The world of artificial intelligence is beset by hype and hubris. But make no mistake: AI has the potential to make businesses more efficient and faster. Yet, as transformative technologies keep getting smarter and cheaper, businesses' return on innovation investment has declined by 27 per cent over the last five years, according to a report from Accenture. To Ray Eitel-Porter, who heads up Accenture Applied Intelligence in the UK, the evidence points to one problem: companies don't know how to make the most of AI and data analytics, and how they can apply to business problems. AI is a transformative technology, so businesses should be ambitious and think about solutions that would yield ten times the impact of traditional investments – not just a ten per cent improvement.

A voice-controlled robot that can make you perfect grilled cheese sandwiches on demand has been created by a team of students in the US. 'Cheesborg' is the brainchild of engineer Tayor Tabb, 24, and colleagues, who created the toastie maker at Carnegie Mellon University in Pittsburgh, Pennsylvania. The process begins with a voice command to a connected Google Home smart assistant. The cheesy contraption uses a vacuum to begin to assemble the sandwich -- loading two slices of bread and one slice of cheese onto its conveyor belt. Next, the conveyor moves the ingredients into a sandwich press and closes the lid ready for grilling.

The 46th Tokyo Motor Show slated to kick off Thursday will not just focus on futuristic, cutting-edge vehicles, such as self-driving cars, it will also shine a light on unconventional mobility devices and exhibitions for children aimed at reversing flagging attendance. The show once enjoyed a reputation as one of the world's five biggest auto expos along with the Frankfurt, Geneva, Detroit and Paris shows. But it has recently lost its position as Asia's top venue to the Chinese expos in Shanghai, Beijing and Guangzhou. The 46th biennial exhibition, to be held at Tokyo Big Sight convention center and its vicinity through Nov. 4, will be attended by 192 carmakers and organizations from eight countries, down from a peak of 361 in 1995, according to the Japan Automobile Manufacturers Association, the nation's largest auto lobby and the show's organizer. Along with U.S. giants General Motors Co., Ford Motor Co. and Fiat Chrysler Automobiles NV -- which are again skipping Tokyo's show this year, BMW, Volkswagen, Audi, Porsche, Citroen, Volvo and Peugeot will also be absent this year despite participating in 2017.

There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently. Artificial intelligence is gradually becoming a constant presence in many technological applications.

In the small-minded, fear-ridden debate about AI, I think one aspect in particular has gotten short shrift: AI will be critical to the further development of gross domestic product (GDP). The average worldwide growth of 3.5 percent per year is bound to end in the foreseeable future due to demographic trends. Our economies must be transformed. We can do this successfully with the help of AI technologies and a working populace whose activity is not primarily labor-intensive, but skill-intensive, creating value on the basis of qualifications and productivity. Countries or companies who wish to succeed in today's world must make their economies fit for the future.

We are seeing impressive gains in artificial intelligence (AI) systems across diverse industries today: in faster drug discovery with around double the screening success rate; in finance to prevent fraud by analyzing billions of transactions for criminal behavior across multiple networks; and in retail to provide improved, personalized experiences with smarter chatbots, real-time recommendations, and search. Yet, at times, we find ourselves disappointed with suboptimal AI-produced results. Take, as recent examples, the worst-ever performance by AI-hedge funds and of course amplified bias found in recruiting tools. AI is making progress and being applied in just about every aspect of our lives – but we have a ways to go to fulfill the promises of AI with robust and trustworthy systems. Although we are just beginning to understand the full range of AI impact, there are practical steps we can take now to reap near-term benefits, ameliorate dangers, and create a foundation for what will undoubtedly be a frenetic future.

In this research guide, we'll look at deep learning papers aimed at synthesizing video frames within an existing video. This could be in between video frames, known as interpolation, or after them, known as extrapolation. The better part of this guide will cover interpolation. Interpolation is useful in software editing tools as well as in generating video animations. It can also be used to generate clear video frames in sections where a video is blurred. Video frame interpolation is a very common task, especially in film and video production. Optical flow is one of the common tactics used in solving this problem.

"The original Wright flyer was not a useful airplane," said Scott Aaronson, a computer scientist at the University of Texas at Austin who reviewed Google's paper before publication. "But it was designed to prove a point. And it proved the point." A quantum machine, the result of more than a century's worth of research into a type of physics called quantum mechanics, operates in a completely different manner from regular computers. It relies on the mind-bending ways some objects act at the subatomic level or when exposed to extreme cold, like the metal chilled to nearly 460 degrees below zero inside Google's machine. One day, researchers believe, these devices could power advances in artificial intelligence or easily overwhelm the encryption that protects computers vital to national security.

As connected devices--anything from the computer built into a car or a fitness wearable to a smart gas meter or wind turbine--have become cheaper to manufacture, their use has grown rapidly. Some form of connected device or system is now in almost every industry and sector. This proliferation means that traditional maintenance models requiring engineers to have easy physical access to real-world devices and systems are often no longer viable. As such, the need for an alternative management model is growing, which is where "digital twin" AI technology has enormous potential for any enterprise doing business through connected devices. This report looks at the benefits companies can gain from digital twin technology, the options available on the market to take advantage of it, where digital twins are already in use, and what some industries stand to lose by ignoring this AI trend.

Moreover, poor quality can become dangerous if faults cause injuries or other complications. Fortunately, no matter what kind of company you have, artificial intelligence or AI may assist with your quality assurance needs. Here are six examples, along with AI and QA tips you could adopt for your organisation. One of the areas where AI is proving its worth for quality assurance is in the software development sector. AI seems particularly well-suited to regression testing.