Three startlingly relevant science fiction stories predict today's most pressing questions about AI's role in life and work.

She has emerged as a recognized data scientist who has carved out a niche through her course of professional development and ...

As the "black-box" problem creates challenges for AI, explainable AI can help reshape business-to-business operations by ...

Scientific Computing World is hosting a virtual roundtable in February for research leaders, scientists and R&D experts in drug discovery, particularly those working with new modalities, such as RNA ...

SAP's new AI-driven data platform integrates SAP and non-SAP data, breaks silos, and enables next-gen automation with Joule ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions.

This partnership aims to revolutionise climate predictions, enhance weather forecasting, and improve ocean monitoring through ...

Netris, an innovative software company specializing in cloud-like network automation and abstraction, is excited to announce a partnership with XENON Systems, a premier high-performance computing and ...

Airbyte, the leading open-source data movement platform company, today became the first open data movement technology to offer customers predictable pricing based on capacity ? rather than data ...

Approach AI with curiosity, not fear,' says Celia Quillian in her new book, AI for Life. We sat down with her to get some practical AI advice for beginners.