Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...

Stop blaming "the algorithm" for bias; without a rigorous trust scoring framework, your AI is just a high-speed engine for spreading automated inequality.

Three experts provide real-life use cases demonstrating AI and automation in finance and offer advice on costs, employee ...

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

So traders have adapted. Because they cannot trust most dark algos, they use them as tools rather than algorithms. They ...

AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.

Enterprise software has accumulated forty years of data about business outcomes. It has captured almost none of the reasoning ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

New Platform Capabilities Support Gartner’s Call for a Cryptographic Center of Excellence The Phio TX CMC gives ...

AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.