If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Many organisations have established an AI policy. Some companies, such as IBM1, Google2 and others have made these available online. Here, we propose ten - largely risk-based - considerations that synthesise the various societal, legal, ethical and engineering challenges that organisations need to consider in developing an AI system. In a recent report, Accenture reported that 63% of AI adopters had an ethics committee3. Establishing an AI ethics committee to oversee the use of AI will ensure adherence to the law, promote best practice, oversee risk and provide authority for periodic audit.
Making new friends, or even catching up with old ones, can be hard enough when you're 93 years old and living in fear of the coronavirus. Which is why Chui Dip-sai has been so grateful for Temi, an Israeli-developed service robot that has become the Hong Kong nursing home resident's constant companion after city-wide lockdowns have kept family and friends away. "It is very easy to use," Chui told the Nikkei Asian Review in a video interview facilitated by the Cantonese-speaking robot on wheels. "I always talk with Temi, and I don't feel bored anymore." With a tablet-like screen for a face, and voice control powered by Google, Temi can keep Chui entertained for hours with music, videos and other diversions.
The ubiquitous use of the term "Artificial Intelligence" (AI) in recent years has led to a devaluation in its meaning. This is problematic, as, when utilised effectively, the technology can unlock countless new revenue streams and drastically improve business operations for almost any organisation. One aspect of AI that is already making waves in the business world is Robotic Process Automation (RPA); a facet of AI that can extract and process different types of data to provide actionable insights. In essence, RPA provides a way of automating the menial and basic but essential tasks, such as billing and tax returns, that every company is required to carry out. This has particular potential in the field of enterprise mobility – the use of mobile devices for business.
Getting lost in the latest tech talk? Don't know your AI from your ML? Then it's time to learn how to talk AI like an expert. The term AI/ML has become exceptionally popular but what exactly to the experts mean they refer to AI/ML? "AI/ML" is a field in computer science which tries to use computers to solve problems that were previously only "solvable" by humans. For years, computers excelled at number crunching but certain tasks, such as voice recognition (hearing), object recognition in photos (vision) and predicting the behaviour of agents in unconstrained or uncertain environments, remained a challenge for programmers to overcome. These days, computer algorithms can perform as well or better than humans on a few narrow tasks that typically take a human between 0 and 3 seconds (rule of thumb) to perform.
Two chefs get blasted in the face with a mystery entree on Dishmantled. Two chefs get blasted in the face with a mystery entree on Dishmantled. The streaming service Quibi -- short for "quick bites" -- calls itself "the first entertainment platform designed specifically for your phone." Perfect for the busy, distracted, on-the-go consumer! Too bad none of us are on-the-going anywhere, these days.
Against a backdrop of startling international developments, such as Brexit and the Hong Kong protests, Japan's financial sector is uniquely positioned to step out of the shadows of its competitors in Singapore and Hong Kong. This is the assessment of The Organization of Global Financial City Tokyo -- also known as FinCity.Tokyo -- which, on March 19, held its FinCity Global Forum at the Grand Hyatt Tokyo in Roppongi to explore the opportunities and challenges that await Japan in its pursuit to become a top global financial hub. Established in April 2019, FinCity.Tokyo is an organization that promotes Tokyo as a global financial hub and supports foreign financial services firms set up in Tokyo. In addition to the keynote and other speeches, the forum consisted of a series of panel discussions that invited industry veterans to discuss a wide array of topics, ranging from regional revitalization and socially oriented asset management to competition and collaboration among international financial cities. The first panel, centered on the theme of "Advancement of the Asset Management Industry and Global Financial City Initiative," invited panelists Yasumasa Tahara, director of the strategy development division at the Financial Services Agency; Kazuhide Toda, managing executive officer and chief investment officer at Nippon Life Insurance Company; and Oki Matsumoto, chairman and CEO at Monex Group Inc., to share their thoughts on how the industry can improve its asset management environment.
Whether it's a dog chasing after a ball, or a monkey swinging through the trees, animals can effortlessly perform an incredibly rich repertoire of agile locomotion skills. But designing controllers that enable legged robots to replicate these agile behaviors can be a very challenging task. The superior agility seen in animals, as compared to robots, might lead one to wonder: can we create more agile robotic controllers with less effort by directly imitating animals? In this work, we present a framework for learning robotic locomotion skills by imitating animals. Given a reference motion clip recorded from an animal (e.g. a dog), our framework uses reinforcement learning to train a control policy that enables a robot to imitate the motion in the real world.
The 15th Annual ACM/IEEE International Conference on Human Robot Interaction – HRI 2020 – was meant to take place in the city of Cambridge UK. Instead it will be launching online today. You can follow latest happenings on twitter and youtube. Check here for a list of all the papers. The theme of this year's conference is "Real World Human-Robot Interaction," reflecting on recent trends in the HRI community toward creating and deploying systems that can facilitate real-world, long-term interaction between robots and users.
Kazuhm announced the availability of advanced AI-driven insights and controls in the latest release of their distributing computing platform. Newly added functionality uses artificial intelligence algorithms to forecast available computing capacity across corporate assets including servers, desktops, laptops, and multi-cloud resources. Additionally, users can now more precisely control when any given compute resources are used based on configurable exclusion windows and usage limits. The Kazuhm platform represents the first time distributed computing is available as an enterprise-grade product enabling organizations to take full advantage of the computing power they already own across all their devices from desktops, laptops and tablets to servers and multi-cloud environments. Kazuhm allows customers to quickly and easily unify their resources and run enterprise applications faster, more securely, and at a lower cost.