Topic: ai materials discovery
-
AI whack-a-mole: Discovered Materials hunts cooler chips
Discovered Materials, a Y Combinator alum, raised a $9 million seed round led by Lightspeed India Partners to use AI agents for discovering novel semiconductor materials that address AI-driven chip overheating. The startup differentiates itself by focusing exclusively on thermal limitations, scre...
Read More » -
CuspAI partners with Nvidia and Meta to advance AI materials
CuspAI launched the AI Materials Foundry, a coalition of over 45 companies including Nvidia, Meta, and Samsung, to pool data and computing power to accelerate novel material design from years to months. The startup secured a $450 million Series B funding round led by Kleiner Perkins and NEA, valu...
Read More » -
Orbital Industries lands $50M Series B for AI-powered data center hardware
Orbital Industries has raised $50 million in Series B funding led by Plural, with participation from Nvidia's NVentures, to commercialize a PFAS-free dielectric cooling fluid and modular high-density data-center infrastructure, targeting the needs of next-generation GPU deployments. The company p...
Read More » -
Microsoft and IBM Use AI to Revolutionize Battery Tech
Artificial intelligence is accelerating the discovery of new battery materials, as demonstrated by Microsoft researchers who identified a substance reducing lithium use by 70% from 32 million candidates in under 80 hours. Scientists are using AI to develop safer, more efficient batteries with abu...
Read More » -
The Download: AI Hype vs. Reality
The AI discourse is shifting from speculative hype to a more grounded, practical assessment of its true capabilities, limitations, and real-world applications. Key areas of scrutiny include AI's role as an augmentative tool rather than a replacement for human expertise and the need to address eth...
Read More » -
Time to Reset Our AI Expectations
The article introduces a series called "Hype Correction" that confronts the gap between AI's revolutionary promises and the current reality of underwhelming outputs and tools, questioning if expectations were misaligned. It critically examines AI's lasting value, weighing massive investments and ...
Read More »