Some manufacturers are using single-channel memory to keep prices low - but it can have big repurcussions for performance.

Due to time and resource limitations, units are rarely able to achieve and sustain fully trained proficiency in all ...

Robots with increasingly precise dexterity are becoming essential in everyday life and industrial settings, from assembling tiny smartphone components to assisting doctors in surgery. However, ...

Artificial intelligence is profoundly redefining workplace performance, shifting evaluation from effort and hours to value ...

We often judge success by comparison with others, but evidence shows that knowing our actual scores affects emotions and self ...

Abstract: Current adversarial attacks pose a serious threat to the robustness of visual-language models (VLMs), including vision-language pre-trained models (VLPMs) and multimodal large language ...

On Tuesday, Nature released two papers describing AI systems intended to help scientists develop and test hypotheses. One, Google’s Co-Scientist, is designed as what they term “scientist in the loop,” ...

AI automation typically requires task-level fixed costs, such as model training or fine-tuning. We develop a quantitative task-based framework in which automation depends jointly on relative marginal ...

A cutting-edge large language model (LLM) outperformed human doctors in common clinical reasoning tasks including emergency room decisions, identifying likely diagnoses, and choosing next steps in ...

Section 1. Purpose. The American people expect their Government to operate with integrity, efficiency, and transparency. For too long, Federal procurement has tolerated unpredictable costs, bloated ...

Abstract: Pre-training & fine-tuning can enhance the transferring efficiency and performance in visual tasks. Recent delta-tuning methods provide more options for visual classification tasks. Despite ...

Vision-language models (VLMs) use images and text to plan robot actions, but they still struggle to decide what actions to take and where to take them. Most systems split these decisions into two ...