A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a ...

Researchers have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program ...

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural ...

In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...

Artificial intelligence is everywhere these days, but the fundamentals of how this influential new technology work can be difficult to wrap your head around. Two of the most important fields in AI ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...