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Category: robotics/AI – Page 427

A Technique for more Effective Multipurpose Robots

With generative AI models, researchers combined robotics data from different sources to help robots learn better. MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments.

Let’s say you want to train a robot so it understands how to use tools and can then quickly learn to make repairs around your house with a hammer, wrench, and screwdriver. To do that, you would need an enormous amount of data demonstrating tool use.

Existing robotic datasets vary widely in modality — some include color images while others are composed of tactile imprints, for instance. Data could also be collected in different domains, like simulation or human demos. And each dataset may capture a unique task and environment.

Tesla could release FSD v12.4.2 this weekend

The next update to Tesla’s Full Self-Driving (Supervised) could arrive this weekend, as the long-awaited v12.4.2 is scheduled to enter an internal testing phase tomorrow.

Tesla first released version 12 of FSD in March, and it was a significant release because it was the first version that relied on end-to-end neural nets, instead of over 300,000 lines of hand-written code. With the switch, CEO Elon Musk said that each revision should result in significant improvements, saying that v12.4 should see a 5 to 10 times improvement in miles per intervention.

However, v12.4 was only released to a limited number of testers earlier this month, more than four weeks after Musk initially said it would be available, and it received a luke-warm response, with a number of bugs and erratic driving behaviours reported. As a result, it has yet to go to a wide release.

I don’t think we can control AI much longer. Here’s why

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Geoffrey Hinton recently ignited a heated debate with an interview in which he says he is very worried that we will soon lose control over superintelligent AI. Meta’s AI chief Yann LeCun disagrees. I think they’re both wrong. Let’s have a look.

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Fighting Rectal Cancer with AI: Researchers Secure $2.78M Grant

What You Should Know:

– A glimmer of hope emerged today for rectal cancer patients as a collaborative effort between Case Western Reserve University (CWRU), Cleveland Clinic, and University Hospitals (UH) received a $2.78 million grant over five years from the National Institutes of Health and National Cancer Institute. This grant will fuel research leveraging artificial intelligence (AI) to personalize treatment for rectal cancer patients.

– The new research effort signifies a significant step forward in the fight against rectal cancer. By harnessing the power of AI, researchers are on the path to developing more precise treatment strategies, ultimately improving patient outcomes and quality of life.

Could AI Ever Become Conscious? Here’s the Truth About Thinking, Feeling Machines

Star Trek: The Next Generation looks at sentience as consciousness, self-awareness, and intelligence—and that was actually pretty spot on. Sentience is the innate human ability to experience feelings and sensations without association or interpretation. “We’re talking about more than just code; we’re talking about the ability of a machine to think and to feel, along with having morality and spirituality,” Ishaani Priyadarshini, a Cybersecurity Ph.D. candidate from the University of Delaware, tells Popular Mechanics.

💡AI is very clever and able to mimic sentience, but never actually become sentient itself.

The very idea of consciousness has been heavily contested in philosophy for decades. The 17th-century philosopher René Descartes famously said, “I think therefore I am.” A simple statement on the surface, but it was the result of his search for a statement that couldn’t be doubted. Think about it: he couldn’t doubt his existence as he was the one doubting himself in the first place.