Hyundai is solving and robots are evolving, but first: a cartoon about parental phone tracking. Here's the news you need to know, in two minutes or less. Want to receive this two-minute roundup as an email every weekday? You've probably seen the videos of Boston Dynamics' incredible (and creepy) robot dog Spot opening doors, trotting in parking lots, and fending off stick-wielding humans. But a few months ago, 75 of them got out of the house and found jobs working in places like construction companies and mining outfits.

In a usual management setting, after a person has had a heart attack or stroke, algorithmic risk models are used to calculate the risk of death for the patient. These algorithms or models utilize various factors such as age of the patient, gender, previous history, family history, ethnicity etc. Treatment of the patient is often guided by these models. A new study has shown that in many cases these models fail to predict the risks accurately. This may lead to treatment choices that are unnecessary or ineffective and even risky for the patients. The new study was published in the Digital Medicine.

The European Union's leading tech regulator has thrown her weight behind the British government's plans to press ahead with a digital tax despite threats from Donald Trump. Margrethe Vestager, the EU competition commissioner recently promoted to take charge of Europe's digital policy as well, said she was a "strong supporter" of national digital taxes in order to advance the chances of an international agreement. She said the EU would revive plans for a digital tax within a year if international efforts to find a solution failed. "I think it is very important that we keep up the momentum. Because of this very fundamental injustice that most people and businesses pay their taxes and they are competing with businesses who create value but do not pay taxes," she said in an interview with the Guardian and other European newspapers.

Tinder is to'swipe left' on catfishing as the popular dating app starts using artificial intelligence to check that profile photos uploaded by users are genuine. The photo verification feature will allow members to get their images authenticated by posing for a series of real-time selfies. Human-assisted artificial intelligence technology will then compare these submission to existing profile photos to confirm that they do match up. Once a person's photos have been verified, their profile will be granted a blue checkmark icon so that other users can trust their appearance is genuine. The verification feature is one of a number of dating safety features being added to Tinder, which will also gain a dedicated in-app safety centre and panic button.

We are entering a new decade that is defined by data. Organizations will either succeed or fail because of the way they collect, use, and democratize data analytics across their organization. At this crucial turning point in business transformation, companies must embrace change and invest in it. In the recently released 10 Enterprise Analytics Trends for 2020, MicroStrategy consulted leading industry experts to identify the key trends that will impact the analysis of corporate data for 2020 and beyond. Three key themes were identified: the crucial role of artificial intelligence (AI), the focus on digital skills and the growth of data. AI is real and it's done.

In this talk, we will take an in-depth look at various mechanisms of attack detection, from signatures and regular expressions to machine learning. Attack detection is critical for most security solutions, whether we are talking about a load balancer-based (NIDS, WAF), host-based or in-application solutions (HIDS, RASP). Interestingly, regardless of the differences in architecture and data flow, most solutions use similar detection principles and techniques. We will explore how the detection architecture evolved over time and how the new generation of detection logic, such as the architecture implemented by some of the advanced application security tools, are principally different from that of the legacy solutions.

Cohort of 14 U.S. and international startups to relocate to Bentonville for 12 weeks PRESS RELEASE – The first-ever Arkansas-based artificial intelligence and machine learning accelerator will launch later this month, with the goal of helping a cohort of startups within these fields connect to regional enterprise partners. The Fuel Accelerator, in its second iteration, will provide regular, hands-on education and workshops to a cohort of 14 companies from across the United States, Europe and Asia. These 14 companies will make their way to Northwest Arkansas, at the foot of the Ozark Mountains, for a 12-week, enterprise-ready accelerator that will provide them with access to other startup founders, industry experts, institutions of higher education, and public policy officials. Fuel launched in late 2018 with eight startups participating in a supply chain-focused, 16-week program. The program helped its first cohort nurture relationships with key Fortune 500 companies through feedback sessions, training, pilots and demos.

A group of high school students was one of the top teams to emerge from the recent AI Tech Sprint by the Department of Veterans Affairs, delivering a web application that could help match cancer patients to clinical trials. The three students from Northern Virginia entered their work in a competition that included software companies like Oracle Healthcare and MyCancerDB. Digital consulting company Composite App took the $20,000 first place prize for its solution -- a tool for helping patients stay on track with their care plan -- but the clinical trials team got an honorable mention. The tech sprint was organized by the VA's new AI institute, and it focused on partnering with outside organizations and companies interested in applying artificial intelligence tools and techniques to VA data. The high school team's members -- Shreeja Kikkisetti, Ethan Ocasio and Neeyanth Kopparapu -- met as part of the Northern Virginia-based nonprofit Girls Computing League. They were unique in a competition otherwise dominated by adult professionals from software and health care companies.

No longer relegated to the ranks of science fiction, AI is rapidly becoming ubiquitous as one the most dynamic new fields in technology. But just as it cannot be consigned to fiction, AI cannot be reducible to any particular tech category, as it demonstrates applicability in an increasing array of different industries. Its core technologies - such as machine learning, deep learning, natural language processing (NLP) and computer vision - have enabled AI to penetrate and become indispensable in everything from autonomous vehicles, virtual assistants, energy, voice and text translation, retail, healthcare and more. And this is all happening fast. A report from Grand View Research, for instance, projects a compound annual growth rate (CAGR) for the global AI market of 46.2 percent from 2019 to 2025.

"We are already at the point where you can't tell the difference between deepfakes and the real thing," Professor Hao Li of the University of Southern California tells the BBC. We are at the computer scientist's deepfake installation at the World Economic Forum in Davos which gives a hint of what he means. Like other deepfake tools, his software creates computer-manipulated videos of people - often politicians or celebrities - that are designed to look real. Most often this involves "face swapping", whereby the face of a celebrity is overlaid onto the likeness of someone else. As I sit, a camera films my face and projects it onto a screen in front of me; my features are then digitally mapped.