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.

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

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 ...

Netflix’s big streaming rival isn’t another normal streamer. It’s an everything app that practically everyone uses.

The courses are aimed at equipping students, educators, and professionals with essential AI and data science skills across diverse fields such as sports, education, science, and finance.

Emerson Colindres, 19, was detained during a routine check-in with ICE in June and then sent back to Honduras. Local nonprofit prepares for 'crisis mode' as people prepare to lose SNAP benefits Tens ...

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...

First, pick your designation of choice. In this case, it’s Google’s Professional Machine Learning Engineer certification. Then look up the exam objectives and make sure they match your career goals ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...