Category

Moravec‘s Paradox

OpenAI Seeks Trademark Protection for the “GPT” Moniker Moravec‘s Paradox

OpenAI Seeks Trademark Protection for the “GPT” Moniker

OpenAI, the hyped artificial intelligence research laboratory, has recently applied for trademarking the term “GPT” with the United States Patent and Trademark Office (USPTO). The move comes as the organization aims to protect its widely recognized AI technology from misuse, imitation, and unauthorized exploitation. OpenAI’s flagship product, the GPT series, has…
bubmag
April 25, 2023
Hashtag Trending Apr.24th Moravec‘s Paradox

Hashtag Trending Apr.24th

Cybersecurity workers are burned out and its having an impact, Google may be losing its supremacy in answering tech support issues and executives say they’d rather have a robot making key decisions.  These stories and more on Hashtag Trending, for Monday, April 24th.  I’m your host Jim Love, CIO of…
bubmag
April 24, 2023
5 emerging trends in deep learning and artificial intelligence Moravec‘s Paradox

5 emerging trends in deep learning and artificial intelligence

Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. Five of the most promising emerging trends in this area include federated learning, GANs, XAI, reinforcement learning and transfer learning. These technologies have the potential to revolutionize various applications of machine learning, from image recognition…
bubmag
April 22, 2023
A daring company is about to try landing on the moon. You can watch it. Moravec‘s Paradox

A daring company is about to try landing on the moon. You can watch it.

Japanese company ispace will attempt to land its Hakuto-R spacecraft on the moon. Credit: ispace illustration Other space ventures and spacefaring nations have tried and failed before. Undeterred by previous flops, a Japanese company will attempt to land a robotic spacecraft on the moon. If it succeeds, ispace could claim…
bubmag
April 22, 2023
Debunking the Myth: Is Deep Learning Necessary for Artificial Intelligence? Moravec‘s Paradox

Debunking the Myth: Is Deep Learning Necessary for Artificial Intelligence?

Recent research demonstrates that brain-inspired shallow feedforward networks can efficiently learn non-trivial classification tasks with reduced computational complexity, compared to deep learning architectures. It showed that shallow architectures can achieve the same classification success rates as deep learning architectures, but with less complexity. Efficient learning on shallow architectures is connected…
bubmag
April 20, 2023