Latest from MIT : MIT researchers advance automated interpretability in AI models

As artificial intelligence models become increasingly prevalent and are integrated into diverse sectors like health care, finance, education, transportation, and entertainment, understanding how they work under the hood is critical. Interpreting the mechanisms underlying AI models enables us to audit them for safety and biases, with the potential to deepen our understanding of the science…

Latest from MIT : Proton-conducting materials could enable new green energy technologies

As the name suggests, most electronic devices today work through the movement of electrons. But materials that can efficiently conduct protons — the nucleus of the hydrogen atom — could be key to a number of important technologies for combating global climate change. Most proton-conducting inorganic materials available now require undesirably high temperatures to achieve…

Latest from MIT Tech Review – How to access Chinese LLM chatbots across the world

MIT Technology Review’s How To series helps you get things done. Hundreds of Chinese large language models have been released since the government started permitting AI companies to open up their models for the general public to play around with in the summer of 2023.  For users in the West, finding these Chinese models and trying them…

Latest from MIT : Large language models don’t behave like people, even though we may expect them to

One thing that makes large language models (LLMs) so powerful is the diversity of tasks to which they can be applied. The same machine-learning model that can help a graduate student draft an email could also aid a clinician in diagnosing cancer. However, the wide applicability of these models also makes them challenging to evaluate…

Latest from MIT : AI model identifies certain breast tumor stages likely to progress to invasive cancer

Ductal carcinoma in situ (DCIS) is a type of preinvasive tumor that sometimes progresses to a highly deadly form of breast cancer. It accounts for about 25 percent of all breast cancer diagnoses. Because it is difficult for clinicians to determine the type and stage of DCIS, patients with DCIS are often overtreated. To address…

Latest from MIT Tech Review – AI companies promised the White House to self-regulate one year ago. What’s changed?

One year ago, on July 21, 2023, seven leading AI companies—Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI—committed with the White House to a set of eight voluntary commitments on how to develop AI in a safe and trustworthy way. These included promises to do things like improve the testing and transparency around AI systems,…

Latest from MIT Tech Review – A new weather prediction model from Google combines AI with traditional physics

Google DeepMind researchers have built a new weather prediction model that combines machine learning with more conventional techniques, potentially yielding accurate forecasts at a fraction of the current cost.  The model, called NeuralGCN and described in a paper in Nature today, bridges a divide that’s grown among weather prediction experts in the last several years. …

UC Berkeley – Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks Benchmark!

Humans excel at processing vast arrays of visual information, a skill that is crucial for achieving artificial general intelligence (AGI). Over the decades, AI researchers have developed Visual Question Answering (VQA) systems to interpret scenes within single images and answer related questions. While recent advancements in foundation models have significantly closed the gap between human…