Wintergreen students use visual art, technology to promote positive choices – The County

The Amazon CloudFront distribution is configured to block access from your country.


Generated by cloudfront (CloudFront)
Request ID: JUYoZa3s0euwzKhJdfdRNzozZgSQOPU7Bc-g97GIFxaztY7LU-WnRQ==

Comments

Post a Comment

Popular posts from this blog

Chinese researchers develop hybrid chip design that holds promise for ‘thinking machines’ – Yahoo News

Image
Chinese researchers have developed a hybrid chip architecture that could move the world a step closer to achieving artificial general intelligence (AGI) and a future filled with humanlike “thinking machines”. Their research presented the case for the Tianjic chip, which was designed by integrating the “computer-science-oriented and neuroscience-oriented” approaches to developing AGI. Tianjic shows that combining those two approaches, which rely on fundamentally different formulations and coding schemes, can enable a single computing platform to run diverse machine-learning algorithms and reconfigurable building blocks, among others. Chinese researchers, led by Tsinghua University professor Shi Luping, have designed a computer chip, called Tianjic, that shows a hybrid architecture capable of supporting so-called artificial general intelligence. Photo: Handout “This chip for general AI has the potential of being applied across many industries,” said Shi, a professor...
Read more

A Compelling Example of AI in CAD: Autodesk’s Take on Generative Design – Cadalyst Magazine

Image
Artificial intelligence (AI), machine learning, deep neural networks (DNNs) — these topics and buzzwords have captured the lion’s share of technology press in the past few years. But for those who’ve seen more than a few hype-and-bust cycles in the past, the headlines beg the question: Is this stuff real and impactful, or just another round of marketing exuberance that will disappoint in the long run? The answer in a big-picture context is clear: In the long term, artificial and machine learning will fundamentally transform not only technology, but likely society as a whole. The trickier (and more relevant) question for many is: How will it do so, when it will do so, and in which markets and applications will it have the most impact? Certainly, professional computing applications are among those most clearly in the crosshairs of machine learning. And of those professional spaces, CAD presents some of the most compelling uses I’ve seen for the technology. We’re seeing both hardware...
Read more