The digital twin is an exciting concept and undoubtedly one of the hottest tech trends right now. It fuses ideas including artificial intelligence (AI), the internet of things (IoT), metaverse, and virtual and augmented reality (VR/AR) to create digital models of real-world objects, systems, or processes. These models can then be used to tweak and adjust variables to study the effect on whatever is being twinned – at a fraction of the cost of carrying out experiments in the real world.
Businesses around the globe are looking to deploy Digital Twins across a broad range of applications, ranging from engineering design of complex equipment and 3D immersive environments to precision medicine and digital agriculture. However, to date, applications have been highly customized and only accessible for high value use-cases, such as the operations of jet engines, industrial facilities and power plants. Now leading technology companies like AWS are working hard to lower the costs and simplify the deployment of this technology, with AWS IoT TwinMaker, making it easier and more accessible for all kinds and sizes of companies to build their own Digital Twins. Read More
Daily Archives: June 22, 2022
FLAWED AI MAKES ROBOTS RACIST, SEXIST
A robot operating with a popular Internet-based artificial intelligence system consistently gravitates to men over women, white people over people of color, and jumps to conclusions about peoples’ jobs after a glance at their face.
The work, led by Johns Hopkins University, Georgia Institute of Technology, and University of Washington researchers, is believed to be the first to show that robots loaded with an accepted and widely-used model operate with significant gender and racial biases. The work is set to be presented and published this week at the 2022 Conference on Fairness, Accountability, and Transparency. Read More
Copilot, GitHub’s AI-powered programming assistant, is now generally available
Last June, Microsoft-owned GitHub and OpenAI launched Copilot, a service that provides suggestions for whole lines of code inside development environments like Microsoft Visual Studio. Available as a downloadable extension, Copilot is powered by an AI model called Codex that’s trained on billions of lines of public code to suggest additional lines of code and functions given the context of existing code. Copilot can also surface an approach or solution in response to a description of what a developer wants to accomplish (e.g., “Say hello world”), drawing on its knowledge base and current context.
Copilot was previously only available in technical preview. But after signaling that the tool would reach generally availability this summer, GitHub today announced that Copilot is now available to all developers. As previously detailed, it’ll be free for students as well as “verified” open source contributors — starting with roughly 60,000 developers selected from the community and students in the GitHub Education program. Read More
Rick's Cafe AI 