New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...

You will be working together with other Machine Learning Engineers and Data Scientists. Together, you will shape the GenAI platform so either Eneco internal employees or external consumers can benefit ...

Overview: NLP is widely used in sentiment analysis, chatbots, and content classification.Data scientists combine NLP with ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Nvidia also believes that future progress of AI will be fueled by contributions in the open-source community. In an interview ...

As recent artificial intelligence (AI) models' capacity to understand and process long, complex sentences grows, the necessity for new semiconductor technologies that can simultaneously boost ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...