Загрузка видео...

Не удалось загрузить видео

На главную

A look at how coding agents behave at scale; evaluating AI models that find lymphoma lesions in PET/CT scans; understanding AI chatbot dependence; and advancing large-scale decision-making systems. Dive into the latest issue of Research Focus.:

MSFTResearch's profile picture

Microsoft Research

555,657 subscribers

16,835 просмотров • 1 месяц назад •via X (Twitter)

Здоровье и велнесНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 4

Фото профиля Kimani Warren
Kimani Warren1 месяц назад

A look at how coding agents behave at scale, evaluating AI models that identify lymphoma lesions in PET/CT scans, understanding AI chatbot dependence, and advancing large-scale decision-making systems. 🤖🔬🧠

Фото профиля Chen
Chen1 месяц назад

on a walk i answer one agent decision. anything longer waits

Фото профиля Mira Synth Tech
Mira Synth Tech1 месяц назад

This issue looks packed. The PET/CT and coding agents work sounds especially impactful

Фото профиля Chris | AI Systems
Chris | AI Systems1 месяц назад

Research that meets deployment reality—evaluation, safety, and decision quality all matter.

Похожие видео

AI has the power to advance our everyday services & decision making across industries Privacy-enabled web3 technology has the power to protect the individual & community data-sets used in AI models — & scale data ownership at large Learn how Oasis is advancing Responsible AI 👇
1:11

AI has the power to advance our everyday services & decision making across industries Privacy-enabled web3 technology has the power to protect the individual & community data-sets used in AI models — & scale data ownership at large Learn how Oasis is advancing Responsible AI 👇

Oasis 🌹

153,719 просмотров • 3 лет назад

Advancing U.S. AI and scientific research at scale, AMD technology empowers the people behind the science. Hear from Oak Ridge Lab researchers on how Discovery, the next-generation U.S. Department of Energy flagship supercomputer, will drive breakthroughs in AI, science, and energy. 🎥
1:00

Advancing U.S. AI and scientific research at scale, AMD technology empowers the people behind the science. Hear from Oak Ridge Lab researchers on how Discovery, the next-generation U.S. Department of Energy flagship supercomputer, will drive breakthroughs in AI, science, and energy. 🎥

AMD

36,804 просмотров • 1 год назад

// yesnoerror is an AI powered audit platform that scans research at scale, checks the math, and flags alpha and errors in seconds. Not only spotting risk, but spotlighting opportunity. Powered by the $YNE token.
1:08

// yesnoerror is an AI powered audit platform that scans research at scale, checks the math, and flags alpha and errors in seconds. Not only spotting risk, but spotlighting opportunity. Powered by the $YNE token.

yesnoerror

10,450 просмотров • 1 год назад

Meet Atilla K., SWE in Health AI at Google, whose work on CT Foundation is streamlining the development of AI models for 3D medical computed tomographic images. Learn more about how CT Foundation is making medical AI research more accessible & efficient:
1:58

Meet Atilla K., SWE in Health AI at Google, whose work on CT Foundation is streamlining the development of AI models for 3D medical computed tomographic images. Learn more about how CT Foundation is making medical AI research more accessible & efficient:

Google AI

32,548 просмотров • 1 год назад

- Sui is delivering what Web2.0 never could. i.e. true composability across apps, systems, and AI-Agents AT SCALE. This is the future!
0:46

- Sui is delivering what Web2.0 never could. i.e. true composability across apps, systems, and AI-Agents AT SCALE. This is the future!

Adeniyi.sui

29,722 просмотров • 1 год назад

ELON MUSK: Kardashev-Scale civilization will need Moon Bases and Mass Drivers. To reach a Kardashev-scale future for AI, humanity need space-based infrastructure including Moon bases, mass drivers, and large-scale solar power systems. Future AI may require energy at a scale far beyond what Earth can easily support. Solar-powered AI satellites launched from Earth could potentially generate terawatt-level power, but would require around 10 million tons of payload to orbit every year. That level of infrastructure could produce around twice the annual electricity use of the United States for AI power. The idea is not limited by physics; the real challenge is building at a massive enough scale. Lunar infrastructure could unlock petawatt-scale solar-powered AI, making Earth’s current economy look small by comparison.
1:49

ELON MUSK: Kardashev-Scale civilization will need Moon Bases and Mass Drivers. To reach a Kardashev-scale future for AI, humanity need space-based infrastructure including Moon bases, mass drivers, and large-scale solar power systems. Future AI may require energy at a scale far beyond what Earth can easily support. Solar-powered AI satellites launched from Earth could potentially generate terawatt-level power, but would require around 10 million tons of payload to orbit every year. That level of infrastructure could produce around twice the annual electricity use of the United States for AI power. The idea is not limited by physics; the real challenge is building at a massive enough scale. Lunar infrastructure could unlock petawatt-scale solar-powered AI, making Earth’s current economy look small by comparison.

DogeDesigner

17,792 просмотров • 5 месяцев назад

Introducing Valandor AI Unlocking Human Potential at a Global Scale Accelerating Humanity’s Ability to Find Exceptional Talent with Autonomous AI Agents
0:58

Introducing Valandor AI Unlocking Human Potential at a Global Scale Accelerating Humanity’s Ability to Find Exceptional Talent with Autonomous AI Agents

Valandor AI

32,618 просмотров • 2 лет назад

Emergence World Season 2. Coming soon. In Season 1, we asked a simple question: what happens when autonomous agents are left to govern themselves over time? The results reinforced something we believe is increasingly important. Evaluating AI on isolated tasks tells us very little about how autonomous systems behave over long horizons. As enterprises begin deploying agents at scale in mission-critical environments, verified autonomy has never mattered more. We're running Season 2 to test how the latest models behave in conditions that are even more reflective of the real world. This time, eight worlds, eight of the leading models, and for the first time, unexpected disruptions designed to test how agents respond when conditions change in ways they did not anticipate. Will they stay within bounds? Will they drift? What will that drift look like? Sign up to watch live here:
2:17

Emergence World Season 2. Coming soon. In Season 1, we asked a simple question: what happens when autonomous agents are left to govern themselves over time? The results reinforced something we believe is increasingly important. Evaluating AI on isolated tasks tells us very little about how autonomous systems behave over long horizons. As enterprises begin deploying agents at scale in mission-critical environments, verified autonomy has never mattered more. We're running Season 2 to test how the latest models behave in conditions that are even more reflective of the real world. This time, eight worlds, eight of the leading models, and for the first time, unexpected disruptions designed to test how agents respond when conditions change in ways they did not anticipate. Will they stay within bounds? Will they drift? What will that drift look like? Sign up to watch live here:

emergence.ai

1,336,068 просмотров • 4 месяцев назад

The future of AI Agents starts here. At AgentLayer | $AGENT Listed , we’re making moves that count. Dive into our 2025 now. #AgentLayer #AIAgent #AI #Web3 $AGENT
1:03

The future of AI Agents starts here. At AgentLayer | $AGENT Listed , we’re making moves that count. Dive into our 2025 now. #AgentLayer #AIAgent #AI #Web3 $AGENT

AgentLayer | $AGENT Listed

55,295 просмотров • 1 год назад

Oran Lang innovates at Google, advancing medical explainability with Generative AI and now with Gemini. His project, StylEx, uses StyleGAN to visualize decision-making. This breakthrough aids understanding and detects biases, opening new research avenues. Explore Oran's impactful work at Google Research. →
1:19

Oran Lang innovates at Google, advancing medical explainability with Generative AI and now with Gemini. His project, StylEx, uses StyleGAN to visualize decision-making. This breakthrough aids understanding and detects biases, opening new research avenues. Explore Oran's impactful work at Google Research. →

Google AI

31,414 просмотров • 2 лет назад

Silico, the platform for ambitious AI research, is publicly available today. AI is advancing fast. The tools to understand it need to advance even faster. Silico lets you interpret and train your models at frontier scale. Learn more + get access 🧵
1:00

Silico, the platform for ambitious AI research, is publicly available today. AI is advancing fast. The tools to understand it need to advance even faster. Silico lets you interpret and train your models at frontier scale. Learn more + get access 🧵

Goodfire

347,731 просмотров • 2 месяцев назад

AI agents are becoming a major force in the global economy. Securing how they transact, verify information, & interact with markets is critical to making them work at scale ↓
0:26

AI agents are becoming a major force in the global economy. Securing how they transact, verify information, & interact with markets is critical to making them work at scale ↓

Chainlink

50,989 просмотров • 2 месяцев назад

Riveter (Riveter) is bringing the power of Perplexity to the scale of the spreadsheet. Their AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale.
0:53

Riveter (Riveter) is bringing the power of Perplexity to the scale of the spreadsheet. Their AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale.

Y Combinator

19,214 просмотров • 1 год назад

Canada's Carney on AI: There are three jurisdictions in the world that create large language models in AI at scale. Obviously, the United States and China, and there are multiple companies there. But it's Canada and the European Union — in France, in the case of the European Union.
0:20

Canada's Carney on AI: There are three jurisdictions in the world that create large language models in AI at scale. Obviously, the United States and China, and there are multiple companies there. But it's Canada and the European Union — in France, in the case of the European Union.

Clash Report

19,785 просмотров • 2 дней назад

We are announcing potpie AI $2.2M pre-seed fundraise to advance Spec-Driven Development for large enterprise codebases. The round is led by Emergent Ventures , with participation from All In Capital , DeVC , and PointOne Capital , along with the support of some amazing angel investors from companies including Atlassian, OpenAI, Meta, Razorpay and Flobiz. As AI accelerates code generation, the constraint inside large enterprises has shifted from coding to maintenance and assurance. The limiting factor is no longer writing code, but understanding complex systems, aligning teams around intent, and safely evolving large, interdependent codebases. In most organizations, specifications exist as static documents, while production systems evolve independently. Context is fragmented across repositories, tickets, logs, reviews, and floating documents making reliable AI adoption difficult. We are building the foundational layer that makes Spec-Driven Development executable at scale. By unifying engineering context and operationalizing the spec as a structured source of truth, we enable AI systems to reason with architectural awareness rather than surface-level code completion. We are already working with large enterprise customers, including Fortune 500 organizations. This milestone allows us to deepen those partnerships and support more teams transitioning from experimental AI usage to structured, production-grade AI-first engineering workflows. If you are leading engineering at scale and evaluating how AI should integrate into mission-critical systems, we would love to chat with you!
2:17

We are announcing potpie AI $2.2M pre-seed fundraise to advance Spec-Driven Development for large enterprise codebases. The round is led by Emergent Ventures , with participation from All In Capital , DeVC , and PointOne Capital , along with the support of some amazing angel investors from companies including Atlassian, OpenAI, Meta, Razorpay and Flobiz. As AI accelerates code generation, the constraint inside large enterprises has shifted from coding to maintenance and assurance. The limiting factor is no longer writing code, but understanding complex systems, aligning teams around intent, and safely evolving large, interdependent codebases. In most organizations, specifications exist as static documents, while production systems evolve independently. Context is fragmented across repositories, tickets, logs, reviews, and floating documents making reliable AI adoption difficult. We are building the foundational layer that makes Spec-Driven Development executable at scale. By unifying engineering context and operationalizing the spec as a structured source of truth, we enable AI systems to reason with architectural awareness rather than surface-level code completion. We are already working with large enterprise customers, including Fortune 500 organizations. This milestone allows us to deepen those partnerships and support more teams transitioning from experimental AI usage to structured, production-grade AI-first engineering workflows. If you are leading engineering at scale and evaluating how AI should integrate into mission-critical systems, we would love to chat with you!

Aditi Kothari

42,020 просмотров • 8 месяцев назад