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Category: robotics/AI – Page 855

Machine learning has an “AI” problem. With new breathtaking capabilities from generative AI released every several months — and AI hype escalating at an even higher rate — it’s high time we differentiate most of today’s practical ML projects from those research advances. This begins by correctly naming such projects: Call them “ML,” not “AI.” Including all ML initiatives under the “AI” umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. For most ML projects, the term “AI” goes entirely too far — it alludes to human-level capabilities. In fact, when you unpack the meaning of “AI,” you discover just how overblown a buzzword it is: If it doesn’t mean artificial general intelligence, a grandiose goal for technology, then it just doesn’t mean anything at all.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.357346 data-title= The AI Hype Cycle Is Distracting Companies data-url=/2023/06/the-ai-hype-cycle-is-distracting-companies data-topic= AI and machine learning data-authors= Eric Siegel data-content-type= Digital Article data-content-image=/resources/images/article_assets/2023/06/Jun23_02_Skizzomat-383x215.jpg data-summary=

By focusing on sci-fi goals, they’re missing out on projects that create real value right now.

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Researchers have trained a robotic ‘chef’ to watch and learn from cooking videos, and recreate the dish itself.

The researchers, from the University of Cambridge, programmed their robotic chef with a cookbook of eight simple salad recipes. After watching a video of a human demonstrating one of the recipes, the robot was able to identify which was being prepared and make it.

In addition, the videos helped the robot incrementally add to its cookbook. At the end of the experiment, the robot came up with a ninth recipe on its own. Their results, reported in the journal IEEE Access, demonstrate how can be a valuable and rich source of data for automated food production, and could enable easier and cheaper deployment of robot chefs.

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I believe that every function in trade book publishing today can be automated with the help of generative AI. And, if this is true, then the trade book publishing industry as we know it will soon be obsolete. We will need to move on.

There are two quick provisos, however. The first is straightforward: this is not just about ChatGPT—or other GPTs (generative pretrained transformers) and LLMs (large language models). A range of associated technologies and processes can and will be brought into play that augment the functionality of generative AI. But generative AI is the key ingredient. Without it, what I’m describing is impossible.

The second proviso is of a different flavor. When you make absolutist claims about a technology, people will invariably try to defeat you with another absolute. If you claim that one day all cars will be self-driving, someone will point out that this won’t apply to Formula One race cars. Point taken.

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Stability AI became a $1 billion company with the help of a viral AI text-to-image generator and — per interviews with more than 30 people — some misleading claims from founder Emad Mostaque.

Emad Mostaque is the modern-day Renaissance man who kicked off the AI gold rush. The Oxford master’s degree holder is an award-winning hedge fund manager, a trusted confidant to the United Nations and the tech founder behind Stable Diffusion — the text-to-image generator that broke the internet last summer and, in his words, pressured OpenAI to launch ChatGPT, the bot that mainstreamed AI.

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A raft of industry experts have given their views on the likely impact of artificial intelligence on humanity in the future. The responses are unsurprisingly mixed.

The Guardian has released an interesting article regarding the potential socioeconomic and political impact of the ever-increasing rollout of artificial intelligence (AI) on society. By asking various experts in the field on the subject, the responses were, not surprisingly, a mixed bag of doom, gloom, and hope.

Yucelyilmaz/iStock.

Continue reading “The rise of AI: ‘AI doomsday’ or the best thing since sliced bread?” | >

Researchers at Washington State University have been monitoring challenges honeybees face for nearly 20 years, and they said this year could be one of the worst ones for the important pollinators in decades.

However, they have also been working to create robot bees to help with pollination. KCBS Radio’s Holly Quan spoke with Ryan Bena, a PhD student at the University of Southern California and co-author of the study about the project.

“Essentially we built this this robot – it’s about 95 milligrams,” he explained. “So it’s roughly the size of… an actual insect bee. And we use flapping wings. So for flapping wings to fly and control the bee, you know, fly through the air… what’s unique and sort of interesting about our particular robot is that we finally developed a way to coordinate the flapping of these four wings so that we can control the bee in every direction.”

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