Machine Learning / A subfield of AI that uses algorithms to automatically “train,” or improve the performance of, other algorithms. In one popular approach, a mathematical function first measures how ...

Architectures and algorithms. AI algorithms need enormous amounts of data processing compared to traditional computing workloads. This requirement stretches (or breaks) the limits of traditional Von ...

Inside Google’s 0.7% efficiency boost: How AI-crafted algorithms run the company’s data centers AlphaEvolve has been quietly at work inside Google for over a year. The results are already ...

The Algorithmic Status Quo. AI models based on historical data reveal significant flaws when applied to current applications. Static structures within these algorithms cause them to ...

Ultimately, successful AI adoption depends far less on mastering the latest tools or algorithms and far more on intentionally strengthening the foundational human elements essential to change ...

The AI suggested a change to the scheduling heuristics, which has been implemented to save Google 0.7 percent on its computing resources globally. For a company the size of Google, that's a ...

The SEMI Smart Data-AI Initiative, together with the SEMI Future of Computing Think Tank, is working to help the industry address these challenges. “To unlock the full potential of AI, innovation is ...