Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, ...

From implementing KNN, PCA, and clustering to applying deep learning and scientific tuning, these resources show how to build, refine, and optimize machine learning models. They combine hands-on ...

If OpenAI can accidentally train its flagship model to obsess over goblins, what other more subtle and potentially harmful ...

Google Colab has grown into a powerful, AI-enhanced platform for Python coding, data analysis, and machine learning. With free GPU/TPU access, collaborative editing, and AI tools like the ...

Voyager visual developer workspace, MCP Server, and AI-optimized SDKs combine to go from first cluster to first query in as little as five minutes ...

Valve announced a new Steam Machine this week, and while I think it’s going to have a major impact on the next generation of gaming hardware – however PC-like that looks – there’s still one big ...

Oscar Gonzalez is a Texas native who covered video games, conspiracy theories, misinformation and cryptocurrency. Valve dipped its toe into the hardware business when it released the Steam Deck ...

Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using massive models, thanks to pooling memory resources over Thunderbolt 5. One month ...

The Steam Machine was announced just over a week ago now, and while we don’t know how much the Steam Machine will cost, we also don’t know when it’s actually going to come out. Right now, the only ...

Who needs a revamped Mac Pro when you can just turn several Mac Studios into a unified computing system? With the upcoming macOS Tahoe 26.2 release, Apple is introducing a new low-latency feature that ...

Introduction: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, with varied clinical outcomes driven by hemodynamic states, and initial presentation. However, unsupervised machine learning ...