Eli Lilly and Co. to open a research lab that will use artificial intelligence to speed up drug discovery. The companies ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

LinkedIn rewards different signals in 2026. Chris Donnelly brings data-backed insights from analyzing 300,000 posts on what ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

The announcement marks the latest in a string of commitments from Musk to open-source the technology behind X's recommendation engine. Previous promises, however, have seen uneven ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Researchers have developed a new computational approach that uncovers possible drugs for specific cellular targets for ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Abstract: The range-spread target detection problem typically faces uncertainty in the number and locations of target scattering centers (TSCs), which severely limits the performance of traditional ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.