For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.
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 ...
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AI and the fallacy of easy money

I overheard a group of young graphic designers excitedly talking about a newly released AI tool.
By Nir Eisikovits and Jacob Burley The Conversation Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students use chatbots to write ...
Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...