For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using ...

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 ...

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

Abstract: Partitioning the power system into smaller, manageable units facilitates better grid monitoring and control, thereby improving the grid’s stability and reliability. However, large-scale ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and metabolic markers to predict prediabetes in Indian adults. The model achieved ...

Funded through a $2.1 million National Science Foundation (NSF) grant, IceCore will replace UVM's six-year-old DeepGreen GPU ...

Abstract: In recent years, deep learning technology has developed rapidly, and the capabilities of models have become increasingly powerful. However, these models also have problems such as large size ...

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...