Artificial intelligence and machine learning help computers learn from data, identify patterns, improve performance, and make decisions, transforming industries through technologies like neural ...

Abstract: Deep neural networks (DNNs) have made great breakthroughs and seen applications in many domains. However, the incomparable accuracy of DNNs is achieved with the cost of considerable memory ...

Abstract: Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them efficiently ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that scales alongside autonomy.

Biological rhythms coordinate adaptive sensing and computation, spontaneously demonstrating concept drift detection abilities. We demonstrate that our oscillatory learning scheme, called rhythmic ...

Studies show AI can match kriging at estimating gold deposits. So why do the audited filings that move mining stocks still ...

The key to more powerful plugins may be the graphics processor that you already have in your computer ...

A quantum-inspired AI approach can analyze millions of molecular features from small datasets, improving predictions, ...

The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...

Rivian has just started delivering the R2, a midsize electric SUV designed for the mass market.

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of ...

SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...