Abstract: A novel reinforced dual-flow neural network based on attention and a polynomial-based radial basis function network (DFBTP) is proposed to enhance classification performance on tabular data.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

NEW YORK, Jan 30 (Reuters) - SpaceX revised its Starlink privacy policy to allow the use of customer data for AI training, a shift that could bolster Elon Musk's AI ambitions. Ahead of a blockbuster ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

A techspert named Davey Jones is urging Gmail users to switch off several features over concerns that Google could automatically access their sensitive email data and use it to train AI. Arlette - ...

Viral posts claim you need to opt out of Gmail’s ‘smart features’ to avoid having your emails used to train AI, but Google says it doesn’t use the content of your emails for AI training. Viral posts ...

AgiBot, a humanoid robotics company based in Shanghai, has engineered a way for two-armed robots to learn manufacturing tasks through human training and real-world practice on a factory production ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

This week, Meta asked a US district court to toss a lawsuit alleging that the tech giant illegally torrented pornography to train AI. The move comes after Strike 3 Holdings discovered illegal ...