Archive for the ‘robotics/AI’ category: Page 1074
Jul 21, 2022
Quantum computer works with more than zero and one
Posted by Shubham Ghosh Roy in categories: particle physics, quantum physics, robotics/AI
We all learn from early on that computers work with zeros and ones, also known as binary information. This approach has been so successful that computers now power everything from coffee machines to self-driving cars and it is hard to imagine a life without them.
Building on this success, today’s quantum computers are also designed with binary information processing in mind. “The building blocks of quantum computers, however, are more than just zeros and ones,” explains Martin Ringbauer, an experimental physicist from Innsbruck, Austria. “Restricting them to binary systems prevents these devices from living up to their true potential.”
The team led by Thomas Monz at the Department of Experimental Physics at the University of Innsbruck, now succeeded in developing a quantum computer that can perform arbitrary calculations with so-called quantum digits (qudits), thereby unlocking more computational power with fewer quantum particles. Their study is published in Nature Physics.
Jul 21, 2022
Defense Department to fund Brown faculty work on neural networks for AI
Posted by Shubham Ghosh Roy in categories: mathematics, robotics/AI
George Karniadakis, a professor of applied math and engineering, was one of nine faculty scientists and engineers from across the U.S. to receive a Vannevar Bush Faculty Fellowship.
Jul 21, 2022
Aboriginal language could help solve complex AI problems
Posted by Shubham Ghosh Roy in category: robotics/AI
Jingulu—a language spoken by the Jingili people in the Northern Territory—has characteristics that allow it to be easily translated into AI commands.
An Aboriginal language could hold the key to solving some of the most challenging communication problems between humans and artificial intelligence (AI) systems.
A new paper, published by Frontiers in Physics and led by UNSW Canberra’s Professor Hussein Abbass, explains how Jingulu—a language spoken by the Jingili people in the Northern Territory—has characteristics that allow it to be easily translated into AI commands.
Jul 20, 2022
Using artificial intelligence to train teams of robots to work together
Posted by Dan Kummer in categories: drones, employment, robotics/AI
When communication lines are open, individual agents such as robots or drones can work together to collaborate and complete a task. But what if they aren’t equipped with the right hardware or the signals are blocked, making communication impossible? University of Illinois Urbana-Champaign researchers started with this more difficult challenge. They developed a method to train multiple agents to work together using multi-agent reinforcement learning, a type of artificial intelligence.
“It’s easier when agents can talk to each other,” said Huy Tran, an aerospace engineer at Illinois. “But we wanted to do this in a way that’s decentralized, meaning that they don’t talk to each other. We also focused on situations where it’s not obvious what the different roles or jobs for the agents should be.”
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Jul 20, 2022
Top 5 Low-Code Platforms to Develop AI Applications in 2022
Posted by Jose Ruben Rodriguez Fuentes in categories: business, robotics/AI
With the growing technological advancements, it is now possible to create complex applications without spending huge amounts of money, waiting for months and years, and employing multiple developers. The introduction of low-code and no-code platforms has made it possible to build applications integrated with advanced technologies. Here, we have listed some of the most prominent low-code platforms that developers can use to create AI applications in 2022.
Microsoft PowerApps: Microsoft PowerApps is a low-code platform that allows users to create business applications without writing code. The platform uses a drag-and-drop interface to build applications from a set of pre-built components that enables citizen developers to create business applications without writing code.
Salesforce Platform: Salesforce Platform is the first low-code platform that delivers the power and flexibility of an enterprise-grade custom app with the speed, agility, and simplicity of a SaaS app. It provides a visual drag-and-drop interface for creating applications and it offers a variety of ready-to-use templates.
We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15.
DALL·E, the AI system that creates realistic images and art from a description in natural language, is now available in beta. Today we’re beginning the process of inviting 1 million people from our waitlist over the coming weeks.
Jul 20, 2022
A new plasma robot can dig tunnels 100 times faster and 98% cheaper
Posted by Gemechu Taye in category: robotics/AI
Unlike conventional boring machines, which typically use massive cutting wheels to slowly excavate tunnels, Earthgrid’s robot blasts rocks with high temperatures to break and even vaporize them via a process called spallation.
The machine can run on electricity, meaning it can also be emissions-free, depending on how energy is sourced. Earthgrid also claims that its system, which doesn’t need to come into contact with the rocks directly as it excavates, is so fast and cheap it will open up a whole host of possibilities. In other words, projects that were once deemed economically unfeasible will now be possible.
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Jul 20, 2022
We tested AI interview tools. Here’s what we found
Posted by Shubham Ghosh Roy in category: robotics/AI
One gave our candidate a high score for English proficiency when she spoke only in German.
Babies rapidly develop this ability by soaking up data from their external environments, forming a sort of “common sense” about the dynamics of the physical world. When things don’t move as expected—say, in magic tricks where objects disappear—they’ll show surprise.
For AI, it’s a completely different matter. While recent AI models have already trounced humans from game play to solving decades-old scientific conundrums, they still struggle at developing intuition about the physical world.
This month, researchers at Google-owned DeepMind took inspiration from developmental psychology and built an AI that naturally extracts simple rules about the world through watching videos. Netflix and chill didn’t work on its own; the AI model o nly learned the rules of our physical world when given a basic idea of objects, such as what their boundaries are, where they are, and how they move. Similar to babies, the AI expressed “surprise” when shown magical situations that didn’t make sense, like a ball rolling up a ramp.
