If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Robotic vacuum cleaners are great: they can clean your house while you are out, sweeping the floors and amusing your cats at the same time. The Eufy BoostIQ RoboVac11S is our top pick for affordable robotic vacuums because it offers excellent suction, can slip under furniture and is so quiet, you'll barely hear it working. It usually retails for $240, but you can get it now for $185.99 with the code eufyrobovac.

But is it available to rent for birthday parties? A tech company in Seattle is touting a new robotic pizza-making machine that, they say, can assemble up to 300 12-inch pizzas per hour. Picnic, the company behind the pizza-spewing apparatus, has reportedly been working on its modular food assembly line for three years, according to GeekWire. And last week, Picnic finally unveiled a pizza-making prototype to the media. The apparatus, which so far has no catchy, trademarkable name, is made out of a series of modules that apply sauce, cheese and toppings as the dough moves along a conveyor underneath each piece of equipment.

The machine learning branch of AI continues to make inroads to corporate banking use cases, and this referenced piece, which appears in The Financial Times, describes another one of those. The blog was written by the CEO of Previse, a 2016 startup based in London, which utilizes data contained in supplier invoices to make smart payment decisions using machine learning algorithms. We have covered the use of AI in corporate banking in several member reports, the latest having to do with receivables management, obviously a related use case. One can argue (as we have) that the cash cycle is all connected anyway, and digital process transition is the initiation point. Actually, comments in a previous posting suggest that cleaning your room is more fundamental, but regardless, the'missing link,' as mentioned in this title, is surely one of the tools in the shed to improve liquidity: 'At present, payments in the B2B sphere are hampered by archaic processes.

Faster and more accurate diagnosis of lung cancer is helping save lives in China. Dr. Yang Yang is a very busy man. Although he agreed to a video interview, he doesn't really have time to talk. Cameras and lights are set up in a small brick-walled room at the end of a narrow hallway in the largest pulmonary hospital in Shanghai, but we are unsure when he will show up to discuss how it came about that he is using machine learning to diagnose lung cancer in his patients. Click the button below to load the content from Youtube.

It is fascinating to see how fast financial services leverage the initial personalised scores built by big tech giants in China to onboard their new customers and enhance their more traditional risk models. Some insurers in China are also using technology to offer services outside the boundaries of traditional insurance through digital ecosystem partnerships. This process has enabled them to leverage new customer interactions and gain deeper risk insights to further personalise their product and services proposition to improve the insurance customer journey. Often times the personalisation of products also requires dynamic risk management features where a strong reinsurance partner is proven to be valuable. Building stronger partnerships with digital partners, accessing more customer data and digital interaction while leveraging developments on artificial intelligence and cognitive systems will enable insurers to activate dynamic risk management.

Artificial intelligence (AI) software can help radiologists perform their jobs better. But the ethical use of the technology in the field should promote well-being and minimize harm resulting from potential biases, according to a multi-society statement on the ethical use of AI in radiology. The statement, which includes views from the American College of Radiology (ACR) and the European Society of Radiology, aims to set expectations about the use of AI in the field of radiology and inform a common interpretation of the ethical issues related to the use of the technology. "This international multi-society statement is one step to help the radiology build an ethical framework to steer technological development, influence how stakeholders respond to and use AI and implement these tools to do right for patients," Raymond Geis, M.D., a senior scientist at the ACR Data Science Institute, said in a statement to Inside Digital Health . The societies focused on three major areas while creating the statement: data, algorithms and practice.

Technological efficiencies will result in the biggest reduction in headcount across the U.S. banking industry in its history, with an estimated 200,000 job cuts over the next decade, Wells Fargo & Co. said in a report. The $150 billion annually that the country's finance firms are spending on tech -- more than any other industry -- will lead to lower costs, with employee compensation accounting for half of all bank expenses, said Mike Mayo, a senior analyst at Wells Fargo Securities LLC. Back office, bank branch, call center and corporate employees are being cut by about a fifth to a third, with jobs related to tech, sales, advising and consulting less affected, according to the study. "It will be a dramatic change in contact centers, and these are both internal and external," Michael Tang, a Deloitte partner who leads the consulting firm's global financial-services innovation practice, said in an interview in the Wells Fargo report. "We're already seeing signs of it with chatbots, and some people don't even know that they're chatting with an A.I. engine because they're just answering questions."

San Jose, Calif., October 1, 2019 – Virtual Instruments, the leader in hybrid infrastructure management for mission-critical workloads, announced today its participation at HitachiNEXT 2019, taking place October 8-10 in Las Vegas, and NetApp INSIGHT 2019, taking place October 28-30 in Las Vegas. By holistically monitoring, analyzing and optimizing the performance, availability, capacity and efficiency of hybrid IT infrastructure within the context of the application, VirtualWisdom enables enterprises to take a modern, AIOps-empowered approach to infrastructure management. The latest version of VirtualWisdom applies real-time, AI-based analytics to help enterprises proactively manage the hybrid infrastructure supporting their mission-critical applications. Meanwhile, WorkloadWisdom analyzes production storage workloads, models workloads, creates what-if testing scenarios, and produces workload performance analytics, ultimately offering users better insight into how workload behavior affects storage system performance. NEXT 2019 is the largest annual event for Hitachi Vantara users, with a focus on sharing the best ideas to store, protect, enrich, activate and monetize data.

Ironically, people are more likely to trust AI when they don't know it's being used. AI is proving itself superior to human intelligence in an expanding number of fields. That is, except when people know AI is being used. Yes, because in certain human-centric sectors, the performance of artificial intelligence starts to drop off if people are apprised of the involvement of an intelligent machine. In fact, human resistance would seem to be the achilles heel of artificial intelligence, since for all the recent advances of AI technology this resistance is preventing AI from doing its job in areas where human contact and interaction would normally play a central role. This message was brought home most recently by a study published in Marketing Science on September 20, titled "The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases."

Today it helps you find something faster using your smartphone and voice assistant. Besides that, many other sectors use AI and machine learning to improve their working processes and make them smarter. Logistics is not an exception. We will explore 5 ways of how AI revolutionizes the logistics industry. As McKinsey notes, companies inf various industries may multiply their revenue by up to $2 trillion per year due to AI integration into the supply chain or manufacturing process.