AI Struggles to Emulate Historical Language

A collaboration between researchers in the United States and Canada has found that large language models (LLMs) such as ChatGPT struggle to reproduce historical idioms without extensive pretraining – a costly and labor-intensive process that lies beyond the means of most academic or entertainment initiatives, making projects such as completing Charles Dickens’s final, unfinished novel…

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Private AI: The Next Frontier of Enterprise Intelligence

Artificial intelligence adoption is accelerating at an unprecedented pace. By the end of this year, the number of global AI users is expected to surge by 20%, reaching 378 million, according to research conducted by AltIndex. While this growth is exciting, it also signals a pivotal shift in how enterprises must think about AI, especially…

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AI Data Centers: Addressing Growing Power Demands

The AI revolution is in full swing, and that means a lot more data centers; industry experts predict a 33% increase in the number of data centers through the end of the decade. And with that increase will come an increase in electricity usage. Some states could see data centers account for as much as…

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Why Data Is the Unsung Hero of AI Strategy

The AI Gold Rush – From Pilots and Experiments to Enterprise Scale and Strategy Moore’s Law is well and truly in play when it comes to AI. AI is heavily in demand, and every enterprise is adopting AI. Innovation is also helping fuel this demand with new AI models, AI Agents, and new technologies coming…

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Making AI models more trustworthy for high-stakes settings

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance, in a chest X-ray, pleural effusion, an abnormal buildup of fluid in the lungs, can look very much like pulmonary infiltrates, which are accumulations of pus or blood. An artificial intelligence model could assist the clinician…

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