ICE has been using an AI-powered Palantir system to summarize tips sent to its tipline since last spring, according to a ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

In this piece Rajat Kochhar of Ericsson's CTO office looks at the possibilities quantum AI offers for the telecoms space.

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for future careers.Employers are ...