Machine learning is often used to predict future values from data. But what if, instead of just predictions, you could ...

Researchers have released qmatmul, a Python package whose algorithm halves the floating-point multiplications needed for ...

No rank certificate achieving the 9/4 bound has been found in our experiments. There is no measured 9/4 matrix multiplication result in this repository. The paper proves that, for every positive ...

When I first started using scikit-learn and PyTorch for work, I was able to "run" models. I would load data, preprocess it, and call fit. If I got good accuracy, I was happy; if not, I would tweak the ...

A technology enthusiast, Bobby studied Computer Science at the University of Southampton before working in a number of roles across industries, from the private sector to the charitable one, at ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

We introduce native Arrow UDFs, which operate directly on Arrow data, eliminating the Pandas/Arrow conversion overhead in Pandas UDFs for faster execution and lower memory usage. We also describe ...

Modern deep learning frameworks hide optimized C++, CPU, and accelerator kernels behind high-level tensor and training APIs. That abstraction is wonderful for shipping products, but terrible for ...

Mac with Apple silicon is increasingly popular among AI developers and researchers interested in using their Mac to experiment with the latest models and techniques. With MLX, users can explore and ...

A car engine doesn't burn fuel at a constant rate. At low RPM, efficiency climbs. Around mid-range, it plateaus. Push past the redline and consumption spikes. Plot engine RPM against fuel efficiency ...