One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...
OppFi’s reliance on a bank‑partnership model exposes it to ongoing “true‑lender” litigation and potential rate‑cap ...
A newly issued manual foreshadows the coming difficult relations that may arise between companies and 'platform workers' – as ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
AI smart glasses market is expected to reach USD 7.2 billion by 2034, growing from USD 2.3 billion in 2024, at a CAGR of ...
XXKK Exchange, a world digital asset platform, has announced the introduction of a new-generation AI-based anti-fraud system ...
Morning Overview on MSN
Autonomous AI Agents Build and Deploy Code Independently
In recent years, the development of autonomous AI agents capable of independently building and deploying code has gained ...
Introduction Mental health issues such as depression and anxiety are highly and disproportionally prevalent among university ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback