Waymo says it will begin driving autonomously in several Los Angeles neighborhoods in the coming months ahead of a wider launch.
Category: robotics/AI – Page 1,311
Thanks to its mild climate, expansive highway network, and lax regulations, Texas has become the country’s proving ground for driverless trucks. From cargo to produce, goods have been traveling the state’s highways partially driver-free (the trucks aim to use autonomous mode on highways, but safety drivers take over to navigate city streets) for a couple of years already. Now there’s another type of cargo traveling through Texas via autonomous trucks: furniture. This week Kodiak Robotics announced a partnership to transport IKEA products using a heavy-duty self-driving truck.
Kodiak has been moving furniture and other IKEA goods since August, but the companies carried out a testing period before making the agreement public. The route runs from an IKEA distribution center in Baytown, east of Houstin, to a store in Frisco, 290 miles away just north of Dallas. It’s mostly a straight shot on highway 45.
Like the self-driving trucks that’ve come before it, the vehicle has a safety driver on board. He or she picks up loaded trailers at the distribution center in the morning and provides driving help where needed, reaching the store by late afternoon; it’s about a five-hour drive in a car, so a bit more in a heavy-duty truck.
Ben Goertzel, PhD, is author of many books on artificial intelligence including Ten Years to the Singularity if We Really Really Try; Engineering General Intelligence, Vols. 1 and 2; The Hidden Pattern: A Patternist Philosophy of Mind; and The Path to Posthumanity. He is also editor (with Damien Broderick) of an anthology about parapsychology titled, Evidence for Psi: Thirteen Empirical Research Reports. He is chief scientific officer for Hanson Robotics in Hong Kong.
Here he notes that, while the question of reincarnation in robots seems outlandish, most of our present technology would have seemed nonsensical and incomprehensible to earlier generations of humans. He quotes the 14th Dalai Lama who suggested (half-jokingly) that artificial intelligence programmers of the future might incarnate into robots. He cites Stephen Braude’s book, Immortal Remains, as demonstrating that we must consider some version of consciousness operating outside of the body. He outlines the sort of scientific and metaphysical models that might lead to such a development.
New Thinking Allowed host, Jeffrey Mishlove, PhD, is author of The Roots of Consciousness, Psi Development Systems, and The PK Man. Between 1986 and 2002 he hosted and co-produced the original Thinking Allowed public television series. He is the recipient of the only doctoral diploma in “parapsychology” ever awarded by an accredited university (University of California, Berkeley, 1980). He is also past-president of the non-profit Intuition Network, an organization dedicated to creating a world in which all people are encouraged to cultivate and apply their inner, intuitive abilities.
(Recorded on April 29, 2016)
A new computational approach will improve understanding of different states of carbon and guide the search for materials yet to be discovered.
Materials—we use them, wear them, eat them and create them. Sometimes we invent them by accident, like with Silly Putty. But far more often, making useful materials is a tedious and expensive process of trial and error.
Scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have recently demonstrated an automated process for identifying and exploring promising new materials by combining machine learning (ML)—a type of artificial intelligence—and high performance computing. The new approach could help accelerate the discovery and design of useful materials.
The goal is to enable the printing of large, complex shaped structures, on any surface, using a swarm of drones, each depositing whatever material is required. It’s a bit like a swarm of wasps building a nest, into whatever little nook they come across, but on the wing.
Even in technical disciplines such as engineering, there is much we can still learn from nature. After all, the endless experimentation and trials of life give rise to some of the most elegant solutions to problems. With that in mind, a large team of researchers took inspiration from the humble (if rather annoying) wasp, specifically its nest-building skills. The idea was to explore 3D printing of structures without the constraints of a framed machine, by mounting an extruder onto a drone.
As you might expect, one of the most obvious issues with this attempt is the tendency of the drone’s to drift around slightly. The solution the team came up with was to mount the effector onto a delta bot carrier hanging from the bottom of the drone, allowing it to compensate for its measured movement and cancel out the majority of the positional error.
The printing method relies upon the use of two kinds of drone. The first done operates as a scanner, measuring the print surface and any printing already completed. The second drone then approaches and lays down a single layer, before they swap places and repeat until the structure is complete.
As if it weren’t enough to have AI tanning humanity’s hide (figuratively for now) at every board game in existence, Google AI has got one working to destroy us all at Ping-Pong as well. For now they emphasize it is “cooperative,” but at the rate these things improve, it will be taking on pros in no time.
The project, called i-Sim2Real, isn’t just about Ping-Pong but rather about building a robotic system that can work with and around fast-paced and relatively unpredictable human behavior. Ping-Pong, AKA table tennis, has the advantage of being pretty tightly constrained (as opposed to playing basketball or cricket) and a balance of complexity and simplicity.
“Sim2Real” is a way of describing an AI creation process in which a machine learning model is taught what to do in a virtual environment or simulation, then applies that knowledge in the real world. It’s necessary when it could take years of trial and error to arrive at a working model — doing it in a sim allows years of real-time training to happen in a few minutes or hours.
Just like a pianist who learns to play their instrument without looking at the keys or a basketball player who puts in countless hours to throw a seemingly effortless jump shot, UCLA mechanical engineers have designed a new class of material that can learn behaviors over time and develop a “muscle memory” of its own, allowing for real-time adaptation to changing external forces.
The material is composed of a structural system made up of tunable beams that can alter its shape and behaviors in response to dynamic conditions. The research finding, which boasts applications in the construction of buildings, airplanes and imaging technologies among others, was published Wednesday in Science Robotics.
“This research introduces and demonstrates an artificial intelligent material that can learn to exhibit the desired behaviors and properties upon increased exposure to ambient conditions,” said mechanical and aerospace engineering professor Jonathan Hopkins of the UCLA Samueli School of Engineering who led the research. “The same foundational principles that are used in machine learning are used to give this material its smart and adaptive properties.”
The new innovative features allow for advanced image editing using artificial intelligence.
Adobe announced new advancements in its Photoshop at its annual Adobe Max conference for technology. These new innovations make the image editing application even smarter in its abilities, and more collaborative. Along with these announcements came a whole new wave of AI advancements and capabilities incorporated into the software.
The flagship desktop app powered by Adobe Sensei AI features numerous improvements, including the one click Delete option and the Fill tool to remove and replace objects with a single click. Along with the AI feature, these improvements were made in time to be introduced at the fall conference. It allows users to remove unwanted elements in their pictures quickly with a shortcut, using Shift + Delete. Another updated feature is the photo restoration neural filter that uses machine learning to detect and get rid of scratches and other small flaws on old photographs.
‘You’re in a world made of marshmallows!’
A Google app that allows people to communicate with artificial intelligence (AI) systems has been made available in the United Kingdom (U.K.) for a limited trial period.
You’re in a world made of marshmallows! As you take a step, a gentle ‘squish’ comes out under your feet. The marshmallow horizon stretches out in all directions. The sky is a gooey, sticky pink.
Andrey Suslov/iStock.
The app called AI Test Kitchen App made for experimenting with Google’s Language Model for Dialogue Applications (LaMDA), conversational AI, cannot learn new skills from users, although it welcomes comments on how it functions, BBC reported on Wednesday.