Google I/O kicks off with the AI giant facing a stark reality: third place in the foundational model race. This year, all eyes are on a potential coding comeback and subtle but significant scientific strides.
The future of forecasting just got a whole lot longer. AI's latest evolution, Timer-XL, is rewriting the playbook for predicting complex time series data, reaching into vast historical windows with remarkable accuracy.
The age-old problem of AI agents misunderstanding complex scientific data might finally be over. A groundbreaking paper introduces Eywa, a novel framework that allows diverse AI models to collaborate, bypassing the limitations of text-based reasoning.
Everyone thought Bedrock models were set-it-and-forget-it AI magic. Nope— they're on a death march to EOL, and your apps better keep up or crash hard.
Everyone thought AI was all chatbots and code. Wrong. Physical AI models are exploding, with $40B in robotics funding and 70 companies fighting for control of tomorrow's robot overlords.
Your phone's AI assistant? It's running on a foundation model. These massive neural nets, trained on trillions of data points, are quietly transforming how we work and create.
Scientists just got their hands on Evo 2, a beast of a foundation model chewing through 9 trillion DNA nucleotides. NVIDIA's making it dead simple to deploy— but does it live up to the genomic revolution hype?