AI news, roundups, and analysis from Report AI — each story tied back to the primary-source statistics behind the headline. New analysis is published here as major AI data, funding, and policy events break. For the full set of sourced, dated AI numbers, browse the Library at report-ai.org/library/.
The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology.
Source: MIT News – Artificial intelligence
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For more than a decade, artificial intelligence has been touted as a way to dramatically accelerate drug discovery. Yet despite billions of dollars in investment, relatively few AI-designed medicines have made it to patients. That’s partially because the timelines for careful drug testing can’t be…
Source: IEEE Spectrum
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OpenAI’s fourth large language model (LLM), GPT-4, took an estimated 50 gigawatt-hours to train, or the equivalent of 5,000 American homes’ yearly power consumption. That was in 2023. Since then, the computational resources used to train frontier LLMs have only increased, though direct power usage…
Source: IEEE Spectrum
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Here are Google’s latest AI updates from May 2026
Source: AI
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Source: The Berkeley Artificial Intelligence Research Blog
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Source: The Berkeley Artificial Intelligence Research Blog
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<!– –> Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process more transparent to model builders and impacted humans, a step toward safer and more…
Source: The Berkeley Artificial Intelligence Research Blog
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