Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
When you look more closely at estimates that one-third or one-half of jobs will be "automated," the evidence actually tends to show that one-third to one-half of jobs will be changed in the future by use of technology. Maybe some of those jobs will disappear, but in many other cases, the job itself will evolve, as jobs tends to do over time. Of course, it's a lot less exciting to have a headline which says: "The information technology you use at your job is going to keep changing change in ways that affect what you do at work." Qualifier 2 – job creation from automation An overall view of the effects of automation on jobs also needs to take into account how, over time and in the present, automation has also led to the creation of many new jobs. Lest we forget, the US unemployment rate before the pandemic hit was under 4%, which certainly doesn't look like evidence that total jobs are being reduced.
In the past year, lockdowns and other COVID-19 safety measures have made online shopping more popular than ever, but the skyrocketing demand is leaving many retailers struggling to fulfill orders while ensuring the safety of their warehouse employees. Researchers at the University of California, Berkeley, have created new artificial intelligence software that gives robots the speed and skill to grasp and smoothly move objects, making it feasible for them to soon assist humans in warehouse environments. The technology is described in a paper published online today (Wednesday, Nov. 18) in the journal Science Robotics. Automating warehouse tasks can be challenging because many actions that come naturally to humans--like deciding where and how to pick up different types of objects and then coordinating the shoulder, arm and wrist movements needed to move each object from one location to another--are actually quite difficult for robots. Robotic motion also tends to be jerky, which can increase the risk of damaging both the products and the robots. "Warehouses are still operated primarily by humans, because it's still very hard for robots to reliably grasp many different objects," said Ken Goldberg, William S. Floyd Jr. Distinguished Chair in Engineering at UC Berkeley and senior author of the study.
China's Chang'e-5 probe touched down on the surface of the Moon Tuesday just before 10:30am ET, and it's scheduled to spend the next few days collecting rocks and dust before heading back to Earth. Chinese state news outlets didn't air the touchdown live, but they reported the landing afterward with a brief video showing the probe's shadow encroaching on the pockmarked surface of the Moon. If successful, the Chang'e-5 mission will mark China's first sample-return Moon mission. It will also be the first time humans have harvested lunar rocks in 44 years. Both the United States and the Soviet Union collected Moon material throughout the Space Race in the 1960s and '70s, and US scientists are still studying these samples today.
A four-legged robot dog created by Chinese technology company Tencent has the balance of a King Fu master, new video footage shows. Jamoca, which has been created by Tencent's Robotics X Lab, can walk across a set of uneven poles spaced randomly apart, like'plum blossom piles' used in Kung Fu to teach better balance. It uses a front-facing camera and visual modelling to accurately perceive its environment and achieve'robust eye and foot calibration'. The robot, which is more than three feet in length and weighs 70kg, can walk, run, trot diagonally and jump just like a real dog. Compared with other four-legged robots, including those developed by US firm Boston Dynamics, Jamoca can navigate a course where there are hazardous gaps that can lead to a fall and operate at a higher altitude. According to Beijing-based technology media platform Jiqizhixin, the dog is still in its experimental stages.
Gatik, a Palo Alto and Toronto based autonomous technology company deploying autonomous vehicles for B2B short-haul middle-mile logistics, announced today it has raised $25 million in Series A funding. The round was co-led by Wittington Ventures and Innovation Endeavors with participation from FM Capital and Intact Ventures. Existing investors like Dynamo Ventures, Fontinalis Partners, AngelPad and others participated as well. Gatik's investors bring a wealth of deep experience in automotive, artificial intelligence and supply chain, making them a strong strategic fit for the company's rapid growth. Gatik will use the funding to further expand its operations across North America, its team size in Silicon Valley and growing presence in Canada.
Ask any layperson about their greatest fears when it comes to artificial intelligence, and they think immediately in terms of what they've seen in modern entertainment. Killer robots, killer cars, killer drones – you name it, someone's made a movie of it. These cinematic AIs have one thing in common: they are, or border on, sentience, on self-awareness. From Tony Stark's JARVIS and FRIDAY to Michael Knight's KITT, these machines behave with sentience. By sentience, we mean the ability to subjectively experience things like pleasure or pain, feelings, and emotions.
Despite being relatively new, Robotic Process Automation (RPA) is evolving rapidly and proving its essential value in software testing. In the coming years, it is possible that RPA will become a vital part of the technological and automation landscape. Robotic Process Automation is an automation tool with artificial intelligence (AI) and machine learning (ML) capabilities that can automate high-volume and repetitive tasks usually performed by humans. It enables codeless testing as well as performs tasks such as queries, calculations, and maintenance of records and transactions. RPA technology is composed of software robots (bots) that can mimic a human worker and log into applications, enter data, calculate, complete tasks, and then log out.
Amazon Web Services announced Tuesday that it has inked a multi-year partnership with BlackBerry to develop and market Ivy, BlackBerry's in-vehicle data platform. BlackBerry's Ivy platform aims to offer automakers a standardized way to read vehicle sensor data and analyze it for personalized in-vehicle services. It builds on the capabilities of BlackBerry's QNX platform, its safety-certified embedded OS, as well as AWS' portfolio of IoT and machine learning capabilities. BlackBerry Ivy will support multiple vehicle operating systems and multi-cloud deployments. The system will run on the edge, inside a vehicle's embedded systems, but will be managed and configured from the cloud, the companies said.
BEGIN ARTICLE PREVIEW: From a fruit picking drone to a ‘jumping’ weeding robot: what is the most promising field robot concept in 2020? Future Farming and FIRA have organised a competition in which the best or most promising robot is selected. The jury selected 10 candidates from all submissions. The professional jury will assess these 10 entries. But the public can also vote. What do you think is the most promising field robot concept? Take part in the poll and cast your vote! Recently, Future Farming launched the world’s first Field Robot Catalogue. In this robot catalogue you will find 35 field and harvest robots, which you will be able to buy, lease or hire in 2021. All the robots in the catalogue are commercially available. However, there are also many concepts being developed. From tool carriers to picking drones; manufacturers are doing their best to develop practical robots that will help farmers cope with current and future challenges. 10 Field Ro
This article is part of the Future Agenda, a series from Future Tense in which experts suggest specific, forward-looking actions the new Biden administration should implement. In October, Tesla offered some of its customers an upgrade to its "Autopilot" driver-assistance system called "Full Self-Driving." Anyone familiar with how Tesla cars work knows that "Autopilot" isn't really "autopilot," and "Full Self-Driving" isn't "full" either. For now, the feature allows a car to stay within lanes on a road, automatically brake in an emergency, turn, and respond to traffic signals on its own. But the company warns drivers to "not become complacent" because the vehicle "may do the wrong thing at the worst time."