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Archive for the ‘robotics/AI’ category: Page 1075

Jul 13, 2022

Scientists Have Created an AI That Can Think Like a Human Baby

Posted by in category: robotics/AI

Artificial intelligence (AI) systems are already far superior to humans in some tasks, such as playing Go or processing enormous amounts of data, yet even just a few months after we are born, AI is still far behind us in many other areas.

For instance, even very young kids instinctively understand that an object shouldn’t disappear and then reappearance somewhere else. Babies react with amazement when they witness such a magic trick.

Jul 12, 2022

Google Engineer Claims AI Chatbot Is Sentient: Why That Matters

Posted by in category: robotics/AI

Artificial intelligence to be sentient?

Jul 12, 2022

Building Neural Networks With TensorFlow.NET

Posted by in categories: information science, robotics/AI

TensorFlow.NET is a library that provides a. NET Standard binding for TensorFlow. It allows. NET developers to design, train and implement machine learning algorithms, including neural networks. Tensorflow. NET also allows us to leverage various machine learning models and access the programming resources offered by TensorFlow.

TensorFlow

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. It is composed by a set of tools for designing, training and fine-tuning neural networks. TensorFlow’s flexible architecture makes it possible to deploy calculations on one or more processors (CPUs) or graphics cards (GPUs) on a personal computer, server, without re-writing code.

Jul 12, 2022

Error-Correcting Surface Codes Get Experimental Vetting

Posted by in categories: quantum physics, robotics/AI

Two independent groups have experimentally demonstrated surface-code quantum error correction—an approach for remedying errors in quantum computations.


The small robotic crab can walk, bend, twist, turn and jump The smallest-ever remote-controlled walking robot has been created by Northwestern University engineers, and it takes the shape of a tiny, cute peekytoe crab. The tiny crabs, which are about half a millimeter wide, can bend, twist, craw.

Jul 12, 2022

Smaller Than a Flea — The Smallest Remote-Controlled Walking Robot Ever

Posted by in categories: biotech/medical, robotics/AI

The tiny crabs, which are about half a millimeter wide, can bend, twist, crawl, walk, turn, and even leap. Additionally, the scientists created millimeter-sized robots that resemble inchworms, crickets, and beetles. The study is experimental at this time, but the researchers think their technique might move the field closer to developing tiny robots that can carry out useful tasks in small, cramped areas.

The study was recently published in the journal Science Robotics. The same team also unveiled a winged microprocessor in September of last year; it was the tiniest flying object ever created by humans (published on the cover of Nature).

“Robotics is an exciting field of research, and the development of microscale robots is a fun topic for academic exploration,” said John A. Rogers, who led the experimental work. “You might imagine micro-robots as agents to repair or assemble small structures or machines in industry or as surgical assistants to clear clogged arteries, to stop internal bleeding or to eliminate cancerous tumors — all in minimally invasive procedures.”

Jul 12, 2022

AI Improves Robotic Performance in DARPA’s Machine Common Sense Program

Posted by in category: robotics/AI

What do #robots and babies have in common? Both learn from experience & their surroundings. Our Machine Common Sense program applies lessons from child cognition to make robotic systems more robust, like walking in new/tough terrain as shown.

Jul 12, 2022

Use That Everyday A.I. in Your Pocket

Posted by in category: robotics/AI

Artificial intelligence powers more apps on your mobile devices than you may realize. Here’s how to take advantage of the technology — or turn it off.

Jul 12, 2022

AI made these stunning images. Here’s why experts are worried

Posted by in category: robotics/AI

A million bears walking on the streets of Hong Kong. A strawberry frog. A cat made out of spaghetti and meatballs.

These are just a few of the text descriptions that people have fed to cutting-edge artificial intelligence systems in recent weeks, which these systems — notably OpenAI’s DALL-E 2 and Google Research’s Imagen — can use to produce incredibly detailed, realistic-looking images.

Jul 12, 2022

Chinese spacecraft acquires images of entire planet of Mars

Posted by in categories: robotics/AI, space

BEIJING, June 29 (Reuters) — An uncrewed Chinese spacecraft has acquired imagery data covering all of Mars, including visuals of its south pole, after circling the planet more than 1,300 times since early last year, state media reported on Wednesday.

China’s Tianwen-1 successfully reached the Red Planet in February 2021 on the country’s inaugural mission there. A robotic rover has since been deployed on the surface as an orbiter surveyed the planet from space.

Among the images taken from space were China’s first photographs of the Martian south pole, where almost all of the planet’s water resources are locked.

Jul 11, 2022

AI researchers tackle longstanding ‘data heterogeneity’ problem for federated learning

Posted by in categories: biotech/medical, robotics/AI

Researchers from North Carolina State University have developed a new approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly and accurately. The work focuses on a longstanding problem in federated learning that occurs when there is significant heterogeneity in the various datasets being used to train the AI.

Federated learning is an AI training technique that allows AI systems to improve their performance by drawing on multiple sets of data without compromising the privacy of that data. For example, federated learning could be used to draw on privileged patient data from multiple hospitals in order to improve diagnostic AI tools, without the hospitals having access to data on each other’s patients.

Federated learning is a form of machine learning involving multiple devices, called clients. The clients and a centralized server all start with a basic model designed to solve a specific problem. From that starting point, each of the clients then trains its local model using its own data, modifying the model to improve its performance. The clients then send these “updates” to the centralized server. The centralized server draws on these updates to create a , with the goal of having the hybrid model perform better than any of the clients on their own. The central server then sends this hybrid model back to each of the clients. This process is repeated until the system’s performance has been optimized or reaches an agreed-upon level of accuracy.