Meta Tells Its Metaverse Workers to Use AI to ‘Go 5X Faster’
A Meta executive in charge of building the company’s metaverse products told employees that they should be using…
This Startup Wants to Spark a US DeepSeek Moment
Ever since DeepSeek burst onto the scene in January, momentum has grown around open source Chinese artificial intelligence…
How to Build a Powerful Deep Research System
is a popular feature you can activate in apps such as ChatGPT and Google Gemini. It allows users…
Operationalizing machine-assisted translation in healthcare
Rawal, S. et al. Association between limited English proficiency and revisits and readmissions after hospitalization for patients with…
Machine learning enables ‘mind reading’ in mice using facial cues
“Mind reading” often sounds like science fiction. But a new study shows it may only take a simple…
Boosting K-nearest neighbor regression performance for longitudinal data through a novel learning approach | BMC Bioinformatics
Variable-trajectory Let \(y_{it} \in {\mathbb{R}}\) denote the observed response value for the subject \(i \in \left\{ {1, \ldots…
Molecular fingerprint predicts physical fitness in older adults
Could a simple blood test reveal how well someone is aging? A team of researchers led by Wolfram…
Sex estimation from the sternum in Turkish population using various machine learning methods and deep neural networks | Egyptian Journal of Radiology and Nuclear Medicine
Sternum length measurement techniques vary across studies. Some researchers utilized bone collections to measure the sternum [1, 6,…
In a first, scientists observe short-range order in semiconductors
Inside the microchips powering your devices, atoms aren’t just randomly scattered. They follow a hidden order that can…
Nvidia’s $100 billion investment in OpenAI has analysts asking about “circular financing” inflating an AI bubble
Nvidia’s announcement earlier this week that it is investing $100 billion into OpenAI to help fund its massive…
Study identifies key molecular and clinical biomarkers for MASLD
Background and aims The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain…
Multi-label machine learning for power forecasting of a grid-connected photovoltaic solar plant over multiple time horizons
In this study, machine learning algorithms are employed to develop multi-label forecasts of the PV and AC power…