Al-Qaida and the extremist Islamic State group have taken advantage of the chaos and lawlessness brought about by Yemen's ongoing civil war to expand their reach in the impoverished Arabian Peninsula nation.

Nairobi, Dec 19 (PTI) The WTO talks entered the fifth day today as a deadlock continued over reducing farm subsidies and on providing protection to poor farmers of developing nations, such as India, in case of import surge. The 10th WTO Ministerial was originally scheduled to end last night but developed and developing countries failed to iron out differences on these issues. "The meeting is still on since last night," sources said, adding that a small group of countries -- India, the US, EU, China and Brazil - are discussing the issues. India has made it clear that it would not compromise the interests of farmers and agri-related sectors. It has also asserted to include the public stockholding issue for food security purposes in the preamble of the Nairobi declaration. It also wants that special safeguard mechanism (SSM) should be delinked from market access.

Mark Palmer is senior vice president and general manager of engineering at TIBCO. Much has been made about the business implications of recent, rapid advancements in cognitive computing -- that is, the possibility of advanced analytics tools to help human knowledge workers glean actionable insight from vast and deep lakes of historical, transactional and machine-generated information. When utilized well, cognitive tools help humans identify patterns and surface previously undetected cyberattack patterns on your company, customer buying behavior or predictive signals of catastrophic equipment failure based on readings from sensor-enabled devices. But as your business inevitably becomes more algorithmic, you're faced with the next problem: Many algorithms, once discovered, have a remarkably short shelf-life. Algorithmic excellence in analytics requires more than just great math; you must also become as agile at killing off weak or vanquished algorithms as a NASCAR pit crew changing worn tires -- you need to be replacing them with promising new ones.

Auto accidents kill more than 33,000 Americans each year, more than homicide or prescription drug overdoses. Companies working on self-driving cars, such as Alphabet and Ford, say their technology can slash that number by removing human liabilities such as texting, drunkenness, and fatigue. But Christopher Hart, chairman of the National Transportation Safety Board, says his agency's experience investigating accidents involving autopilot systems used in trains and planes suggests that humans can't be fully removed from control. He told MIT Technology Review that future autos will be much safer, but that they will still need humans as copilots. What follows is a condensed transcript.

Protests in the ethnic Russian enclave in Riga, Latvia have NATO on edge. Russian units in the Western Military District are on alert conducting snap exercises involving autonomous ground and air attack systems. The Russian president makes a speech promising to protect ethnic Russians wherever they are with military forces if necessary. In response, a U.S. Army brigade combat team bolstered by intelligence, air defense, and aviation support elements from U.S. Army Europe deploys. Their mission is to reassure Latvian forces, deter Russian aggression, and if necessary conduct a mobile defense.

August saw the Defense Advanced Research Projects Agency (DARPA) host its first Cyber Grand Challenge – the first hacking competition not involving people. During this event, teams left their systems alone to single-handedly find, diagnose and fix software flaws in real time. Elsewhere, researchers at MIT are not only developing machine learning systems that automatically mine dark web marketplaces for vulnerabilities and zero-day attacks and reports them back as well as software that automatically fixes buggy code, but also a platform that can predict 85% of cyber-attacks. Machine learning, deep learning, and Artificial Intelligence (AI) are hot topics at the moment, and while there's plenty of research going on, there's also some practical applications that can be deployed right now to make life easier for cybersecurity professionals. A glut of new start-ups, from the likes of Darktrace, Cylance, Deep Instinct, and HackerONE, plus established player such as FireEye, IBM, and Forcepoint, are all working on bringing self-learning systems into the world of security.

The trader was in deep trouble. A millennial who had only recently been allowed to set foot on a Wall Street floor, he made bad bets, and in a panic to recoup his losses, he'd blown through risk limits, losing 4.9 million in a single afternoon. The trader was taking part in a simulation run by Andrew Lo, an MIT finance professor. The goal: find out if top performers can be identified based on how they respond to market volatility. Lo had been invited into the New York-based global investment bank--he wouldn't say which one--after giving a talk to its executives.

US Transportation Secretary Anthony Foxx delivers an announcement in Washington, DC, in 2014. Automakers and ride-hail companies are racing to put self-driving cars on the road. In a few weeks, Uber passengers in Pittsburgh will be able to hail self-driving Volvos. Last month, Tesla announced its hopes to build an autonomous ride-hailing fleet. And this month, Ford said it plans to mass-produce autonomous vehicles by 2021.

Firefighters have a truly noble job as their responsibilities often require putting one's own life on the line. A NASA researcher is using the Assistant for Understanding Data through Reasoning, Extraction, and sYnthesis (AUDREY), an artificial intelligence tool, to make a day's work a bit easier and safer for these heroes. The IoT-powered system will work with wearables that will track a firefighter's location via GPS and record heat and air quality in the specific points as they go around the site of the emergency. All this data is then tied-up with satellite imagery of the scene to build a game plan. AUDREY can lead a team of firefighters: artificial intelligence will determine which areas would likely collapse in an emergency and help any number of firefighters work together as efficiently as possible.

The big news on March 12 of this year was of the Go-playing AI-system AlphaGo securing victory against 18-time world champion Lee Se-dol by winning the third straight game of a five-game match in Seoul, Korea. After Deep Blue's victory against chess world champion Gary Kasparov in 1997, the game of Go was the next grand challenge for game-playing artificial intelligence. Go has defied the brute-force methods in game-tree search that worked so successfully in chess. In 2012, Communications published a Research Highlight article by Sylvain Gelly et al. on computer Go, which reported that "Programs based on Monte-Carlo tree search now play at human-master levels and are beginning to challenge top professional players." AlphaGo combines tree-search techniques with search-space reduction techniques that use deep learning. Its victory is a stunning achievement and another milestone in the inexorable march of AI research.