Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own, but experts ...

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By ...

Bahrain’s state energy company Bapco is partnering with US oilfield services giant SLB and US AI startup Geminus to squeeze ...

My best guess is that, like gunpowder and the internal combustion engine, AI is a mixed blessing and a nuanced curse.

The clever Bean Adapt system built into this $2,500 machine allows it to automatically craft perfect coffee drinks with ...

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 ...

Texas Instruments MSPM0G5187 and AM13Ex are two new microcontroller (MCU) families featuring the company’s TinyEngine neural processing unit (NPU) to enable low-latency, high-efficiency Edge ...

Leveraging ML models to directly learn network flow configurations from empirical data can deliver robustly high performance, surpassing that of demand-prediction methods. To gain a deeper theoretical ...

Abstract: Deep learning-based traffic prediction models require vast amounts of data to learn embedded spatial and temporal dependencies. The inherent privacy and commercial sensitivity of such data ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

Lateral flow immunoassays (LFIAs) provide rapid point-of-care results but lack quantitative capabilities. This study presents a platform technology integrating full-spectrum analysis (400-700 nm) with ...