Darktrace differentiates itself in using advanced machine learning and mathematics developed at the University of Cambridge to identify abnormalities in a company's IT network that might be an attack. The company also aims to tackle the latest phenomenon of artificial intelligence-based cyber attacks with its own AI-based software. "We are starting to see early signs of very rudimentary machine learning being used in these (cyber) attacks ... we do estimate that in the next 18 months we will start seeing much sophisticated AI based attacks," Eagan said. Darktrace, co-headquartered in Britain's Cambridge and San Francisco, has customers including chipmaker Micron Technology Inc, international airports like London Gatwick Airport, and financial institutions such as AIG Inc.

There was the Cognitive Revolution. Humans evolved, developed the ability to imagine, and ascended atop the animal kingdom. Since then, imagination and the ability to foresee has only grown, manifesting itself in the form of world-altering inventions. Artificial Intelligence (AI) is the latest brain child of such progressive cognition. IoT and blockchain technology have invaded all forms of business.

Japan's police and military are to separately begin tests of artificial intelligence systems to predict crimes and the activities of suspicious vessels at sea, including the potential threats foreign ships may pose to Japanese territory. The National Police Agency is to request Y144 million (US$1.29 million) in its budget for 2019 to test the ability of artificial intelligence to forecast crimes like money laundering, terrorist attacks at major public events and incidents involving vehicles. The Mainichi newspaper said a system capable of predicting the likelihood and possible location of crimes would eventually be rolled out to police forces across the country "as soon as possible" to make efforts to avert criminal activity more effective. "From a security point of view, Japan is perhaps one of the least advanced nations in the world simply because we have a relatively low level of crime," said Morinosuke Kawaguchi, an innovation and technology consultant. "The US and the UK are ...

The U.S. could face heightened national security threats and lose its economic edge if the government doesn't step up its game when it comes to artificial intelligence, according to a pair of oversight lawmakers. Will Hurd, R-Texas, and Robin Kelly, D-Ill., on Tuesday published a report detailing the current state of the country's artificial intelligence ecosystem and offering recommendations for how government could steer and accomodate the technology's development in the years ahead. The report is based on a series of hearings examining the government's role in advancing AI hosted earlier this year by the House Oversight Subcommittee on Information Technology, on which Hurd chairs and Kelly serves as ranking member. "[Artificial intelligence] is a topic that's going to transcend and be important beyond this Congress," Hurd said Tuesday during a call with reporters. "I think this report [will] lay a foundation for future focus by Congress and other parts of the government."

Security professionals believe AI and machine learning are the answers to many of the issues they face. The Ponemon Institute, on behalf of Hewlett Packard Enterprise subsidiary Aruba, conducted a survey of security professionals. It found the majority of respondents agreed security products with AI features will help reduce false alerts, increase team effectiveness, make investigations more efficient, and will speed up the discovery of and response to stealthy cyberattacks. According to more than half of the survey respondents, "AI technologies such as [machine learning] and behavioral analytics are essential for detecting attacks on the inside before they can do damage." For the report, "Closing the IT Security Gap with Automation & AI in the Era of IoT," Ponemon surveyed 3,866 IT and security professionals in Asia, EMEA, North America, Australia, Brazil, Germany, India, Japan, Mexico, Singapore and the United Kingdom.

According to the "Artificial Intelligence in Marketing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, NLP, Computer Vision), Deployment Type, Application, End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to be valued at USD 6.46 Billion in 2018 and is likely to reach USD 40.09 Growth in the adoption of customer-centric marketing strategies, increase in demand for virtual assistants, and increased use of social media for advertising are the major factors driving the demand for AI-based marketing and sales solutions. Browse 67 tables and 59 figures spread through 200 pages and in-depth TOC on "Artificial Intelligence in Marketing Market - Global Forecast to 2025" Software holds a major share of the overall AI in marketing market owing to the developments in AI software and related software development kits. AI systems require different types of software, including application program interfaces, such as language, speech, vision, and sensor data, along with machine learning algorithms, to realize various applications for sales and marketing. Software platforms and solutions are available at high costs as there are limited number of experts that develop machine learning algorithms.

WARNING: You may find some images in his report disturbing. The UN is warning that millions of Yemenis are at risk of famine. The UAE has promised to help create a humanitarian corridor between Saana and Hodeidah. But aid is arriving too late for many of Yemen's most vulnerable as malnutrition and disease continue to claim lives in the war-torn nation and among its refugees. Al Jazeera's Andrew Simmons reports from neighbouring Djibouti, where starving families are struggling to get to the few clinics available.

An Icelandic startup called Aha is using a Chinese-made drone and an Israeli logistics system to deliver hot food, groceries, and electronics to households in Iceland's capital city of Reykjavik. These drones don't sense and avoid obstacles--in fact, they don't even have cameras, radar, or any other imaging systems. They fly according to GPS coordinates, along routes certified free of trees, buildings, and other impediments. And with some 500 deliveries completed in the past five months, no injuries have been reported. It works like this: You punch your order into an app on your smartphone ("Two hamburgers, hold the onions") and Aha's cook loads the food onto the drone. Then you track the delivery, go outside to welcome it, and if all's well at the drop-off point, you agree to accept it.

The fourth industrial revolution is firmly upon us and it is one that will provide customers with a greater range of customized products and a better service experience, while allowing manufacturers to transition towards predictive and adaptive processes and machinery. Artificial intelligence (AI) is not a peripheral component of this industry change; it is at the heart of the fourth industrial revolution, a key enabler to take the step from automation to autonomy, creating growth and competitive advantage. Together with Industry of Things World, Europe's leading Industrial IoT conference, HPE surveyed 858 predominantly European professionals and executives from various industrial verticals to find out what effect AI has in the industrial sector today and is expected to have by 2030.[1] Their responses show that the European industrial sector has clearly understood and embraced the strategic power of AI--but it also reveals that there are some key challenges that have to be overcome to fully unleash its potential. Let's start with the really good news.

Last week, I attended the Alibaba Cloud Computing Conference, an annual showcase of its latest tech and innovations. The theme was'Empower Digital China' but also served as a reminder of how powerful Alibaba is. Its roots may lie in e-commerce, but through its machine learning systems and its cloud computing services, it has extended into almost every facet of Chinese life. AliPay, Tmall Genie and Taobao are just three of the brands which are part of the day-to-day life of millions of Chinese consumers. But perhaps the most interesting part of the business is its machine learning systems that are now gearing to compete with its Western counterparts.