High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...
The company identified over 100,000 prompts it suspects were intended to extract proprietary reasoning capabilities.
Our Culture Mag on MSN
Shrikrishna Joisa on founding 'AskCupid,' the AI dating coach
Digital romance has become the norm. According to the Pew Research Center, roughly 23% to 30% of U.S. adults currently use or ...
Academics claim that personality traits inferred using AI photo analysis can predict how depicted individuals will fare in ...
Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...
Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...
Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results