An algorithm to predict which people may experience a mental health crisis has been trialled in the UK and found effective enough for routine use. A version that would track people's mobile phone calls, messages and location in a bid to improve accuracy is now being considered. Birmingham and Solihull Mental Health NHS Foundation Trust worked with Alpha, a division of Spanish telecomms firm Telefonica, which owns O2, to see if there was any benefit in automatically flagging the people thought most at risk of experiencing a mental health crisis to NHS staff. The results of the Predictive Analytics project, released under freedom of information rules, suggest there is. The project ran between November 2018 and May 2019. Alpha developed a machine-learning algorithm fed with historical patient data to predict who could face an imminent crisis.

Artificial Intelligence is already impacting Manufacturing, Retail, Marketing, Healthcare, Food industries and more. Today we will take an in-depth look at another industry, that with proper AI expertise from development companies could be disrupted. Transportation is an industry that helps humanity with moving people their belongings from one location to the other. While doing that, this industry had experienced countless twists, turns, breakthroughs, and setbacks to get to the place where it is now. The year 1787 was the defining one for this industry because steamboat was introduced and changed everything.

Truly "autonomous" systems are starting to replace or augment many of the routine tasks and processes people perform every day, improving efficiency while freeing individuals for higher-level pursuits. But what's often overlooked is how much progress is happening in other areas and industries: healthcare, air travel, energy provision, retail, logistics, agriculture, and construction. Autonomous systems are even helping governments match refugees with the most suitable communities to live, as detailed in one of the four real-world vignettes we present below. Such optimism makes sense, given advances such as self-managing and self-patching databases in IT. But our survey's other findings might underestimate the pace of change: Just 24% say they expect to see significant use of autonomous tech in construction, for example, even though self-driving bulldozers already are in use on select projects.

He praised the efforts of the academic and administrative staff, whose efforts were instrumental to the growth and development of the university; which is not only a testament to French-Emirati relations, but is also responsible for more than 2000 graduates who have entered the local workforce. He concluded, "We have collectively taken a giant leap in the direction of progress and development and hope to march on with the design of new programs and initiatives that are fully in line with the national strategy of the UAE." Professor Chambaz commented,"This agreement is the first of many educational and research programmes at Sorbonne Center for Artificial Intelligence and we welcome Total and Thales Group as the key stakeholders in this innovative venture. The aim of cooperating with partners from the UAE and France is to support research in the field, create knowledge, and to integrate artificial intelligence into the sustainable development initiatives of the UAE." Mr. Christophe Sassolas, President Total E&P UAE and Total Country Chair in the UAE added "By bringing the Sorbonne's best researchers and Total use cases in close vicinity with Abu Dhabi ecosystem of research institutions and industry, we are contributing to define the future of Artificial Intelligence in the energy sector. We are proud to bring this opportunity for the next generation of UAE talents!"

The German government is facing a bill of around $887,000 (800,000 euros) for failing to upgrade to Windows 10 ahead of the Windows 7 end of support date last week. German newspaper Handelsblatt reports that the German Federal Ministry is looking to secure at least 33,000 machines still running Windows 7, which involves paying Microsoft a fee per device for a year of extended security protection. Lego is releasing an official International Space Station kit, which includes a scale model of the orbital platform, along with a miniature dockable Space Shuttle, a deployable satellite and two astronaut mini figurines. The kit is made up of 864 pieces, and celebrates the science station's more than 20 years in operation. It was originally suggested through Lego's Ideas platform, which crowdsources ideas from the Lego fan community.

During the kind of virus outbreak that China and other nations are now contending with, time is of the essence. The earlier the warning, the better the chance to contain the contagion. One problem, though, is that governments are sometimes reticent to share information. Such was the case in 2002 and 2003, when Chinese authorities were accused of covering up the SARS epidemic that eventually claimed over 740 lives around the world. With the current outbreak, involving a coronavirus that originated in Wuhan and has so far taken over 40 lives, the Chinese government is being more transparent, as Germany's health minister noted to Bloomberg yesterday on the sidelines of the World Economic Forum in Davos.

World AI Show - Kuala Lumpur will be Malaysia's biggest confluence of Tech, Partnerships and go-to-market strategies. The potential of Artificial Intelligence is far from being fully exploited thus making now the best time for Malaysia to sprint to the front of the race. WAIS is an unprecedented opportunity that pushes an agenda of #AIForAll Malaysians as we bring AI which is affordable for businesses across. This event is Co-Located with the World Blockchain Summit (23-24 March 2020). World AI Show is a thought-leadership-driven, business-focused, global series of events taking place in strategic locations across the world.

Clearview AI, an artificial intelligence firm providing facial recognition technology to US law enforcement, may be overstating how effective its services are in catching terrorist suspects and preventing attacks, according to a report from BuzzFeed News. The company, which gained widespread recognition from a New York Times story published earlier this month, claims it was instrumental in identifying a New York suspect from video footage who had placed three rice cookers disguised as explosive devices around New York City last August, creating panic and setting off a citywide manhunt. BuzzFeed News found via a public records request that Clearview AI has been claiming in promotional material that law enforcement linked the suspect to an online profile in only five seconds using its database. But city police now say this is simply false. "The NYPD did not use Clearview technology to identify the suspect in the August 16th rice cooker incident," an NYPD spokesperson told BuzzFeed News.

A regulatory market approach would enable the dynamism needed for AI to flourish in a way consistent with safety and public trust. It seems the White House wants to ramp up America's artificial intelligence (AI) dominance. Earlier this month, the U.S. Office of Management and Budget released its "Guidance for Regulation of Artificial Intelligence Applications," for federal agencies to oversee AI's development in a way that protects innovation without making the public wary. The noble aims of these principles respond to the need for a coherent American vision for AI development--complete with transparency, public participation and interagency coordination. But the government is missing something key.

The identification of cyberattacks which target information and communication systems has been a focus of the research community for years. Network intrusion detection is a complex problem which presents a diverse number of challenges. Many attacks currently remain undetected, while newer ones emerge due to the proliferation of connected devices and the evolution of communication technology. In this survey, we review the methods that have been applied to network data with the purpose of developing an intrusion detector, but contrary to previous reviews in the area, we analyze them from the perspective of the Knowledge Discovery in Databases (KDD) process. As such, we discuss the techniques used for the capture, preparation and transformation of the data, as well as, the data mining and evaluation methods. In addition, we also present the characteristics and motivations behind the use of each of these techniques and propose more adequate and up-to-date taxonomies and definitions for intrusion detectors based on the terminology used in the area of data mining and KDD. Special importance is given to the evaluation procedures followed to assess the different detectors, discussing their applicability in current real networks. Finally, as a result of this literature review, we investigate some open issues which will need to be considered for further research in the area of network security.