After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

A new paper by investigators from Mass General Brigham showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene and cell therapy.

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

AnswerRocket, a pioneer in enterprise AI solutions since 2013, has announced its acquisition of Cognitive Spark, a specialized data science firm with a focus on innovating advanced machine learning ...

To help organizations unlock the full potential of their data for the AI era, IBM is unveiling IBM Db2 12.1.2, the latest iteration of its flexible, AI-powered database. Posted May 07, 2025 Neo4j ...

Also, there is currently no defined framework to help decide who is responsible when a machine learning algorithm or a robotic system designed to use these tools gets things wrong. Is the end user (ie ...

By the end of this book, you will be able to take a large raw dataset, clean it, manipulate it, and run machine learning algorithms to obtain results that influence business decisions. Data Science ...

Welcome to the profile of the bio-image analysis technology development group (BiAPoL) at Physics of Life / TU Dresden. We provide services and tools for the analysis of microscopy images in the life ...