Convincing a robot that we are the perfect candidate for a job is a challenge we have to start getting used to. The use of artificial intelligence (AI) is becoming widespread in all those areas that can be digitized within a company, such as personnel selection, a fairly natural process, since machine learning is extremely useful when applied in processes that have repetitive and very similar tasks. It has been years since large companies such as L'Oréal, Unilever, Telepizza, Vodafone or McDonald's started using this tool to fine-tune their personnel selection, but the proof that it has stopped being a trend to become a reality is that companies specialized in AI-driven job interviews reported an increase in services during the pandemic. Its main utility is that it can be applied throughout the selection cycle. That is, it allows contacting candidates; filtering resumes; conducting pre-interviews via video with predefined questions in which answers, body reactions and behavioral patterns are analyzed; and producing final reports.
Greg Nichols covers robotics, AI, and AR/VR for ZDNet. A full-time journalist and author, he writes about tech, travel, crime, and the economy for global media outlets and reports from across the U. Robots are getting in on the effort to curb our addiction to single-use plastics. A new partnership between one of the largest industrial robotics manufacturers and a compostable packaging company points the way to an efficient and cost-effective green packaging revolution. ABB Robotics has signed an agreement to collaborate with California-based Zume, which makes the compostable packaging that's becoming more commonplace as an alternative to plastics. ABB's robotic cells will help Zume speed up and scale production of 100% compostable packaging made from plant-based agricultural material.
U..S. employment statistics hit a new milestone last year, but not a positive one. In August 2021, almost 4.3 million workers quit their jobs, according to the U.S. Department of Labor. That's the highest number since the department began tracking voluntary resignations. Their reasons for leaving their jobs vary--the numbers track people who quit for a different position, as well as those who quit without having another job lined up. While the reasons for quitting vary, one thing is clear: Businesses are having a tough time getting employees to come back.
On March 2, 2021, at a virtual forum attended by stakeholders across the entire industry, the Consumer Product Safety Commission (CPSC) reminded us all that it has the last say on regulating AI and machine learning consumer product safety. The CPSC defines AI as "any method for programming computers or products to enable them to carry out tasks or behaviors that would require intelligence if performed by humans" and machine learning as "an iterative process of applying models or algorithms to data sets to learn and detect patterns and/or perform tasks, such as prediction or decision making that can approximate some aspects of intelligence."3 To inform the ongoing discussion on how to regulate AI, machine learning, and related technologies, the CPSC provides the following list of considerations: Do AI and machine learning affect consumer product safety? Do AI and machine learning affect consumer product safety? UL 4600 Standard for Safety for the Evaluation of Autonomous Products covers "fully autonomous systems that move such as self-driving cars along with applications in mining, agriculture, maintenance, and other vehicles including lightweight unmanned aerial vehicles."5
Security cameras are everywhere, but artificial intelligence is changing the way they are being used. KRON4 tested one such system at a grocery store in San Jose to see how A.I. is preventing shoplifting. Picture this scenario, someone walks into Lunardi's Market on Meridian Street. They decide to take home a nice bottle of Merlot -- only they also decide not to pay. But before they can walk out the door, the store manager steps in and stops them.
In addition, "alternative foods" led by food artificial intelligence technology companies are offered as a solution to global warming and animal welfare issues caused by factory farming and food shortages due to population growth. Alternative foods are proteins derived from proteins or alternative meat or dairy products from cell culture, or alternative proteins from edible insects. As burgers with vegetable protein substitutes have already gained recognition in terms of taste and quality in the United States, substitute meat is predicted to account for 60% of global meat consumption by 2040 and become popular. Now is the era of'environmentally friendly' rather than'eco-friendly'. Food safety anxiety from production to consumption is also reduced by a management system based on Artificial intelligence and big data, and food taste and texture are also formatted with a 3D food printer that takes into account not only personal health but also the health of the earth.
It is not often that I am able to combine two of my life's passions: future tech and wine. When we think about the wine business, the images that come to mind might be more of vineyards stretching across the French countryside than of robots and digital transformation. But the fact is that the industry has always been driven by science, technology and innovation. Today, things are no different. The latest wave of technology-driven change is focused on artificial intelligence (AI), the internet of things, augmented reality and blockchain.
They all had some effect, surely. Could I have done it without them? Hang on, what *is* the it that I wouldn't have done? Real life usually lacks counterfactuals. I sense this topic could add some spice to the discussions of those who have been asking about the role of psychoactive substances in art since time immemorial, though the AI component adds nothing fundamentally new.
Food processing and handling is the most important business among the numerous manufacturing businesses in the world that provide the most employment opportunities. The human workforce is critical to the successful production and packaging of food products. The food industry is failing to sustain the demand-supply cycle and is also deficient in food safety as a result of human engagement. Industrial automation is the best approach for overcoming these challenges in the food industry. Artificial intelligence (AI), machine learning (ML), and deep learning (DL) techniques are used to automate everything.
Unraveled, chaotic meals could be a thing of the past for burrito lovers thanks to a group of engineering students from Johns Hopkins University and their lunch-saving invention. Dubbed'Tastee Tape', the invention is simply edible sticky tape designed to hold a burrito together while it's being eaten. 'Tastee Tape allows you to put full faith in your tortilla and enjoy your meal, mess-free,' said Tyler Guarino, who led the project. Unraveled, chaotic meals could be a thing of the past for burrito lovers thanks to a group of engineering students from Johns Hopkins University and their lunch-saving invention. Dubbed'Tastee Tape', the invention is simply edible sticky tape designed to hold a burrito together while it's being eaten The team tested a'multitude' of ingredients and combinations before settling on a final recipe.