The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

PCWorld reports that Claude AI users are adopting “caveman” prompting techniques to reduce token consumption by stripping ...

Among the many steps along the road to high-performance AI, one of the most important was taken in 2007 by Fei-Fei Li, then an assistant professor in Princeton’s computer science department. Using ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...

MIT researchers tracked activity across a worm’s entire nervous system, revealing how odors trigger intentional navigation.

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

A new study suggests that four psychoactive compounds work in surprisingly similar ways, and that they break down the ...

Artificial intelligence infrastructure startup Parasail Inc. today announced that it has raised $32 million in early-stage ...

The most impactful update is that clicking links in AI Mode will see the resulting webpage open up alongside the artificial ...