AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Prototyping is natural. New smartphone concepts are tested ...

import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...

try to run a simple inference test, but see non-deterministic results. # example from dino notebook, test on a small image n_layers = MODEL_TO_NUM_LAYERS[model_name] with torch.inference_mode(): with ...

HONOLULU (KITV) — A live snake was found in the backyard of a Kaimuki homeowner on Sunday night. According to the Hawaii Department of Agriculture (HDOA), the homeowner said he saw the snake in the ...