Insilico Medicine, an AI-powered drug discovery company, saw its shares surge nearly 25% in its Hong Kong IPO. The listing, backed by giants like Eli Lilly and Tencent, values the firm at over $2 billion. Now, it has to prove its technology can actually get a drug to market.
CES 2026 is shaping up to be an AI hardware extravaganza. Companies are pushing everything from AI-powered smart glasses to humanoid robots, but the gap between flashy demos and real-world usefulness remains a huge challenge.
Tech leaders are sending a clear message to job seekers. In an era of AI and automation, your mindset and enthusiasm are becoming your most valuable assets.
Geoffrey Hinton, the so-called “godfather of AI,” warns the technology is advancing faster than he anticipated. He predicts 2026 will see AI capable of replacing many more jobs, with software engineering in its sights.
Researchers at the Perimeter Institute have created a new public code called KISS-SIDM. It models the complex evolution of self-interacting dark matter halos, structures that host galaxies like our Milky Way, with greater speed and accuracy than before.
Former Yahoo CEO Marissa Mayer is back with a new venture, Dazzle AI. The startup just raised funding at a $35 million valuation and plans to launch its first product within months. Mayer shut down her previous company, Sunshine, to focus on this new AI effort.
TSMC is struggling under the weight of overwhelming AI demand from clients like NVIDIA and AMD. The chip giant faces severe labor shortages and skyrocketing capital spending as it races to expand capacity. This “one-man show” in the foundry market is creating major bottlenecks.
Manufacturing is entering a new era powered by agentic AI. Systems that adapt in real-time are cutting defects and downtime, with giants like BMW and Tesla leading the charge. The financial stakes are massive.
The CEO of software giant Databricks isn’t mincing words about the current AI investment craze. Ali Ghodsi calls the trend of funding companies with zero revenue “clearly a bubble” and “insane,” predicting the situation will deteriorate over the next 12 months.
For a decade, hyper-converged infrastructure ruled the data center. But the unique, massive demands of AI workloads are breaking that model. The future is looking disaggregated, flexible, and far more efficient.
