AI

Engineers face complex design challenges daily. According to Antti Oulasvirta, professor of electrical engineering at Aalto University and the Finnish Center for Artificial Intelligence, designers rely on intuition, experience, and trial…

There’s been a constant demand for smaller, lighter, and cheaper cameras. But miniaturization is restricted by the lens system and the focusing distance required by refractive lenses. Researchers have developed a new image reconstruction…

MIT announced the launch of an MIT AI Hardware Program, joined by five inaugural companies to advance transformative AI technologies for the next decade. The academia and industry collaboration will define and develop translational…

When we think of machine learning, we see the AI model progressively make decisions based on millions of data inputs and cumulative reasoning, however unlike humans, decisions are made one at a time and then evaluated manually. A…

By Carolyn Mathas Researchers used the ‘robot scientist’ Eve and automated text analysis to semi-automate reproducing research results. Reproducibility is a major challenge in science. Led by the University of Cambridge,…

Seeed Studio’s "IoT into the Wild" focuses on AIoT solutions for outdoor applications, for devices from low-power sensors to ultra-long-range gateways featuring Edge AI. The products will be available in Q2. Seeed released a SenseCAP…

According to Ayyeka, its AI Data Curator can speed up the promise of smart cities from somewhere in the future to now. The concept of smart cities has been of great interest but has seen slow adoption. Some barriers are data quality and…

Cerebriu and Siemens Healthineers announced their partnership to integrate Cerebriu's patented AI-based Smart Protocol™ for Brain MRI-workflow automation software with MRI machines from Siemens Healthineers. The software will be…

If a machine-learning model is biased, it may be impossible to remove this bias later. If, for example, an unbalanced dataset focuses on skin color, predictions will be both unfair and unreliable in the real world. MIT researchers have…

Artificial neural networks solve complex tasks better than we can. They’re used in social media, streaming, online gaming, and other areas that target users with posts, movies, fun games, or other content that matches their individual…