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UCI and Harvard Researchers Introduce TalkToModel that Explains Machine Learning Models to its Users

Marktechpost

However, the complexity of these models has rendered their underlying processes and predictions increasingly opaque, even to seasoned computer scientists. Existing attempts at Explainable Artificial Intelligence (XAI) have faced limitations, often leaving room for interpretation in their explanations.

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The AI rules that US policymakers are considering, explained

Flipboard

Compute” regulation : Training advanced AI models requires a lot of computing, including actual math conducted by graphics processing units (GPUs) or other more specialized chips to train and fine-tune neural networks. Cut off access to advanced chips or large orders of ordinary chips and you slow AI progress.

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This AI Tool Explains How AI ‘Sees’ Images And Why It Might Mistake An Astronaut For A Shovel

Marktechpost

It is known that, similar to the human brain, AI systems employ strategies for analyzing and categorizing images. Thus, there is a growing demand for explainability methods to interpret decisions made by modern machine learning models, particularly neural networks.

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AI Everywhere, All at Once

Flipboard

The sentiment that we’re moving too fast for our own good is reflected in an open letter calling for a pause in AI research, which was posted by the Future of Life Institute and signed by many AI luminaries, including some prominent IEEE members.

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This AI newsletter is all you need #34

Towards AI

Announcing the launch of the Medical AI Research Center (MedARC) Medical AI Research Center (MedARC) announced a new open and collaborative research center dedicated to advancing the field of AI in healthcare. This article explains why. […]

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Can I Solve Science?

TheSequence

Is AI going to discover everything? Can AI help explain the universe? What are the limits of AI when it comes to science? There are many theories about the possibilities of AI in scientific domains, but not a formal theory. ai published a paper detailing thearchitecture behind the Yi family of models.

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Meet LegalBench: A Collaboratively Constructed Open-Source AI Benchmark for Evaluating Legal Reasoning in English Large Language Models

Marktechpost

LEGALBENCH offers substantial assistance in knowing how to prompt and assess various activities for AI researchers without legal training. This typology is based on the frameworks attorneys use to explain legal reasoning. All Credit For This Research Goes To the Researchers on This Project.