The conversion of large-scale, complex mass spectrometry data into meaningful structural insights through ChemEcho, a machine learning embedding method, published in August by investigators at ...

We accomplished all of the goals that we set at the beginning of 2025, including: ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Abstract: Uncrewed aerial vehicles (UAVs) are increasingly used in close-range remote sensing due to flexible multiangle observations and high spatial resolution. However, fine-scale surface ...

For Google Home, WeatherNext 2 provides hourly and daily forecasts, along with MetNet and other models, according to Google.

The Withings Body Smart scale measures eight key metrics: It’ll tell you your weight, body fat (including visceral fat) and ...

Objectives Maternal dietary practices are vital for improving maternal and neonatal outcomes. However, comprehensive ...

Relying on open-source intelligence, the cell represents a departure from paper-based scrutiny towards real-time observation ...

What is Web3 middleware? Know the invisible infrastructure - RPCs, indexing protocols, and APIs, that powers decentralized ...

The quiz was repeated after 1 month to evaluate retention. Subjective assessments of learning methods that is, user satisfaction, probability of recommendation, perceived difficulty, and perception of ...

Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...

A new data structure and compression technique developed by engineers at UC San Diego enables the field of pangenomics to handle unprecedented scales of genetic information. Illustration by Alice ...