Startups developing data centers to power AI are among the most capital-hungry businesses around right now. Many are raising billions of dollars in equity and debt to build complicated ...
This investigation was supported by the Pulitzer Center’s Artificial Intelligence Accountability Network Investigative ...
Ultralytics Debuts Ultralytics Platform: The Definitive Way to Annotate, Train, and Deploy Vision AI
Ultralytics, the company behind the YOLO family of object detection models, today introduced Ultralytics Platform, a comprehensive end-to-end vision AI platform featuring powerful SAM-powered smart ...
I test-drove both. Here’s what I learned. In early March, OpenAI unleashed a one-two punch, dropping two major frontier models just days apart.
Mistral Forge gives enterprises a way to train and adapt AI models on proprietary data, with more control over deployment, privacy, and compliance.
Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.
At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...
How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.
Abstract: Federated learning (FL) presents a promising paradigm for decentralized machine learning, particularly well-suited for data-sensitive cyber-physical systems (CPS) where privacy preservation ...
Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.
XDA Developers on MSN
Qwen3.5-9B tops every AI benchmark right now, but that's not how you should pick a model
There's a lot more to a model than just benchmarks.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results