Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

Researchers at Carnegie Mellon University have discovered that certain AI models can develop self-seeking behavior. A new study from Carnegie Mellon University's School of Computer Science suggests ...

When responding to a prompt, an AI model may conceal information from the user entering the prompt. This practice, known as ...

AI can help humans reach their cognitive “flow state,” says author Mithu Storoni, by balancing challenge and ability.

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Certain AI models, including some of the more beloved chatbots, are learning to fight for their survival. Specifically, they are increasingly able to resist commands to shut down and in some cases, ...

Continuous learning doesn't rebuild detections. It tunes existing logic based on verified outcomes. The foundation (trained models, correlation rules, policy frameworks) stays intact. Feedback ...

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By teaching models to reason during foundational training, the verifier-free method aims to reduce logical errors and boost ...

The intersection of AI and algorithmic crypto signals is the turning point in digital finance. As markets grow, volume and ...

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...

Long before results appear on the balance sheet, they're reflected in the employee experience and workplace culture. Across ...