Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: We studied a multilayer perceptron model to predict the etch rates of SiO2 and Si3N4 thin films in CF4 plasma using data obtained from a voltage–current (VI) sensor and an optical emission ...

Study in a Sentence: Cedars-Sinai researchers are developing KronosRx, an artificial intelligence-powered platform that uses human-derived organoids and deep-learning models to forecast adverse drug ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

“Courts are adapting the flexible fair-use doctrine to modern technology without rewriting the statute.” The results point toward a single principle: when AI training reproduces a copyrighted work’s ...

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A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

MANA — The Pacific Missile Range Facility announced the availability of the PMRF Land-based Training and Testing Final Environmental Assessment in a Friday press release. It is the first visible sign ...

We use the stock selection benchmark dataset from https://github.com/fulifeng/Temporal_Relational_Stock_Ranking/tree/master. To prepare the data: feature_describe ...

Anthropic updated its AI training policy. Users can now opt in to having their chats used for training. This deviates from Anthropic's previous stance. Anthropic has become a leading AI lab, with one ...