Hirundo, the first startup dedicated to machine unlearning, has raised $8 million in seed funding to address some of the most ...

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

Apple researchers develop STARFlow, a breakthrough AI image generation system that challenges diffusion models used by DALL-E ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

typically by using artificial neural networks or another programming model. Deep learning, which is a subtype of machine learning, falls into this category. Theory of mind is a hypothetical stage of ...

Herein, we explore the use of machine learning techniques to improve the performance of these immunosensors. We evaluate the influence of various redox probes on the analytical response in detecting ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely ...

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive ...