Despite an endless stream of stories in the media warning of humanity’s impending irrelevance in an automated future, it seems American workers remain rather blasé about the prospect of being automated out of existence in the workplace.
New research by Randstad US contradicts many reports that American workers fear losing their job due to automation.
Nothing is as straightforward as it might first sound. So, for example, one might imagine that, by using generative design software, a designer could set parameters for the computer to produce a structure and then use a 3D printer to output that structure, whether that structure is a single molecule of steel or a larger, more complex structure, like a car body. Basically, you could get the computer to do almost all of the design work.
The technology is available to do those things. And any designer who’s produced countless iterations of one basic design would certainly appreciate such powerful software. But is it really as simple as that? Probably not.
Mitsubishi has updated its human machine interface and integrated what it says is improved visibility and performance.
The company says the improvements to its GT2107 HMI were driven by “end user demand”.
Mitsubishi says the GT2107 is an interface that monitors and controls machine components with a graphical touchscreen that connects to equipment such as programmable logic controllers, variable frequency drives and servos.
Level 0 – No Automation: The full-time performance by the human driver of all aspects of the dynamic driving task, even when enhanced by warning or intervention systems.
Level 1 – Driver Assistance: The driving mode-specific execution by a driver assistance system of either steering or acceleration/deceleration using information about the driving environment and with the expectation that the human driver performs all remaining aspects of the dynamic driving task.
Level 2 – Partial Automation: The driving mode-specific execution by one or more driver assistance systems of both steering and acceleration/deceleration using information about the driving environment and with the expectation that the human driver performs all remaining aspects of the dynamic driving task.
Level 3 – Conditional Automation: The driving mode-specific performance by an Automated Driving System of all aspects of the dynamic driving task with the expectation that the human driver will respond appropriately to a request to intervene.
Level 4 – High Automation: The driving mode-specific performance by an Automated Driving System of all aspects of the dynamic driving task, even if a human driver does not respond appropriately to a request to intervene.
Level 5 – Full Automation: The full-time performance by an Automated Driving System of all aspects of the dynamic driving task under all roadway and environmental conditions that can be managed by a human driver.
The period between about 200,000 and 50,000 years ago saw the amplification of regional diversity in human biology. Given the fragmentary nature of that human fossil record, the nature of these late Middle and early Late Pleistocene humans in the more northern portions of eastern Eurasia has been unclear.
In their recent study, paleontologists from the Institute of Vertebrate Paleontology and Paleoanthropology (IVPP) of the Chinese Academy of Sciences and their collaborators reported two early Late Pleistocene (~105,000- to 125,000-year-old) crania from Lingjing, Xuchang, China. They exhibit a morphological mosaic with differences from and similarities to their western contemporaries. This morphological combination reflects Pleistocene human evolutionary patterns in general biology, as well as both regional continuity and interregional population dynamics.
The Xuchang 1 and 2 crania, excavated in situ in the Lingjing site in Xuchang County of Henan Province between 2007 and 2014, exhibit a distinctive morphological pattern combined with paleobiological trends that appear to have been pan-Old World. They reflect eastern Eurasian ancestry in having low, sagittally flat, and inferiorly broad neurocrania. They share occipital (suprainiac and nuchal torus) and temporal labyrinthine (semicircular canal) morphology with the Neandertals. Continue reading New finds from China suggest human evolution probably of regional continuity
Graham Mackrell, managing director of robotic gearing specialist Harmonic Drive UK, explains the three things industry can take away from the new standard
The British Standards Institute recently released a new set of standards for the ethical design of robots and robotic devices.
The standards highlight the growing need for guidelines on robotic safety, contact with human beings, robotic deception, addiction and possible sexism or racism exhibited by self-learning artificial intelligence systems.
When science fiction writer Isaac Asimov wrote about the three laws of robotics in his book Runaround in 1942, little did he know they would one day become a reality for a world filled with robots.
Rapid advances in the ability to grow cells, tissues and organs of one species within an organism of a different species offer an unprecedented opportunity for tackling longstanding scientific mysteries and addressing pressing human health problems, particularly the need for transplantable organs and tissues.
Piaggio, the company behind the iconic Vespa motor bikes, is launching a cylindrical mobile robot with a carrying capacity of 40 lb
Piaggio Group, which claims to be the largest European manufacturer of two-wheel motor vehicles such as the famous Vespa, has launched Piaggio Fast Forward, a newly-established company based in the US formed to pioneer future robotics-oriented technology.
Piaggio was founded over 130 years ago, but the company says its new division is aiming to “fundamentally rethinking the movement of people and goods”.
Daimler – the parent company of Mercedes-Benz – is placing artificial intelligence at the centre of its plans going forward, says its head of research, Anke Kleinshmit, at the company’s Future Talk conference
How is artificial intelligence influencing tomorrow’s mobility? How can we use its ideas today? How intelligent will the car of the future be? And above all: what role will people play in this?
These were the central questions discussed by Mercedes-Benz experts at the fourth Future Talk in Berlin in dialogue with scientists, engineers and journalists. In the past few years the Mercedes-Benz Future Talk has dealt with the subjects of utopia, robotics and virtuality. This time, the focus was on the integration of artificial intelligence in the field of mobility and the interaction of humans and machines.
Already in the 1960s researchers expected a major breakthrough in the development and application of artificial intelligence, but the human world still proved too complex for digital computers. However, due to the triumph of the internet, the mass of data that has become available with this and the huge increase in computing power of today’s computers, artificial intelligence is now entering people’s lives and also offers big opportunities and potential for the future of the automobile. Continue reading Mercedes research boss prioritises artificial intelligence
There is a persistent myth that the rise of automation, robotics and software is a recipe for disaster. Many people worry that technological innovation will lead to the demise of human jobs, otherwise known as structural unemployment.
These claims are dangerous for “generation Z”, creating an uneasy atmosphere of automation anxiety and paranoia over job security.
Dr De Momi, of the Politecnico di Milano, in Italy, led an international team that trained a robot to imitate natural human actions. De Momi’s work indicates that humans and robots can effectively coordinate their actions during high-stakes events such as surgeries.