IBM was early to AI with Watson and is still heavily invested in quantum computing. But Arvind Krishna is confident these bets will pay off.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The key is to balance offense and defense. by Leandro DalleMule and Thomas H. Davenport More than ever, the ability to manage torrents of data is critical to a company’s success. But even with the ...

Using data analytics – and, ironically, some artificial intelligence – a team at Cornell University has mapped the environmental impact of AI by state. They published their results in the journal ...

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Lift, Drag, Computational Fluid Dynamics, Energy Analysis, L/D Efficiency Share and Cite: Suppes, A. and Suppes, G. (2025) ...