The development of robotic systems has come a long way, particularly in the area of tactile capabilities. Researchers at the Technical University of Munich (TUM) have made significant strides in improving how robots are categorized and evaluated. This article delves into their innovative approach,
Artificial intelligence (AI) has made significant strides in recent years, tackling complex tasks such as writing essays and generating art. However, when it comes to interpreting basic time-related data, such as reading analog clocks and calendars, AI stumbles over what seem to be simple tasks.
High-performance computing (HPC) has long been dominated by companies that invest heavily in skilled programmers to develop optimized code for artificial intelligence systems and other high-stakes applications. For years, industry leaders like NVIDIA have set the gold standard, creating HPC
Artificial Intelligence (AI) is no longer a vague concept of science fiction; it has become an integral part of various industries, transforming how we approach solutions to complex problems. From autonomous vehicles to AI-assisted medical procedures, the integration of AI in engineering has had a
Today we have Laurent Giraid, a leading expert in Artificial Intelligence, with a focus on machine learning, natural language processing, and the ethics surrounding AI. We’ll discuss his insights on how national governments and investors can strategically develop data centers and AI infrastructure.
A transformative technique by North Carolina State University researchers addresses the critical issue of spurious correlations in AI. These misleading associations cause AI systems to make decisions based on non-essential features in their training data. This article delves into the problem and
