Menu

Blog

Archive for the ‘robotics/AI’ category: Page 863

Feb 10, 2022

Black Hawk flies unmanned at Fort Campbell, using new ALIAS technology

Posted by in categories: military, robotics/AI

FORT CAMPBELL, KY (AP) — A helicopter flew unmanned around Fort Campbell recently in what is the Army’s first automated flight of an empty Black Hawk, officials said.

The 14,000-pound UH-60A Black Hawk successfully navigated around the post as if it were downtown Manhattan, engineers told reporters Tuesday.

The DARPA Aircrew Labor In-Cockpit Automation System (ALIAS) program took the helicopter on 30-minute flight on Feb. 5. It was the first time the system known as ALIAS flew completely by itself. The system is being tested with 14 military aircraft.

Feb 9, 2022

New Technology for the U.S. Army | Neuralink Prepares for Human Tests | Technology News

Posted by in categories: cryptocurrencies, cyborgs, Elon Musk, internet, military, robotics/AI, space travel

👉For business inquiries: [email protected].

✅ Instagram: https://www.instagram.com/pro_robots.

Continue reading “New Technology for the U.S. Army | Neuralink Prepares for Human Tests | Technology News” »

Feb 9, 2022

DARPA flew a Black Hawk helicopter without a pilot for 30 minutes

Posted by in categories: robotics/AI, transportation

Feb 9, 2022

Can Next-Generation Simulation Build A Better Self-Driving Car? This AI Upstart Thinks So

Posted by in category: robotics/AI

Waabi, a Toronto-based AI startup that came out of stealth last year, says it’s developed an advanced simulator that can train autonomous vehicles to handle nearly limitless types of driving conditions-in a virtual world-and do so faster and more thoroughly than self-driving rivals that prioritize road tests.

The Waabi World platform is more comprehensive than any used by competitors as it can more accurately mimic real-world scenarios and create the types of rare, challenging “edge cases” that occur on the road only rarely, company founder and CEO Raquel Urtasun tells *Forbes*. Learning in this elaborate virtual world is happening constantly, preparing the software to eventually drive a range of vehicles from robotaxis to semi-trucks.

It’s the “most scalable, high-fidelity, closed-loop simulator that ever existed and, we believe, the key to unlocking self-driving technology at scale,” says Urtasun, who is also professor of computer science at the University of Toronto and a past chief scientist for Uber’s autonomous vehicle team. “It’s an immersive and reactive environment that can automatically design tests for our self-driving brain, which we call the Waabi Driver, and also automatically assess the skills of the Waabi Driver. Ultimately, it can also teach the Waabi Driver to learn the skills of driving.”

Continue reading “Can Next-Generation Simulation Build A Better Self-Driving Car? This AI Upstart Thinks So” »

Feb 9, 2022

Graphene biosensor will drive new innovations in brain-controlled robotics

Posted by in categories: materials, robotics/AI

A non-invasive graphene-based sensor detects brain waves with high sensitivity and reliability.

Feb 9, 2022

Researchers develop a drone-based system to detect marine debris

Posted by in categories: drones, information science, mapping, robotics/AI

The algorithms spot and classify synthetic-material objects based on the distinctive manner in which they reflect polarized light. Polarized light reflected from human-made objects often differs from natural objects, such as vegetation, soil, and rocks.

The researchers tested such a camera, both on the ground and from a US Coast Guard helicopter, which was flying at the altitude at which the polarimetric-camera-equipped drones will fly.

Once fully operational, data collected by the drone-based machine learning system will be used to make maps that show where marine debris is concentrated along the coast to guide rapid response and removal efforts. The researchers will provide NOAA Marine Debris Program staff with training in the use of the new system, along with standard operating procedures manual.

Feb 9, 2022

Top resources to learn quantum machine learning

Posted by in categories: business, information science, quantum physics, robotics/AI

Quantum computing and machine learning are two of the most exciting technologies that can transform businesses. We can only imagine how powerful it can be if we can combine the power of both of these technologies. When we can integrate quantum algorithms in programs based on machine learning, that is called quantum machine learning. This fascinating area has been a major area of tech firms, and they have brought out tools and platforms to deploy such algorithms effectively. Some of these include TensorFlow Quantum from Google, Quantum Machine Learning (QML) library from Microsoft, QC Ware Forge built on Amazon Braket, etc.

Students skilled in working with quantum machine learning algorithms can be in great demand due to the opportunities the field holds. Let us have a look at a few online courses one can use to learn quantum machine learning.

In this course, the students will start with quantum computing and quantum machine learning basics. The course will also cover topics on building Qnodes and Customised Templates. It also teaches students to calculate Autograd and Loss Function with quantum computing using Pennylane and to develop with the Pennylane.ai API. The students will also learn how to build their own Pennylane Plugin and turn Quantum Nodes into Tensorflow Keras Layers.

Feb 9, 2022

Researchers develop methodology for streamlined control of material deformation

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

Can you crumple up two sheets of paper the exact same way? Probably not—the very flexibility that lets flexible structures from paper to biopolymers and membranes undergo many types of large deformations makes them notoriously difficult to control. Researchers from the Georgia Institute of Technology, Universiteit van Amsterdam, and Universiteit Leiden have shed new light on this fundamental challenge, demonstrating that new physical theories provide precise predictions of the deformations of certain structures, as recently published in Nature Communications.

In the paper, Michael Czajkowski and D. Zeb Rocklin from Georgia Tech, Corentin Coulais from Universiteit van Amsterdam, and Martin van Hecke of AMOLF and Universiteit Leiden approach a highly studied exotic elastic material, uncover an intuitive geometrical description of the pronounced—or nonlinear—soft deformations, and show how to activate any of these deformations on-demand with minimal inputs. This new theory reveals that a flexible mechanical structure is governed by some of the same math as electromagnetic waves, phase transitions, and even black holes.

“So many other systems struggle with how to be strong and solid in some ways but flexible and compliant in others, from the human body and micro-organisms to clothing and industrial robots,” said Rocklin. “These structures solve that problem in an incredibly elegant way that permits a single folding mechanism to generate a wide family of deformations. We’ve shown that a single folding mode can transform a structure into an infinite family of shapes.”

Feb 9, 2022

Welcome, Ziva Dynamics!

Posted by in category: robotics/AI

Unity acquires Ziva Dynamics, leader in sophisticated simulation and deformation, machine learning, and real-time character creation.

At Unity, we are laser-focused on democratizing tools for creators, so that the industry’s most brilliant gems are available to all, not just a select few. And we are continuously focused on helping artists make their dreams a reality.

Continue reading “Welcome, Ziva Dynamics!” »

Feb 9, 2022

New set of chemical building blocks makes complex 3D molecules in a snap

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

A new set of molecular building blocks aims to make complex chemistry as simple and accessible as a toy construction kit.

Researchers at the University of Illinois Urbana-Champaign and collaborators at Revolution Medicines Inc. developed a new class of chemical building blocks that simply snap together to form 3D with complex twists and turns, and an automated machine to assemble the blocks like a 3D printer for molecules.

This automation could allow chemists and nonchemists alike to develop new pharmaceuticals, materials, diagnostic probes, catalysts, perfumes, sweeteners and more, said study leader Dr. Martin D. Burke, a professor of chemistry at Illinois and a member of the Carle Illinois College of Medicine, as well as a medical doctor. The researchers reported their findings in the journal Nature.

Page 863 of 2,040First860861862863864865866867Last