Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Humans outperform AI in new games using real world priors and faster flexible learning, giving them a key advantage in ...

Abstract: Financial crime is increasingly facilitated by technology and globalization, demanding advanced IT tools for detection. This paper presents an approach to automate the detection of ...

Perception: with the use of deep learning, AI robots can perceive and respond to their environments.This enables a variety of ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

Real-world evidence (RWE) has become a crucial driver of the pharmaceutical and biotechnology industries in recent years. In fact, RWE is now included in 70 percent of new drug and biologic regulatory ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Abstract: Auditory Brainstem Response (ABR) testing is a cornerstone of auditory and neurological diagnostics, providing objective evaluation of auditory pathways. Despite its widespread clinical use, ...