A major study in Sweden found AI-supported breast cancer screening reduced the risk of developing aggressive interval cancers by 12%. The approach uses software to triage scans, allowing radiologists to focus on high-risk cases. Researchers are thrilled but caution that more trials are needed.
Apple is making a massive $2 billion bet on AI that tracks facial muscle movements, acquiring Israeli startup Q.ai. The deal is led by a familiar face in Apple’s history and is already drawing internal criticism over the company’s ties to Israel.
Yann LeCun has joined the board of Logical Intelligence, a startup building an energy-based reasoning model (EBM) called Kona 1.0. The company claims its approach, which learns rules rather than predicting words, solves problems like sudoku far faster than top LLMs and could be key to layering diffe
Apple has made its second-largest acquisition ever, buying AI audio startup Q.ai for a reported $2 billion. The company’s tech can interpret “silent speech” from facial micro-movements, potentially for future AirPods or Vision Pro.
The latest tech podcast dives into brain-inspired AI chips and a big boost for wireless charging. Both are key for the next generation of smart devices.
Microsoft’s commercial CEO, Judson Althoff, has outlined the company’s 2026 channel strategy. The core plan is to transform its partners into AI-driven “Frontier Firms” using tools like Copilot and Agent 365.
The Economist reports that generative AI has already transformed graduate recruitment, leading to a flood of AI-written job applications. This shift raises fears about machines closing off career paths and forces a rethink of the entire hiring process.
A new AI lab called Flapping Airplanes just launched with a staggering $180 million in seed funding. Its goal is to find less data-hungry ways to train models, betting on research over pure compute scaling.
The Economist’s podcast series is wrapping up with a look at where AI is headed. The penultimate episode features a specific vision of the coming years, built from the experiences of four early adopters.
Nvidia is putting $2 billion into cloud provider CoreWeave to help build a massive network of AI data centers. The goal is to develop over 5 gigawatts of capacity by 2030, a huge power commitment. However, some research suggests the industry’s infrastructure demands might be overblown.
