In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Disinfecting drinking water prevents the spread of deadly waterborne diseases by killing infectious agents such as bacteria, ...

From agentic underwriting to patent-pending risk models, Piramal Finance, a wholly owned subsidiary of Piramal Enterprises Limited, and a ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Researchers used an AI model to predict toxicity of more than 1,100 drinking water disinfection byproducts, identifying many ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...