David Curry

Deployed for AI, e-prop would require only 20 watts, approximately one-millionth the energy a supercomputer uses.

The necessary compute power to run AI models is increasing by a factor of two every three months.

Simulations showed the system to be highly effective and accurate, with diverse group behaviors among the swarm robots.

In the current pandemic, AI models are experiencing unique levels of traffic and interest.

The collaboration aims to help financial institutions better manage an ever-growing list of regulatory requirements.

All four institutes are working on manufacturing solutions for the COVID-19 pandemic response.

Companies are investing in automation technology to improve safety, make better operational decisions, and ease the burden of tight turnaround times.

Digital twin technology is now seen as critical to the future of many sectors that suffer from hefty research and development costs.

The team will continue to train the algorithm and are actively looking for partners to test the algorithm in real-world conditions.

Edge computing is able to analyze and filter raw data sets and send only valuable information back to the cloud or a data center.

Businesses are showing more maturity when it comes to AI benefits and potential achievements.

Besides time and cost savings, surrogate models could lead to new scientific discoveries, owing to their ability to handle large volumes of high-dimensional data.