In a lab rack that looks more like a high-end audio system than a server, clusters of human brain cells are quietly learning ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

As enterprises become more extended and reach their footprints further, dealing with network complexity has become almost as important as network performance. The key to this is AI. But only if ...

Abstract: Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits.

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

As AI reshapes the travel industry, one acronym is sparking both excitement and confusion: MCP, or Model Context Protocol.

Lets time travel, back to the 1960s, huge mainframe computers humming in air conditioned rooms and their reels spinning like mechanical ...

CRN rounded up 10 of the hottest AI networking tools and platforms that solution providers should know about right now.

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Abstract: Offline Handwritten Text Recognition (OHTR) is a challenging topic in pattern recognition and computer vision due to the variability and complexity of handwriting styles. This study explores ...

Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.