The importance of AI and machine learning to construction continues to grow year on year. This year we asked consultants for ...

Technology is advancing at an unprecedented rate, and terms like “machine learning”, “deep learning”, and “neural networks” ...

DeepSeek-R1 uses reinforcement learning to teach reasoning, showing potential for AI to develop intelligence without human ...

A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book’s 14 chapters feature ...

AI systems rely on human labour from developing countries for data annotation, training, and quality control, raising concerns about exploitation.

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...

Healthcare Innovation speaks with Columbus Community Hospital’s Mark Howerter, M.D., and Mark Pratt, M.D., CMO for EHR vendor ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Elite sports have long been deploying artificial intelligence (AI) and computer vision to gain vital data to improve player ...

Yann LeCun, Chief AI Scientist at Meta, believes LLMs are doomed due to their inability to represent the high-dimensional ...