We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Chinese researchers have developed a system that uses passengers' brain signals to improve autonomous vehicle safety in risky ...

Chinese researchers tested whether monitoring passengers' brain activity could help self-driving systems make safer decisions ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Cars from companies like Tesla already promise hands-free driving, but recent crashes show that today's self-driving systems can still struggle in risky, fast-changing situations.

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

A research team led by Professor Jiang Changlong at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, ...

Why management education must stop fearing artificial intelligence and start embracing it to think deeply, question sharply, ...

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...

Researchers suggest that MultiCell could potentially be used to discern early patterns of disease, such as in asthma.