In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for sound target detection (STD), featuring a neuroanatomy-informed EEG ...

Urban life increasingly depends on intelligent systems, because they manage both infrastructure and public services. For ...

Strategic brand consolidation aligns global computing innovation and technical support for next-gen Edge AI solutions amid demand for accelerated AI computing This strategic decision streamlines ...

All the co-founders graduated in 2017 and chose to start Exeliq instead of taking jobs. They had worked together in college ...

Expect the unexpected, the saying goes, and that was certainly true in 2025. President Donald Trump was a major source of global and domestic disruption, but the year’s instability was also driven by ...

Psychiatrists are sounding the alarm about a new pattern they are seeing in clinics and emergency rooms: people who spend ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...