Artificial intelligence has the potential to transform manufacturing tasks like visual inspection, predictive maintenance, and even assembly. AI algorithms can also be used to optimize manufacturing supply chains, helping companies anticipate market changes. AI is extensively used and is slowly impending in the manufacturing sector, facilitating the industrial Automation. AI is more concerned with the application of such technologies to address industrial pain-points for customer value creation, productivity improvement, and insight discovery. The research report on Artificial Intelligence in Manufacturing Market present by Market Research Inc provides a comprehensive analysis of the market status and development trend, including types, applications, growth, opportunities, rising technology, competitive landscape and product offerings of key players.

Something very interesting is happening within the tech world: the biggest tech giants in Silicon Valley are racing to make your home a vast new playground for all of their new tech devices and platforms. But whatever you do – don't call it the "smart home." According to Google executives, the term "smart home" has fallen out of favor at the company, presumably because it conjures up all kinds of images of surveillance cameras and smart home devices that are constantly monitoring, tracking and listening to you. A better term, according to top Google executives, is the "helpful home." A "helpful home" respects consumer privacy and comes with all sorts of features and benefits to make your life easier.

Recruitment has been going on as a process since time immemorial. However, organised recruitment only came about during World War 2, when workers left their jobs en masse to serve their country. As a direct implication of the war, vacancies opened up a dime a dozen. This saw the emergence of various formal recruitment agencies and freelancers who began advertising their services. As is the norm with every sector, the recruitment industry evolved and around the 1950s, the quintessential'resume' started garnering importance as a method for candidates to showcase their skills and profiles. However, when hundreds of resumes piled on top of one another, companies found it difficult to sort through reams of paper applications.

US Defense Secretary Mark Esper warned during a speech on artificial intelligence at the National Security Commission on Artificial Intelligence public conference Tuesday (Nov. "Beijing has made it abundantly clear that it intends to be the world leader in AI by 2030," Esper said. "While the US faces a mighty task in transitioning the world's most advanced military to new AI-enabled systems, China believes it can leapfrog our current technology and go straight to the next generation." Middle East countries banned from purchasing advanced US drones due to a weapons embargo are increasingly gravitating towards Chinese defense manufacturers. The drone sales are supporting China's expansion across the Middle East, which is home to many strategic US military bases, as well as, future and current routes for Beijing's Belt and Road Initiative.

The key ingredient, the experts say, is 5G. It gives developers the ability to scale up projects more easily because there's no need to build extensive fiber-optic networks to keep data flowing. What's more, 5G networks let internet-connected devices transmit much more information much more quickly--which in turn is spurring developers to come up with more advanced machines that can take maximum advantage of the capability. "5G in the field, in real-world deployments, enhances the value of all these other technologies," says Bill Menezes, a senior principal analyst at information-technology research and advisory firm Gartner Inc. Here's a look at early examples of what is possible when these technologies are yoked together: In the food industry, AI is already being used to track supply chains and ingredient quality, sort produce and even create taste profiles to target specific demographics. And the technology is poised to take on ever more complex tasks as it links up with 5G and networks of online-capable devices known as the Internet of Things.

Scientists from General Electric Co.'s Global Research Center in Niskayuna are partnering with Siena College on a new artificial intelligence program through the Department of Defense. The program is through DARPA, the Defense Department's famed research arm, officially known as the Defense Advanced Research Projects Agency that engages with commercial and educational researchers to develop next generation technologies for the military, although many are eventually adopted for commercial purposes. GE and Siena's Institute of Artificial Intelligence will work together with DARPA's Grounded Artificial Intelligence Language Acquisition program that is working on advancing artificial intelligence programs so the computer systems can "achieve childlike language acquisition and understanding from visual concepts." Artificial intelligence is also known as AI. "Today, 99.9 percent of AI is based on millions of known statistical datapoints with minimal interpretation beyond what the data says," said Peter Tu, GE Research's chief scientist for artificial intelligence, who is leading the DARPA project.

An underlying theme emerged from the Stanford Institute for Human-Centered Artificial Intelligence's fall conference: AI must be truly beneficial for humanity and not undermine people in a cold calculus of efficiency. Titled AI Ethics, Policy, and Governance, the event brought together more than 900 people from academia, industry, civil society, and government to discuss the future of AI (or automated computer systems able to perform tasks that normally require human intelligence). Discussions at the conference highlighted how companies, governments, and people around the world are grappling with AI's ethical, policy, and governance implications. Susan Athey, the Economics of Technology Professor at Stanford Graduate School of Business and faculty associate director at Stanford HAI, spoke about AI's impact on the economy. It's critical, she said, that AI creates shared prosperity and expands -- rather than replaces -- the human experience in life and at work.

Striking the right balance between robot autonomy and human control is a core challenge in social robotics, in both technical and ethical terms. On the one hand, extended robot autonomy offers the potential for increased human productivity and for the off-loading of physical and cognitive tasks. On the other hand, making the most of human technical and social expertise, as well as maintaining accountability, is highly desirable. This is particularly relevant in domains such as medical therapy and education, where social robots hold substantial promise, but where there is a high cost to poorly performing autonomous systems, compounded by ethical concerns. We present a field study in which we evaluate SPARC (supervised progressively autonomous robot competencies), an innovative approach addressing this challenge whereby a robot progressively learns appropriate autonomous behavior from in situ human demonstrations and guidance. Using online machine learning techniques, we demonstrate that the robot could effectively acquire legible and congruent social policies in a high-dimensional child-tutoring situation needing only a limited number of demonstrations while preserving human supervision whenever desirable. By exploiting human expertise, our technique enables rapid learning of autonomous social and domain-specific policies in complex and nondeterministic environments. Last, we underline the generic properties of SPARC and discuss how this paradigm is relevant to a broad range of difficult human-robot interaction scenarios.

Recently, a team of researchers created a neural network that is able to recreate human brain waves in real-time. As reported by Futurism, the research team, comprised of researchers from the Moscow Institute of Physics and Technology (MIPT) and the Neurobotics corporation, were able to visualize a person's brain waves by translating the waves with a computer vision neural network, rendering them as images. The results of the study were published in bioRxiv, and a video was posted alongside the research paper, which showed how the network reconstructed images. The MIPT research team hopes that the study will help them create post-stroke rehabilitation systems that are controlled by brain waves. In order to create rehabilitative devices for stroke victims, neurobiologists have to study the processes the brain uses to encode information.

A pioneering centre aimed at preserving and re-creating people's voices using artificial intelligence has opened in the US, with researchers hoping it will change the lives of people who face losing their ability to speak. Researchers say the venture – a joint effort between Northeastern University in Boston and the company VocaliD – could play an important role in maintaining a sense of identity among those with conditions ranging from throat cancer to motor neurone disease, by offering them the chance to sound like themselves even after self-generated speech has become impossible. Thought to be the first of its kind, the centre's lead researcher is Prof Rupal Patel, the founder and chief executive of VocaliD. While Patel said the company already offered individuals the option to record their voices in their own homes, in reality, many people either lack equipment for high-quality recordings or make recordings with background noise. Patel said there was also a need to offer greater support to those who require such services and make sure patients were aware they were available in plenty of time.