A breakthrough in neuromorphic computing could dramatically shrink chip size and cut energy use by several orders of magnitude. Researchers have created artificial neurons that physically replicate the brain’s electrochemical processes rather than just simulating them.
Researchers have found that dormant “junk” DNA can be weaponized to fight stubborn blood cancers. This discovery opens new treatment pathways using existing drugs against previously untargetable mutations.
Sam Altman’s testy response to revenue questions reveals more than just financial figures. The OpenAI CEO’s defensiveness points to growing pressure as the company faces trillion-dollar spending commitments against uncertain revenue streams.
Organizations that treat AI as just another software tool are missing the fundamental shift happening in business operations. The real transformation isn’t technical—it’s organizational design that redefines roles, responsibilities, and value creation.
OpenAI’s staggering $11.5 billion quarterly loss reveals the astronomical costs of training and running advanced AI models. With revenue projections dwarfed by expenses, the AI industry faces fundamental questions about its economic viability.
A Carnegie Mellon professor now holds unprecedented authority over AI safety at OpenAI. His committee can stop dangerous AI releases, but can he balance innovation with existential risks?
Inspired by Halloween decorations, researchers have developed artificial spiderwebs that capture airborne DNA as effectively as natural webs. This innovation could transform how we monitor land-based species without harming ecosystem balance.
As tech giants pour hundreds of billions into AI infrastructure, the Sustainable Development Goals face a $4.2 trillion funding gap. The collision between speculative technology investment and human development needs represents one of our era’s defining moral challenges.
Google’s NotebookLM generates brilliant insights but fails at long-term knowledge management. An open-source solution reveals the fundamental gap in today’s AI tools and how users are patching the holes themselves.
New research shows that as AI models become more advanced, they become dramatically less cooperative. This selfish behavior could undermine trust in AI systems used for mediation, counseling, and daily decision-making.
