BRUSSELS – EU countries could ban telecom operators deemed a security risk from critical parts of 5G infrastructure under guidelines issued Wednesday, amid U.S. pressure to shut out Chinese giant Huawei. The EU plan, which closely mirrors rules set out Tuesday by Britain allowing a limited role for Huawei, stops short of barring the company from the next-generation communications network designed for near-instantaneous data transfers. It leaves member states with the responsibility to ensure the safe rollout of 5G and warns them to screen operators carefully, saying security of the network will be critically important for the entire EU. The "toolbox" outlined by the European Commission avoids naming Huawei and does not call for an outright ban on any supplier. But it urges countries to "assess the risk profile of suppliers (and) … apply relevant restrictions for suppliers considered to be high risk" accordingly, including shutting them out of "key assets defined as critical and sensitive. It also recommends EU states avoid "major dependency on a single supplier" and "dependency on suppliers considered to be high risk.

Each semester, Associate Professor Virginia Vassilevska Williams tries to impart one fundamental lesson to her computer-science undergraduates: Math is the foundation of everything. Often, students come into Williams' class, 6.006 (Introduction to Algorithms), wanting to dive into advanced programming that power the latest, greatest computing techniques. Her lessons instead focus on how algorithms are designed around core mathematical models and concepts. "When taking an algorithms class, many students expect to program a lot and perhaps use deep learning, but it's very mathematical and has very little programming," says Williams, the Steven G. (1968) and Renee Finn Career Development Professor who recently earned tenure in the Department of Electrical Engineering and Computer Science. "We don't have much time together in class (only two hours a week), but I hope in that time they get to see a little of the beauty of math -- because math allows you to see how and why everything works together. It really is a beautiful thing."

If popular media is to be believed, Artificial Intelligence (AI) is everywhere and it's either going to solve all our problems or robots are going to take over the world and we're going to lose our jobs. AI is the new oil, or the new electricity. In the enterprise market, I'd like to think we are slightly more used to navigating the sweeping predictions and assumptions that come with emerging technology hype. At the beginning of 2019, there was a lot of chatter about enterprises finally being ready to make the move to deliver on the promise of machine learning (ML). However, what we actually saw, again, was enterprises struggling to get into production with ML and other types of AI.

Bindu Reddy, co-founder and chief executive of startup Reality Engines, unveiled a slew of enterprise apps based on cutting-edge deep learning techniques. "Our moat comes both from constantly innovating and in getting more and more practice on key enterprise use-cases," said Reddy, who was formerly head of "AI verticals" at Amazon's AWS cloud service. Barely a year old, Reality Engines of San Francisco emerged from stealth mode on Tuesday, announcing a slew of artificial intelligence offerings to perform corporate tasks such as budgeting for cloud services or monitoring corporate networks for break-ins. Most exciting of all is that the tiny 18-person team has some very novel takes on deep learning forms of AI, the product of seasoned vets in machine learning technology and products. This is no me-too chatbot service, it would appear.

This event is running from 27 September 2018 until 30 January 2020. Records365 is a records management SaaS for organizations that need to meet industry or governmental regulations in one or more content sources such as Office 365, SharePoint, box, exchange online, physical records, file shares and more. Attend this webinar, hosted by Paul Kelly, RecordPoint's Technical Sales & Delivery Manager, for a quick and interactive overview of how Record365 delivers easy, modern, and trusted records management and compliance, including: – Platform agnostic records management compliant with local and global standards – In-place records management across a range of electronic and physical content sources – Rules-based classification to automate your records life-cycle – Leveraging the power of Artificial Intelligence to maximize your total compliance efforts – Simple event-based retention – Zero impact to end users

Bindu Reddy, co-founder and chief executive of startup Reality Engines, unveiled a slew of enterprise apps based on cutting-edge deep learning techniques. "Our moat comes both from constantly innovating and in getting more and more practice on key enterprise use-cases," said Reddy, who was formerly head of "AI verticals" at Amazon's AWS cloud service. Barely a year old, Reality Engines of San Francisco emerged from stealth mode on Tuesday, announcing a slew of artificial intelligence offerings to perform corporate tasks such as budgeting for cloud services or monitoring corporate networks for break-ins. Most exciting of all is that the tiny 18-person team has some very novel takes on deep learning forms of AI, the product of seasoned vets in machine learning technology and products. This is no me-too chatbot service, it would appear.

UPS is bringing dynamic routing to its on-road integrated optimization and navigation (ORION) platform, as the package delivery and logistics giant looks to reduce the number of miles traveled, fuel consumed, and CO2 emitted. For context, UPS delivers some 21 million packages globally each day, with many UPS drivers making well over 100 stops per shift. Figuring out the optimum route that each driver should travel to expedite deliveries (and reduce costs) is a challenge given the sheer number of combinations available. It's generally accepted that avoiding left-turns is a good thing due to the idling involved, which means that maximizing the number of right turns is desirable -- but computing all the possible permutations for this across 100 delivery destinations is a task of herculean proportions. And that is what ORION is essentially about.

The U.S. economy continues to expand, with reports from the Bureau of Labor Statistics indicating there are more job openings in the U.S. than people to fill them. Despite this data, working Americans are very concerned about job loss due to AI and automation, especially as politicians fan the flames of fear to gain advantage as the election race heats up. Democratic primary candidate and tech entrepreneur Andrew Yang has proposed the Freedom Dividend, a form of universal basic income (UBI) to supplement income lost by automation. Senator Elizabeth Warren is instead focusing on policy reform, training her sights on the multinational corporations moving their factories overseas. Former Vice President Joe Biden has proposed 14 years of public education in an effort to prepare workers for a future where technology reigns.

The artificial intelligence platforms market size is poised to grow by USD 6.95 billion during the period 2019-2023, according to the latest market research report by Technavio. This press release features multimedia. Technavio has announced its latest market research report titled global artificial intelligence platforms market 2019-2023. Governments across the world are increasingly promoting AI technology through investments in R&D and by developing education programs to train the workforce with AI skills, which can support businesses across industries. Retail, BFSI, and manufacturing are a few of the major industries that are increasing their investments in AI to automate business functions.

The health of people and communities around the world has been improving over time. For example, the steep decline in child and maternal mortality is a key indicator of positive momentum. However, progress has not been equal across the globe, and there is a great need to focus on societal issues such as reducing health inequity and improving access to care for underserved populations. While researchers work to unlock life-saving discoveries and develop new approaches to pressing health issues, advancements in technology can help accelerate and scale new solutions. That is why we are launching AI for Health, a new $40 million, five-year program to empower researchers and organizations with AI to improve the health of people and communities around the world.