We know that algorithms can outperform humans across an expanding range of settings, from medical diagnosis and image recognition to crime prediction. However, an ongoing concern is the potential for ...

As society attempts to solve more and more problems computationally, the need for efficient algorithms to solve these problems continues to grow. Just as importantly, to be able to apply or adapt ...

Employers are increasingly automating recruiting processes during the COVID-19 pandemic, according to sources who previously spoke to HR Dive. Virtual skill assessments, screening tools, on-demand ...

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

The skyrocketing scale of AI has been hard to miss in recent years. The most advanced algorithms now have hundreds of billions of connections, and it takes millions of dollars and a supercomputer to ...

Michael Kearns and Aaron Roth, professors at the University of Pennsylvania, suggest that the solution is to "embed precise definitions of fairness, accuracy, transparency, and ethics at the algorithm ...

Researchers developed a deep learning neural network to aid the design of soft-bodied robots. The algorithm optimizes the arrangement of sensors on the robot, enabling it to complete tasks as ...