Sundiro Honda x Muji MS01 Test Ride ($700): Stylish, but Underpowered
Two of Japan’s heavy hitters teamed up to build a limited-edition, super-cheap, China-only electric moped: We took it for a spin.
How gaming democratization will enable the metaverse | Marc Whitten
Marc Whitten, SVP at Unity Create, believes that 3D content creation has to be further democratized to enable the metaverse.Read More
How AI and data enrichment can protect the vulnerable during a recession
Fraudsters work hard to make their methods convincing. Technology and intelligent use of data can help catch cyber criminals and their scams.Read More
T-Mobile’s New Data Breach Shows Its $150 Million Security Investment Isn’t Cutting It
The mobile operator just suffered at least its fifth data breach since 2018, despite promising to spend a fortune shoring up its systems.
‘Smart’ walking stick could help visually impaired with groceries, finding a seat
For people who are blind or visually impaired, finding the right products in a crowded grocery store can be difficult without help. A team of computer scientists is trying to change that.
Federated learning AI model could lead to healthcare breakthrough
AI biotech vendor Owkin has revealed just how powerful the federated model can be for healthcare, including breast cancer treatment.Read More
Will the Metaverse Live Up to the Hype? Game Developers Aren’t Impressed
Companies like Meta are still betting big on immersive virtual worlds, but people who have been building digital spaces for years don’t see the long-term potential.
How Microsoft can become the biggest winner of generative AI
Azure OpenAI Service can be Microsoft’s winning card in the race to dominate the fast-growing market for generative AI.Read More
A Damning US Report Lays Bare Amazon’s Worker Injury Crisis
Investigators found that conditions in three of the company’s facilities risk “serious physical harm” to workers.
Using a deep neural network to improve virtual images of people created using WiFi signals
A trio of researchers at Carnegie Mellon University has taken the use of WiFi signals to identify people in a building to a new level, through the use of a deep neural network. Jiaqi Geng, Dong Huang and Fernando De la Torre suggest, in a paper they have posted to the arXiv preprint server, that …