Though large language models remain popular, IT decision-makers are increasingly trying out smaller, open models that may be a better fit for enterprise AI needs.
AI is entering its diffusion phase, and the microeconomic pressures driving that transition are operating with unusual speed.
Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...
Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...
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New AI model reads the language of genes to detect diseases faster
Artificial intelligence has transformed how computers understand human language. Now, scientists at the Icahn School of ...
Researchers at the Asian Development Bank found that advanced AI models like Gemini 2.5 Pro can significantly speed up ...
Google Research unveils SensorLM, a foundation model trained on 59.7 million hours of Fitbit and Pixel Watch data that ...
Artificial intelligence tools and large language models are being deployed in infectious disease and critical care at a rate that outpaces the evidence base ...
A Science study finds modern large language models often match or exceed physicians in emergency room diagnostic decisions, ...
Artificial intelligence has grown commonplace in higher education, with some students using it to assist with learning and professors often acknowledging or integrating it into their classes. The ...
In a region still chasing hyperscalers, the more immediate challenge, especially for cross-border enterprises, is how to deploy AI safely, compliantly, and at scale.
Airbnb Inc. Chief Executive Officer Brian Chesky defended his company’s use of Chinese artificial intelligence models, saying ...
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