…In 2017, Manuri Gunawardena was a final-year medical student when she pitched HealthMatch, a machine learning platform matching patients to clinical trials. She won Startup Battlefield Australia. That single moment helped…
…Smartbird aims to be an AI infrastructure provider, latching on to the seemingly bottomless demand for compute to train and run deep learning models. But unlike neoclouds, which relentlessly arbitrage the price…
…Unlike traditional search tools that respond only when prompted, Google’s information agents are designed to operate continuously in the background, 24/7, helping users stay informed about their interests without needing…
…The value comes from connecting with people working through the same challenges and learning from those who’ve already done it. Explore the Disrupt events page to see what’s planned. Who…
…A year on, after operatives with the Elon Musk-led band of government destroyers known as the Department of Government Efficiency (or DOGE) swept through and dismantled federal agencies from the inside…
…Glean’s AI achieves this knowledge — a concept captured by the new, popular term “ context graph ” — by connecting to and learning from enterprises’ internal software systems. Jain claims that Glean’s context…
…s new capabilities will be woven throughout the operating system. The images were produced by Bloomberg based on what it saw and learned from sources. While you’ll still be able to…
…Residential customers and housing societies now account for a majority of SolarSquare’s business, according to people familiar with the startup’s operations, as the startup has increasingly scaled back lower-margin…
…Putnam sees Board as a natural extension of what she learned about consumer hardware while building Mirror. “Mirror was very much about me,” she once told TechCrunch. “It was my reflection, my…
…When fully operational, it will be capable of producing about 2,500 cells per day, or about half a gigawatt-hour per year. It will take batteries developed in small batches — about…