Lance Fortnow on the current status and future outlook of solving the P-NP problem.

AI didn’t just automate coding — it made software unserviceable, accountability fuzzy and risk-scalable, while boards pretend governance has it covered. Since the internal combustion engine’s arrival, ...

When Ryan Williams plugged a novel technique developed to test the bounds of a key part of complexity theory into his own framework, he found the result hard to believe. The Massachusetts Institute of ...

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 ...

TCT 192: Prediction of 2-Year Target Lesion Failure by Final OCT Minimal Stent Area in Cases of In-Stent Restenosis Receive the the latest news, research, and presentations from major meetings right ...

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 ...

ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...