The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

New tool combines biological knowledge with machine learning to help researchers extract meaningful insights from complex ...

Apple backs a project to add Nvidia CUDA support to its MLX framework, enabling a cost-effective 'develop on Mac, deploy on ...

AWS upgraded its SageMaker platform to offer more observability and streamlined functions to make AI model inference and training easier.

I n the world of technology, open source refers to software which is made publicly available, and is free for anyone to use or modify. It is a very popular approach to software development, enabling ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

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 ...

Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These include ...

Discover the best open-source machine learning libraries in 2025. Explore powerful tools like TensorFlow, PyTorch, and Scikit-learn to advance your projects.

Cybersecurity researchers have disclosed multiple security flaws impacting open-source machine learning (ML) tools and frameworks such as MLflow, H2O, PyTorch, and MLeap that could pave the way for ...