro because Terry Demibas session at AI Dev did have some audio technical difficulties for the first few minutes. I'm his manager, Deborah leader at…
Transformers.js brings state-of-the-art machine learning to JavaScript. You can think of it as a library for running AI models locally in the browser through a single high-level API that handles model loading, pre-processing, inference, and post-processing. Hi, I'm Nico and in…
Good morning everyone. How's it going today? Today we're going to be talking about the fine web data set. Now, this is a project by Hugging Face and it is a great example of how to gather all the data that you need to train a large language model. This actually is also available…
One year ago, thousands of people around the world spent one weekend building robots they've never built before. This is what they made and where they are now. >> Hi, I'm Nicodeme from Hugging Face. Exactly one year ago, the Robot Worldwide Hackathon brought together thousands…
Today we are going to hear about the shift towards agentic engineering and increased code output. Welcome Paul. >> One minute into this conference Jonathan said Let's talk about the future of software engineering. Let's have a conversation. Let's figure it out. That's exactly…
This is Leloup, a graphical user interface for the Robot Library. It lets you teleoperate the robots, collect the data set, train models both on your own hardware and with powerful GPUs available through hugging face. And finally, you can of course deploy your working policies…
Uh Andrew here from ZenCode. So today we're going to talk about some very interesting results from our internal lab team that we first kind of tested on different benchmark and evals and then on our own team being guinea pigs. We we got about 50 engineers and then happily…
I'm going to talk to you a little bit about what does it really mean for you to expand from just building one or two agents for your company to building hundreds, you know, the next order of magnitude. And I'll be telling you a little bit about what we've learned at DataDog…
Good morning everyone. How's it going today? Uh today we're going to be taking a look at the Hermes agent and its architecture. So, we're going to be covering a pretty high-level overview of how this agent is built so that you understand a little bit better how to use it and…
Good morning, everyone. How's it going? Today, we're going to be introducing Tao, which is a coding agent that is designed to be educational and to help you build your own coding agents. So, the objective of this project is not to make it compete with established agents like Pi…
This paper is doing something if I understand correctly that is very similar to what pipeline RL proposed for reinforcement learning which is where you want to basically have like really decoupled generators from learners from trainers um but you have the additional complexity…