That means developers will soon be able to run MLX models directly on NVIDIA GPUs, which is a pretty big deal. Here’s why.

The cycle begins again. Creative lead rushes over with that familiar panicked expression. “We need graphics for tomorrow’s client demo!” Guess who just won the assignment? Pull up your usual ...

Sunil Anumandla stands as a distinguished technology leader with over 15 years of comprehensive experience in revolutionizing ...

The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. We are now looking for: ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes.

Code smells are design flaws that reduce the software quality and maintainability. Machine learning classification models have been used to detect different code smells. However, such studies targeted ...

In software engineering, code transforms from human-readable high-level languages like Python or Java into machine-readable binary (machine code). An intermediate step, bytecode, bridges ...