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A company called Tombot thinks it’s come up with a way to improve the quality of life for seniors facing challenges when it comes to being social: a robotic companion dog that behaves and responds like a real pup, but without all the responsibilities of maintaining a living, breathing animal. The company even enlisted the talented folks at the Jim Henson’s Creature Shop to help make the robo-dog look as lifelike as possible. It’s a noble effort, but it also raises lots of questions.

For starters, can robots actually be a good substitute for an animal companion? Replacing people with robots is a massive technological challenge—and one we’re not even close to accomplishing. Every time a multi-million dollar humanoid robot like Boston Dynamics’ ATLAS takes a nasty spill, we’re reminded that they’re nowhere near ready to interact with the average consumer. But robotic animals are a different story. It’s hard not to draw comparisons to a well-trained dog when seeing Boston Dynamics’ SpotMini in action. And even though it still comes with a price tag that soars to hundreds of thousands of dollars, there are robotic pets available on the other end of the affordability spectrum.

I think SENS did this last year but now AlphaFold2 will make it easier and faster.


Hey it’s Han from WrySci HX discussing how breakthroughs in the protein folding problem by AlphaFold 2 from DeepMind could combine with the SENS research foundation’s approach of allotopic mitochondrial gene expression to fight aging damage. More below ↓↓↓

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It’s no secret that AI is everywhere, yet it’s not always clear when we’re interacting with it, let alone which specific techniques are at play. But one subset is easy to recognize: If the experience is intelligent and involves photos or videos, or is visual in any way, computer vision is likely working behind the scenes.

Computer vision is a subfield of AI, specifically of machine learning. If AI allows machines to “think,” then computer vision is what allows them to “see.” More technically, it enables machines to recognize, make sense of, and respond to visual information like photos, videos, and other visual inputs.

Over the last few years, computer vision has become a major driver of AI. The technique is used widely in industries like manufacturing, ecommerce, agriculture, automotive, and medicine, to name a few. It powers everything from interactive Snapchat lenses to sports broadcasts, AR-powered shopping, medical analysis, and autonomous driving capabilities. And by 2,022 the global market for the subfield is projected to reach $48.6 billion annually, up from just $6.6 billion in 2015.

I would say this is probably aimed at a few things. It’s a work around to the national fight to raise the minimum wage. These will be out of sight out of mind, so no one, besides the workers, will see as they are gradually automated to 100% by around 2027. And, the delivery is gradually fully automated with long distance drones and self driving vehicles. Also, be sure every other chain is working on the same stuff.


The ‘ghost kitchens’ are coming to the UK, US and Canada.

A radical collaboration between a biologist and an engineer is supercharging efforts to protect grape crops. The technology they’ve developed, using robotics and AI to identify grape plants infected with a devastating fungus, will soon be available to researchers nationwide working on a wide array of plant and animal research.

The biologist, Lance Cadle-Davidson, Ph.D. ‘03, an adjunct professor in the School of Integrative Plant Science (SIPS), is working to develop that are more resistant to powdery mildew, but his lab’s research was bottlenecked by the need to manually assess thousands of grape leaf samples for evidence of infection.

Powdery mildew, a fungus that attacks many plants including wine and table grapes, leaves sickly white spores across leaves and fruit and costs grape growers worldwide billions of dollars annually in lost fruit and fungicide costs.

Three scientists on Tuesday won the Nobel Physics Prize, including the first woman to receive the prestigious award in 55 years, for inventing Chirped-pulse amplification, or CPA. The 9-million-Swedish-kronor award (about $1 million) will be doled out to Arthur Ashkin of Bell Laboratories in Holmdel, N.J., Gérard Mourou of École Polytechnique in Palaiseau, France, and Donna Strickland of the University of Waterloo in Canada. This is a technique for creating ultrashort, yet extremely high-energy laser pulses necessary in a variety of applications. It is remarkable what can be achieved with lasers in research and in applications, and there are many good reasons for it, including their coherence, frequency stability, and controllability, but for some applications, the thing that really matters is raw power. Article by Dr. Olivier Alirol, Physicist, Resonance Science Foundation Research Scientist.

For many years now, China has been the world’s factory. Even in 2,020 as other economies struggled with the effects of the pandemic, China’s manufacturing output was $3.854 trillion, up from the previous year, accounting for nearly a third of the global market.

But if you are still thinking of China’s factories as sweatshops, it’s probably time to change your perception. The Chinese economic recovery from its short-lived pandemic blip has been boosted by its world-beating adoption of artificial intelligence (AI). After overtaking the U.S. in 2,014 China now has a significant lead over the rest of the world in AI patent applications. In academia, China recently surpassed the U.S. in the number of both AI research publications and journal citations. Commercial applications are flourishing: a new wave of automation and AI infusion is crashing across a swath of sectors, combining software, hardware and robotics.

As a society, we have experienced three distinct industrial revolutions: steam power, electricity and information technology. I believe AI is the engine fueling the fourth industrial revolution globally, digitizing and automating everywhere. China is at the forefront in manifesting this unprecedented change.

The Future of Everything covers the innovation and technology transforming the way we live, work and play, with monthly issues on health, money, cities and more. This month is Education & Learning, online starting Aug. 6 and in the paper on Aug. 13.

No one has yet deciphered the brain signals that encode a complex thought, turn an idea into words or make a lasting memory. But powerful clues are emerging to drive the neurotechnology of learning, scientists say.

On the frontier of neuroscience, researchers are inventing devices to enhance learning abilities, from wearable nerve stimulators that boost mental focus to headsets for wireless brain-to-brain communication.