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The current @SciSpace suite includes a user platform and a collection of AI tools for two major agents (supported by over 600 agents in total):
● SciSpace Agent — A wide-spectrum research assistant that handles end-to-end research tasks.
● BioMed Agent — A comprehensive AI
ENTERPRISE AI
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SciSpace launches research and Biomed AI agents within agent suite
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AMD CEO Lisa Su Drives Global AI Computing Infrastructure
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Dr. Lisa Su, Chair and CEO, AMD, is driving the global compute foundations that make large-scale AI deployment possible. Through open platforms, ecosystem collaboration and advanced processing technologies, AMD is enabling AI adoption across industries and geographies. In the
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No useful AI use case found in mainstream Microsoft products
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Meanwhile I have not seen a *single* useful use case of ANY AI working inside of ANY mainstream Microsoft products.
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AI Will Reveal True Added Value of White-Collar Workers
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Oui. L'IA va mesurer la vraie valeur ajoutée de chacun au travail. Pour beaucoup de cadres en costume dans des tours, on se rendra compte qu'elle est de zéro voire négative.
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Mistral AI: Sovereign Intelligence Over Big Tech Dependency
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While Silicon Valley obsesses over AGI, @MistralAI is betting that big enterprises and sovereign nations will want to own, not rent, their intelligence
— Matt Turck (@mattturck) 12 février 2026
My conversation with co-founder & CTO Timothee Lacroix (@tlacroix6), for his first US podcast ever
Was reminded during this… pic.twitter.com/yLEExuGG7GWhile Silicon Valley obsesses over AGI, @MistralAI is betting that big enterprises and sovereign nations will want to own, not rent, their intelligence My conversation with co-founder & CTO Timothee Lacroix (@tlacroix6), for his first US podcast ever Was reminded during this conversation that Mistral is barely 2.5 years old – remarkable 00:00 — Intro 01:27 — Mistral vs. The World: From Research Lab to Sovereign Power 03:48 — Inside Mistral Compute: Building an 18,000 GPU Cluster 08:42 — The Trillion-Dollar Question: Competing Without a Big Tech Parent 10:37 — The Reality of Enterprise AI: Escaping "POC Purgatory" 15:06 — Why Mistral Hires Forward Deployed Engineers (FDEs) 16:57 — The Contrarian Take: Why "Agents" are just "Workflows" 19:35 — Trust & Autonomy: The Truth About Agent Reliability 21:26 — The Missing Stack: Governance and Versioning for AI 26:24 — When Will AI Actually Work? (The 2026 Timeline) 30:33 — Beyond Chat: The "Banger" Sovereign Use Cases 35:46 — Mistral 3 Architecture: Mixture of Experts vs. Dense 43:12 — Synthetic Data & The Post-Training Bottleneck 45:12 — Reasoning Models: Why "Thinking" is Just Tool Use 46:22 — Launching DevStral 2 and the Vibe CLI 50:49 — Engineering Lessons: How to Build Frontier AI Efficiently 56:08 — Are Enterprises Ready for AGI? & The Future of Intelligence
→ View original post on X — @arthurmensch, 2026-02-12 16:31 UTC
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A2A: Agent2Agent Protocol Course for Multi-Agent Systems
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New course: A2A: The Agent2Agent Protocol, built with @googlecloudtech and @IBMResearch, and taught by Holt Skinner, @ivnardini, and Sandi Besen.
— Andrew Ng (@AndrewYNg) 12 février 2026
Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A,… pic.twitter.com/lgEXdqSis9New course: A2A: The Agent2Agent Protocol, built with @googlecloudtech and @IBMResearch, and taught by Holt Skinner, @ivnardini, and Sandi Besen. Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A, the open protocol standardizing how agents discover each other and communicate. Since IBM’s ACP (Agent Communication Protocol) joined forces with A2A, A2A has emerged as the industry standard. In this course, you'll build a healthcare multi-agent system where agents built with different frameworks, such as Google ADK (Agent Development Kit) and LangGraph, collaborate through A2A. You'll wrap each agent as an A2A server, build A2A clients to connect to them, and orchestrate them into sequential and hierarchical workflows. Skills you'll gain: – Expose agents from different frameworks as A2A servers to make them discoverable and interoperable – Chain A2A agents sequentially using ADK, where one agent's output feeds into the next – Connect A2A agents to external data sources using MCP (Model Context Protocol) – Deploy A2A agents using Agent Stack, IBM's open-source infrastructure Join and learn the protocol standardizing agent collaboration! deeplearning.ai/short-course…
→ View original post on X — @andrewyng, 2026-02-12 16:30 UTC
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MIT CSAIL Explores Humanoid Robot Capabilities and Implementation Challenges
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@voxdotcom recently visited MIT CSAIL to see the current capabilities of the lab's robots. Daniela Rus, CSAIL Director & MIT Prof., also discussed the current challenges w/implementing humanoids in settings like factories & homes: "If we’re looking for robots that will work side
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OpenAI releases new instant model, Deep Research, and API enhancements
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wdym? we released a new instant model, 5.2 Deep Research, hosted shell, skills and compaction in the API – all of this in just the last 5 days! there’s never been a better time to build w/ OpenAI
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Does C-suite understand developer work in AI era?
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dev to dev: does the C-suite understand what you do? is AI making that clearer – or less so?
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FAIR + R: Reproducibility Essential for AI Governance Strategy
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We all know FAIR data. But for AI in 2026, @AstraZeneca
's Tiffany Fabianac says we need 'FAIR + R'. Learn why Reproducibility is the missing link in your AI governance strategy. Check out the on-demand webinar on the 2026 Life Science Outlook: https://
domino.buzz/3MhCgZh