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Category: robotics/AI – Page 1,916

Fooling deep neural networks for object detection with adversarial 3D logos

Over the past decade, researchers have developed a growing number of deep neural networks that can be trained to complete a variety of tasks, including recognizing people or objects in images. While many of these computational techniques have achieved remarkable results, they can sometimes be fooled into misclassifying data.

An adversarial attack is a type of cyberattack that specifically targets deep neural networks, tricking them into misclassifying data. It does this by creating adversarial data that closely resembles and yet differs from the data typically analyzed by a deep neural network, prompting the network to make incorrect predictions, failing to recognize the slight differences between real and adversarial data.

In recent years, this type of attack has become increasingly common, highlighting the vulnerabilities and flaws of many deep neural networks. A specific type of that has emerged in recent years entails the addition of adversarial patches (e.g., logos) to images. This attack has so far primarily targeted models that are trained to detect objects or people in 2-D images.

The future of AI: 12 possible breakthroughs, and beyond

Interesting.

The AI of 5–10 years time could be very different from today’s AI. The most successful AI systems of that time will not simply be extensions of today’s deep neural networks. Instead, they are likely to include significant conceptual breakthroughs or other game-changing innovations.

That was the argument I made in a presentation on Thursday to the Global Data Sciences and Artificial Intelligence meetup. The chair of that meetup, Pramod Kunji, kindly recorded the presentation.

You can see my opening remarks in this video:

Robot developed that 3D prints and grills meat analogues in 6 minutes: ‘We are completely disrupting the supply chain’

Robot that 3D prints and cooks plant-based meat alternatives for foodservice — can replace manufacturing practices.

Israeli start-up SavorEat has developed an automated, closed system that 3D prints and cooks plant-based meat alternatives for foodservice. “This robot can replace manufacturing practices,” CEO Racheli Vizman tells FoodNavigator.

Challenging a central tenet of chemistry

Steve Granick, Director of the IBS Center for Soft and Living Matter and Dr. Huan Wang, Senior Research Fellow, report together with 5 interdisciplinary colleagues in the July 31 issue of the journal Science that common chemical reactions accelerate Brownian diffusion by sending long-range ripples into the surrounding solvent.

The findings violate a central dogma of chemistry, that and chemical reaction are unrelated. To observe that molecules are energized by chemical reaction is “new and unknown,” said Granick. “When one substance transforms to another by breaking and forming bonds, this actually makes the molecules move more rapidly. It’s as if the chemical reactions stir themselves naturally.”

“Currently, nature does an excellent job of producing molecular machines but in the natural world scientists have not understood well enough how to design this property,” said Wang. “Beyond curiosity to understand the world, we hope that practically this can become useful in guiding thinking about transducing chemical energy for molecular motion in liquids, for nanorobotics, precision medicine and greener material synthesis.”

New imaging system creates pictures

A radical new method of imaging that harnesses artificial intelligence to turn time into visions of 3D space could help cars, mobile devices and health monitors develop 360-degree awareness.

Photos and videos are usually produced by capturing photons—the building blocks of light—with digital sensors. For instance, digital cameras consist of millions of pixels that form images by detecting the intensity and color of the light at every point of space. 3D images can then be generated either by positioning two or more cameras around the subject to photograph it from multiple angles, or by using streams of photons to scan the and reconstruct it in three dimensions. Either way, an image is only built by gathering spatial information of the scene.

In a new paper published today in the journal Optica, researchers based in the U.K., Italy and the Netherlands describe an entirely new way to make animated 3D images: by capturing temporal information about photons instead of their spatial coordinates.

Why China is dominating the world in driverless cars

How true?

This video is about driverless cars and why China could be ahead of the world in self-driving car technology. We talk about how they are the biggest adopters of autonomous vehicles and how one day Chinese companies could be giving us a future of true autonomous travel. We also look at the issues that may set China back. Let’s take a look at why.

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I’m Alyse Sue and this is the Transhumanism Tech channel.

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Elon Musk says DeepMind is his ‘top concern’ when it comes to A.I.

“Just the nature of the AI that they’re building is one that crushes all humans at all games,” Musk told The New York Times in an interview published on Saturday. “I mean, it’s basically the plotline in ‘War Games.’”

DeepMind declined to comment when contacted by CNBC.

Musk has repeatedly warned that AI will soon become just as smart as humans and said that when it does we should all be scared because humanity’s very existence is at stake.