News

Researchers explore machine learning to automate early modern text transcription ethically
In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...
Apple Silicon machine learning code may become more easily portable to Nvidia hardware
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple ...
From The Cloud To The Edge: Federated Machine Learning Is Moving AI Closer To Where It Is Used
The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.
Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
Apple’s machine learning framework is getting support for NVIDIA’s CUDA platform
That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.
Frontiers2d
Machine Learning for Large-Scale Data Processing: Algorithms and Applications
In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...
The Scientist9h
Accelerating Recombinase Reprogramming with Machine Learning
SeamlessTx is addressing this challenge with a unique platform that integrates large-scale directed evolution and machine learning (ML)-driven models to predict recombinase variant activity and ...
UC San Diego Today2d
When the Stakes are High, Do Machine Learning Models Make Fair Decisions?
Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...