Sharp Corp. on Monday released three new models of its RoBoHon humanoid robot with a wider range of use for families and corporate clients. The new lineup -- two walking models and one that remains seated -- focuses more on family users with small children, who can experience "life with robots," the company said during an event in Tokyo. The number of apps that can be loaded on the robots will gradually increase to 46 from the current 30, the company said. These include an app that sends an image taken by the robot of a family member returning home to a user's email address. Users can try real-time monitoring of their homes through the app for an extra monthly charge of ¥300 plus tax.

Configuring neural network models is often referred to as a "dark art." This is because there are no hard and fast rules for configuring a network for a given problem. We cannot analytically calculate the optimal model type or model configuration for a given dataset. Fortunately, there are techniques that are known to address specific issues when configuring and training a neural network that are available in modern deep learning libraries such as Keras. In this crash course, you will discover how you can confidently get better performance from your deep learning models in seven days.

Dr Genevera Allen from Rice University in Houston said that the increased use of such systems was contributing to a "crisis in science". She warned scientists that if they didn't improve their techniques they would be wasting both time and money. Her research was presented at the American Association for the Advancement of Science in Washington.

New technologies and solutions have been applied to a number of long-running services. These always try to make them more accurate, faster and issues-free as far as they can go, and they have achieved (in most cases) an impressively high hit rate. The latest comes in the shape of a new revolutionising solution able to sort out a psychographic credit score based on cultural and behavioural principles besides the well-known economic data. AdviceRobo's team are behind such invention and it is said to give another twist to a controversial metric measure. AdviceRobo demoed at FinovateEurope 2019 its revolutionizing solution to "assess credit quality by applying smart psychographic credit processing, artificial intelligence and the internet of things. This is world's first solution that integrates lifestyles, attitudes and beliefs of people and other behavioural data into smart credit software," they said in a press release.

Today, we are no longer confined to what nature or natural intelligence must offer. From the steam engine to electricity and digital transformations to artificial intelligence, molecular manufacturing and bioengineering, each new transformative innovation has brought us a new (man-made) way of doing things in ways that nature did not provide for. As new ways of manufacturing and production are emerging, they are taking away an ever-increasing number of tasks and roles previously performed by a human labor force. Furthermore, the automation, self-improvement, self-replication and distributed nature of the manufacturing processes are producing products and goods at a minimal cost. As a result, each of these existing and emerging technologies, individually and collectively, will likely one day eliminate the need for human labor for production of goods and services--shaking the very fundamentals of economics as we know today.

Example 1 – Forms Input mode Document characteristics Outcome Output mode Workflow application Data entry Type of content Structured Variance Low Document type Readable/ image PDF Outcome type Extract set of fields Transformation Rules-based and look-ups Private and confidential.

IT and business leaders are often confused about what artificial intelligence (AI) can do for their organisations and are challenged by several AI misconceptions. Gartner says IT and business leaders developing AI projects must separate reality from myths to devise their future strategies. "With AI technology making its way into the organization, it is crucial that business and IT leaders fully understand how AI can create value for their business and where its limitations lie," says Alexander Linden, research vice-president at Gartner. "AI technologies can only deliver value if they are part of the organization's strategy and used in the right way." Gartner has identified five common myths and misconceptions about AI. AI is a computer engineering discipline.

It was one of the most infamous companies in Japan, rocking the nation with a corporate scandal that ousted a prime minister and then nearly collapsing under a mountain of debt. Now, Recruit Holdings Co. is back, reinvented by a group of employees who quietly turned the magazine publisher and job placement firm into an internet giant that touches the lives of almost every consumer in the world's third-biggest economy. If Recruit were a U.S. company, it would be like having LinkedIn, Zillow, Yelp, eHarmony, Booking.com, "We are there, every time people choose to do things," said Masumi Minegishi, Recruit's 55-year-old chief executive officer. As the biggest internet companies compete for world domination with apps that track consumers and use artificial intelligence to crunch data and provide tailored services, Recruit is Japan's leading contender.

UAE-based automotive company W Motors' has announced the unveiling of MUSE at Auto Shanghai 2019 on April 16. The fully-electric MUSE features a Level 4 / Level 5 autonomous driving system, innovative user interfaces and cloud-computed connectivity, as well as several interior configurations catering to different business needs and consumer requirements. It will be fully produced in Dubai, UAE by W Motors at the all-new production facility of which the first phase is set to be completed in the last quarter of 2019. Pioneers of the future of driving, W Motors is the first and only automotive developer in the Middle East - in partnership with sister company ICONIQ Motors - to release a self-driving vehicle, designed to be on the road for EXPO 2020 in Dubai. MUSE was developed by W Motors and ICONIQ Motors in collaboration with international partners AKKA Technologies, Magna Steyr and Microsoft USA, each offering highly specialized and cutting-edge technologies in the realm of advanced autonomous driving solutions.