TACC Resources Aid NIST in Developing Neural Network for Materials Prediction

tacc jarvis

When Tony Stark needs to travel to space in the original Iron Man movie, he asks his artificial intelligence (AI) assistant J.A.R.V.I.S. to make a suit that can survive harsh conditions.

As AI specialist Kamal Choudhary explains: “The way I see it, what J.A.R.V.I.S. did is, it had a database of materials, scanned the database, found a suitable material, tested it, then synthesized an alloy that could survive space conditions.

“That’s what we want our system to do, and that’s why we called it JARVIS.”

The post TACC Resources Aid NIST in Developing Neural Network for Materials Prediction appeared first on HPCwire.

More Related Posts

Gaumard gives simulated patients realistic symptoms for robotic medical training

A pediatric HAL S2225 on mechanical ventilation. Source: Gaumard Among the uses...

Global Smart Robot Market 2019 Size, Share, Industry Growth Analysis, Trends, Applications Demand and Opportunities Research by Forecast 2023 – MarketWatch

Smart Robot Market is expected to grow from USD 4.5 billion in...

Google Introduces New Digital-Analog Quantum Simulation

Google Quantum AI introduced a new hybrid digital-analog approach to quantum simulation...

Home

Highly Niched Headhunters Specialized in Physical AI/Robotics, High-Performance Computing, Unmanned/Autonomous Systems, Defense Technology and Energy.

Specializations

We recruit across complex engineering markets where understanding the technology is critical to finding the right talent.

How We Work

Overview of how PACE partners with teams: Our process, what clients get, and why PACE is different.

About Us

PACE’s story, values, and culture define how we operate and who we are.

News & Insights

Stay up to date on industry trends.

Contact

All the information needed for anyone interested in contacting us.