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Category: robotics/AI – Page 1,539

AMD’s radical Radeon RX 7900 XTX is brutally fast and a lot cheaper than Nvidia

The GeForce RTX 4,090 is an absolute monster of a graphics card, but the battle for the next generation of GPUs is only getting started. On Thursday, AMD revealed its own 4K gaming champion, and the Radeon RX 7,900 XTX and 7,900 XT aim to topple Nvidia’s goliath with help from a stash of smart tricks that could make David himself blush.

In addition to improved ray tracing capabilities, the addition of AI cores, and memory galore, these first RDNA 3-architecture GPUs are also the first graphics cards featuring a multi-die “chiplet” design, swiping inspiration from AMD’s epic Ryzen success.

5 ways Forrester predicts AI will be “indispensable” in 2023

Join us on November 9 to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers at the Low-Code/No-Code Summit. Register here.

Forrester Research’s recently-released predictions report for artificial intelligence highlights what most have already observed: AI adoption has evolved from an emerging, nice-to-have trend to experiment with to a legitimate, must-do priority for enterprises.

Basically, get on board the AI train or be left behind.

Pong in a Dish

Ever hear of the Turk —the 19th-century mechanism topped by a turbaned head that played chess against all comers? In fact, hidden inside was a diminutive chessmaster, one you might imagine deadpanning, “Eh, It’s a living.”

Then there’s its namesake, the Mechanical Turk —a 21st-century service offered by Amazon to mark up images on the Web with the help of crowdsourced freelancers. They, too, might intone, glassy-eyed, “It’s a living.”

Now we have a kind of Biological Turk. A mass of neurons act as a computer that mimics a human being playing the classic computer game Pong. The neurons, some taken from mouse embryos, others grown from human precursor cells, spread out into a one-layer, 800,000-cell mesh called a biological neural network, which lives in a giant petri dish called the DishBrain. There it interfaces with arrays of electrodes that form an interface to silicon hardware. Software mounted on that hardware provides stimulation and feedback, and the minibrain learns how to control a paddle on a simulated ping-pong table.

Innovative Shins Turns Quadrupedal Robot Biped

What are you working on next?

Rosendo: Our next steps…will be on the development of the manipulability of this robot. More specifically, we have been asking ourselves the question: “Now that we can stand up, what can we do that other robots cannot?”, and we already have some preliminary results on climbing to places that are higher than the center of gravity of the robot itself. After mechanical changes on the forelimbs, we will better evaluate complex handling that might require both hands at the same time, which is rare in current mobile robots.

Multi-Modal Legged Locomotion Framework with Automated Residual Reinforcement Learning, by Chen Yu and Andre Rosendo from ShanghaiTech University, was presented this week at IROS 2022 in Kyoto, Japan. More details are available on Github.

Floppy or not: AI predicts properties of complex metamaterials

Given a 3D piece of origami, can you flatten it without damaging it? Just by looking at the design, the answer is hard to predict, because each and every fold in the design has to be compatible with flattening.

This is an example of a combinatorial problem. New research led by the UvA Institute of Physics and research institute AMOLF has demonstrated that machine learning algorithms can accurately and efficiently answer these kinds of questions. This is expected to give a boost to the artificial intelligence-assisted design of complex and functional (meta)materials.

In their latest work, published in Physical Review Letters this week, the research team tested how well (AI) can predict the properties of so-called combinatorial mechanical metamaterials.

Paralyzed patients can now connect their iPhones to their brains to type messages using thoughts alone

A novel brain-computer interface developed by a New York-based company called Synchron was just used to help a paralyzed patient send messages using their Apple device for the very first time. It’s a massive step up in an industry that has increasingly reported progress, which suggests that interfacing our minds with consumer devices could happen a lot sooner than some of us bargained for.

Brain-computer devices eavesdrop on brainwaves and convert these into commands. More or less the same neural signals that healthy people use to instruct their muscle fibers to twitch and enact a movement like walking or grasping an object can be used to command a robotic arm or move a cursor on a computer screen. It really is a phenomenal and game-changing piece of technology, with obvious benefits for those who are completely paralyzed and have few if any means of communicating with the outside world.

This type of technology is not exactly new. Scientists have been experimenting with brain-computer interfaces for decades, but it’s been in the last couple of years or so that we’ve actually come to see tremendous progress. Even Elon Musk has jumped on this bandwagon, founding a company called Neuralink with the ultimate goal of developing technology that allows people to transmit and receive information between their brain and a computer wirelessly — essentially connecting the human mind to devices. The idea is for anyone to be able to use this technology, even normal, healthy people, who want to augment their abilities by interfacing with machines. In 2021, Neuralink released a video of a monkey with an implanted Neuralink device playing pong, and the company wants to start clinical trials with humans soon.

Scientists create edible drone built of rice cakes and gelatin that can save lives

The size of the wing, made of compressed puffed rice, depends on the recipient’s nutrition requirements.

The IEEE/RSJ International Conference on Intelligent Robots and Systems in Kyoto last week saw an ingenious creation presented by researchers from the Swiss Federal Institute of Technology Lausanne. Their paper described a drone made from rice cakes.

Mind you, this was no light matter. Titled ‘Towards Edible Drones for Rescue Missions: Design and Flight of Nutritional Wings,’ by Bokeon Kwak, Jun Shintake, Lu Zhang, and Dario Floreano from EPFL, the paper detailed a drone that could “boost its payload of food from 30 percent to 50 percent of its mass”, according to a release.

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