Nvidia dropped nearly 2% ahead of Wednesday’s earnings where investors will scrutinize CEO Jensen Huang’s comments about $500 billion in future business. Despite recent tech sell-offs, some analysts see a year-end rally coming. The AI sector remains on edge as expectations collide with reality.
Lawrence Berkeley researchers performed the largest-ever quantum chip simulation using almost all of Perlmutter supercomputer’s GPUs. The 24-hour run modeled a tiny 10mm chip with 11 billion grid cells, capturing physical details never before simulated at this scale.
Scientists have developed an AI that can identify chemical patterns left by ancient life in rocks. The system detected biological signatures in 3.3-billion-year-old samples and pushed back evidence of photosynthesis by 800 million years. This approach could transform the search for life on Mars and
América Móvil spends $8-9 billion annually on infrastructure while taking a pragmatic approach to AI adoption. Chief Digital Intelligence Officer Andrés Vázquez explains his “venture capital without capital” strategy for finding and scaling the right technology solutions.
Microsoft and NVIDIA are deepening their partnership to push agentic AI into mainstream business operations. The companies announced expanded GPU support and new microservices at NVIDIA GTC Washington, D.C. conference in October.
Small businesses are embracing AI for HR tasks like benefits administration, but new data reveals a troubling trust gap. Employee concerns about AI bias and privacy have jumped dramatically, forcing companies to reconsider where automation makes sense.
Exowatt just raised $50 million to scale its thermal battery technology specifically for power-hungry AI data centers. The company claims a staggering 90GWh commercial pipeline as data centers desperately seek alternatives to constrained power grids. This funding extension comes just months after th
Anthropic is taking Claude directly to college campuses through sponsored AI clubs. Students get free Claude Pro subscriptions and API credits while learning to build with the AI. The strategy aims to create loyal users early in their careers.
Microsoft, Alphabet, Amazon and Meta are spending unprecedented billions on AI infrastructure while reporting strong growth. But Tencent’s approach reveals an alternative model that might be more sustainable long-term. The AI super-cycle is officially here, but profitability remains the ultimate tes
Companies are aggressively cutting entry-level positions to deploy AI, with job postings down 35% since 2023. But experts warn this creates a “talent doom cycle” that could cripple future leadership pipelines. The short-term savings might cost companies their future.
