In the not-so-distant future, more robots may be interacting with customers at shopping complexes, serving food at restaurants or cleaning floors at offices in Japan amid a serious labor crunch. A hint of what is to come is visible at the International Robot Exhibition 2019, a major biennial robot trade show that kicked off on Wednesday at Tokyo Big Sight. The event runs until Saturday. Featuring a record 637 firms and organizations, some participants said demand for robotics as helping hands in service sectors is rising to compensate for a shortage of workers. Tokyo-based Omron Social Solutions Co. unveiled a robot capable of performing three tasks: cleaning, security and guiding.

Tis the end of the year when pundits typically dust off the crystal ball and take a stab at what tech, and its impact on consumers, will look like over the next 12 months. But we're also on the doorstep of a brand-new decade, which this time around promises further advances in 5G networks, artificial intelligence, quantum computing, self-driving vehicles and more, all of which will dramatically alter the way we live, work and play. So what tech advances can we look forward to in the new year? Here's what we can expect to see in 2020 – and in some cases beyond. The next generation of wireless has showed up on lists like this for years now. But in 2020, 5G really will finally begin to make its mark in the U.S., with all four major national carriers – three if the T-Mobile-Sprint merger finally goes through – continue to build out their 5G networks across the country.

A new robotic police dog is being used in Massachusetts. While police robotics aren't new, they are raising questions about oversight and whether they could be weaponized.

Samsung Electronics has partnered up with Baidu to produce its new cloud-to-edge artificial intelligence (AI) chip, Kunlun, with mass production slated for early next year, the companies announced. It is the first such partnership between the South Korean tech giant and Chinese search behemoth. Kunlun will be built on Baidu's own XPU neural processor architecture for cloud, edge, and AI and will be made with Samsung's 14nm process. The South Korean company will also make the chips using its I-CubeTM, or interposed-cube, package solution. I-Cube integrates a System-on-a-Chip (SoC) and a High Bandwidth Memory (HBM) onto a silicon interposer to create a single package to increase electrical transference.

SP Energy Networks is investing in cutting-edge software that applies machine learning algorithms and data science to predict electricity network demand and generation output. The artificial intelligence (AI) forecasting software, which uses historical network data and detailed weather data to make the predictions, will enable the network operator to maximise capacity and reliability across the electricity distribution network. Sia's software will go live in March 2020 and will be used in the real-time management of the network and forward planning when assessing the impact of new connections across the system. The investment comes as Britain's electricity network experiences a rapid transition from fossil fuel generation to renewable energy, low carbon options and energy efficiency programmes. Grant McBeath, Control Room Manager at SP Energy Networks, said: "Demand on the network is forecast to increase considering all future energy scenarios as we transition towards a zero carbon economy. We, therefore, have to change the way we manage the network – transitioning from passive approach to much more active and agile management, which requires a more dynamic approach to ensure capacity is maximised and customers' supplies remain uninterrupted. "Working with Sia on forecasting software will allow us a better understanding of the future flows of energy on the network right down to a half hourly basis.

About the talk In this talk we first consider the situation where one is interested in gaining understanding of general dynamical properties of a chaotically time evolving system solely through access to time series measurements that depend on the evolving state of an, otherwise unknown, system. Using examples, we show that machine learning is an extremely effective tool for accomplishing this task, and we discuss how the ability to do this can be of practical utility. In the second part of the talk, we turn the problem around and utilize chaos theory to explain the dynamical basis for how a machine learning system is able to do accomplish this task [Z. About the speaker Edward Ott received his Ph.D. from The Polytechnic Institute of Brooklyn and was an NSF Postdoctoral Fellow at Cambridge University, following which he became a faculty member of the Department of Electrical Engineering at Cornell University. After 11 years at Cornell, he moved to the University of Maryland where he is currently a Distinguished University Professor in the Department of Physics and the Department of Electrical and Computer Engineering.

One of Amazon's most recent announcements was the release of their new tool called Amazon Rekognition Custom Labels. This advanced tool has the capability to improve machine learning on a whole new scale, allowing for better data analysis and object recognition. Amazon Rekognition will help users train their machine learning models more easily and allow them to understand a set of objects out of limited data. In other words, this capability will make machines more intelligent and capable of recognizing items with far less data sets than ever before. Employees stand near an The Amazon Inc. logo is displayed above the reception counter at the ... [ ] company's campus in Hyderabad, India, on Friday, Sept. 6, 2019.

Over half of NHS Trusts (52%) are already deploying artificial intelligence (AI) technologies, with 20% of them using them for clinical care, and 16% using them for clinical diagnosis, a Freedom of Information request has revealed. The data was obtained by a Freedom of Information request from cloud data services provider NetApp, with 61 Trusts responding, after the UK Government announced its investment in AI in the National Health Service (NHS). The request asked Trusts around their current and future use of AI-related technologies to deliver health services, and how mature their data infrastructures are in delivering successful AI projects. George Kurian, NetApp CEO and president, said: "Artificial intelligence has limitless potential in healthcare services and it's encouraging to see the technology being used in half of NHS Trusts. As healthcare moves towards preventative treatment and personalised medicines, artificial intelligence leaders in the NHS have a complex challenge to break through cultural and organisational barriers when it comes to providing healthcare professionals the access to data they require. "Progress is being made and the further deployment of AI-powered technologies – such as speech recognition and machine learning – will alleviate pressure on staff, accelerate innovation and reduce costs.

The findings show that it is widely recognised that artificial intelligence and the potential it offers are important. The survey also indicates that while a growing interest in artificial intelligence and its applications is evident in public employment services, the use of AI is still in its infancy. Very few EU Member States have a strategic plan for using artificial intelligence in public employment services. Services involving the matching of vacancies with jobseekers and those involving employee profiling are the most advanced. In Belgium, for example, artificial intelligence is used in the detailed profiling of private customers and for preparing employment forecasts.

As the Senior Director of BPO Sales for Europe, you have a proven sales record of successful software sales to the BPO Clients. You are comfortable championing the innovative power of RPA to make organizations more productive and collaborative. With a passion for automation, you will be leading efforts to show how RPA can transform Enterprises and entire industries by automating and integrating complex processes for customers worldwide. At our company each person brings their unique talents to work as a team and make a difference. As the leader in Robotic Process Automation (RPA), we provide a very compelling product where our teams are breaking new ground every day and given an environment to grow their skills and have fun along the way.