Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

A survey of over 1,000 enterprises conducted by S&P Global Market Intelligence in 2025 revealed that 42% of companies ...

Studies suggest AI can unlock $1.3-2 trillion in annual value across global supply chains through efficiency gains, risk reduction, and improved decision-making.

A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...

Learn about a global citizen science project that crowdsources real-time aurora sightings.

AI in advertising has gone from a buzzword to a full disruptor in what feels like just a few months. If CES was any indication, there is no sign of this slowing down. Yet, although everyone’s talking, ...

Type a sentence into the input bar at the top of the Serial Monitor and hit Enter to send it to the Wit.ai API. The console will log " Requesting TTS " followed by " Buffer ready, starting playback ," ...

At the sidelines of the India AI Impact Summit, ETBrandEquity caught up with Metasports, a gaming company that targets India’s high-net-worth armchair cricketers with an ad-free, AI-driven model. This ...

Advanced forecasting tools are already improving solar and demand predictions by over 30%,' writes Schneider Electric's Frédéric Godemel.

PM Narendra Modi, at the India AI Impact Summit 2026, hailed AI as India's future, not a source of fear. He advocated for human-centric AI, global standards to tackle deepfakes, and democratization to ...