Category: Machine Learning

Apple is advancing AI and ML with fundamental research, much of which is shared through publications and conference participation to accelerate progress in this important field and support the broader community. This week, the 14th International Conference on Learning and Representations (ICLR) will be held in Rio de Janeiro, Brazil. Apple is proud to once […]

Researchers from Google DeepMind, BIFOLD, and the Technical University of Berlin in Berlin have introduced a new machine learning method that can more efficiently represent global atomic interactions in chemical systems. In the future, this could enable more accurate simulations of chemical and materials science processes, accelerating the development of new drugs, more efficient batteries, […]

The benefits of artificial intelligence are relatively easy to measure and can quickly be seen in reduced headcount and increased production. The costs are hard to see and can take years to become visible. When routine work is automated, the first roles to be filled are often the most junior. While it makes sense on […]

The Greek philosopher Heraclitus once said, “The only constant is change.” These prophetic words are every bit as applicable to today’s machine learning technology as they are to the ever-changing ancient rivers that inspired his wisdom some 2,500 years ago. Machine learning is evolving at a dizzying speed. Early ML implementations focused on predictions and […]

image: GAIA team collars a lion in Etosha National Park view more Credits: Photo by Jon A. Juarez Roaring over long distances is an important lion behavior. They use unique sequences of moans and growls to communicate within their pride as well as with other animals. Scientists from the GAIA Initiative published their machine learning […]

hug face We launched ML Intern, an open source AI agent that autonomously explores, writes, and executes machine learning code. Early benchmark results show better performance. antropic Claude Code for Scientific Reasoning and OpenAI’s Codex for Medical Evaluation. The project was built by Hugging Face’s AI agent team and is pitched as an automated version […]

Running the agent requires resolving a long list of infrastructure issues before testing the suitability of the agent itself. Connecting frameworks, storage, authentication, and deployment pipelines means that by the time the agent handles its first real task, you’re spending days on infrastructure rather than agent logic. We built AgentCore from the ground up to […]

Many organizations are archiving large media libraries, analyzing contact center recordings, preparing training data for AI, or processing on-demand video for closed captioning. As data volumes increase significantly, the cost of managed automatic speech recognition (ASR) services can quickly become the primary constraint to scalability. To address this cost and scalability challenge, we use the […]

Heart failure with preserved ejection fraction (HFpEF) in hypertrophic cardiomyopathy (HCM) has been identified as a major independent predictor of adverse outcomes in a new large-scale machine learning-powered study, highlighting an under-recognized high-risk patient subgroup. HCM is a genetic heart disease characterized by abnormal thickening of the myocardium and has long been associated with a […]

There are many ways to earn a $300,000 salary working with AI on Jane Street. On the other hand, you can become an AI researcher building machine models. The other is to become a “master educator” who can teach people at Jane Street how to use machine learning in practice. Please choose. Electronic trading companies […]