There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...
The headlines are scary, reporting one round of mass layoffs after another from companies including Amazon, Microsoft, HP, General Motors, and UPS ...
IEEE Spectrum on MSN
AI’s math tricks don’t work for scientific computing
Low-precision number formats don’t suit many simulations ...
At the very recent India AI Impact Summit 2026, the country unveiled its own AI chatbot, called the Indus AI. While OpenAI’s ...
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