From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Purpose End-to-end ML lifecycle management and MLOps Unified data analytics and business intelligence platform Unified platform for building and deploying AI solutions Model Deployment Supports ...

Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...

In April 2023, a few weeks after the launch of GPT-4, the Internet went wild for two new software projects with the audacious names BabyAGI and AutoGPT. “Over the past week, developers around the ...

Later this year, companies will get a chance to get their hands on Zenda, an Saas that is poised to redefine operational planning and management. MD+DI spoke with Harold Hambrose - Chief Strategy ...

Artificial Intelligence (AI) and Machine Learning (ML) have permeated nearly all sectors of society, and Sport Sciences are no exception. Public discourse about AI tends to be polarized, portraying it ...