Everyone seemingly is complaining about the spread of ransomware, and now somebody is trying to do something about it using machine learning-based behavioral analytics techniques to track suspicious behavior on company networks. As the scale of the ransomware threat grows, including ransom payments by hospitals and universities and growing fears that it will soon spread to other sectors, a Silicon Valley security intelligence firm has rolled out an approach for detecting ransomware via machine learning. Exabeam, a specialist in user and "entity" behavior analytics based in San Mateo, Calif., unveiled its analytics approach to detecting ransomware attacks during a security conference this week. The early warning system is touted as being able to spot ransomware activity on corporate networks without relying on third-party security controls. The platform also can spot suspicious activity within cloud services, servers and, increasingly, personal devices connected to corporate and other enterprise IT infrastructure.

Self-driving cars are anticipated to reduce the frequency of accidents on the roads, including fatal crashes. A study conducted by KPMG and the Center for Automotive Research predicted that test results show that 93-percent of accidents are due to human error. Some argue that a full assessment of accident reduction rates could not be properly attained until hundreds of millions of miles had been driven and analyzed before real results could be given. While predictions do exist, none have proven to be remotely close given that technology can fail at any time.

HYDERABAD: At a time when most of the startups are focusing on solving fairly shallow problems, Avishkar, the start-up accelerator programme of International Institute of Information Technology, Hyderabad (IIIT-H) on Friday took three companies under its wings to encourage entrepreneurs who are into solving deep-tech problems. Screened from about 140 applications across the world, the top three companies are all set to form the first batch of the six-month long programme. The selected startups will now work closely with the Avishkar team and the faculty members of IIIT-H labs and other partners over the next six months to get to a level of investment-readiness that will launch them to the next stage of their journey. "We are a four-month-old company trying to build a virtual personal stylist for women. Through our app, we want to offer all the services that a stylist offers to women. In other words, we want to create artificial intelligence (AI) of a personal stylist. The best part about Avishkar is that unlike many accelerators, the programmes here are personalised for each and every startup and would be helpful for us to grow faster," Komal Prajapati, founder, Fabulyst, said.

Twice a week, we'll be highlighting the latest bot and artificial intelligence news here on the Bot or Not Medium blog. This week, we have bots running countries, companies and social engagements. Will bots eventually rule the world, like in the movies? See below for a summary, and stay tuned for more bots news next week! Real-time bots have grown exponentially smarter in the last decade.

Between recent controversies over Facebook's Trending Topics feature and the U.S. legal system's "risk assessment" scores in dealing with criminal defendants, there's probably never been broader interest in the mysterious algorithms that are making decisions about our lives. That mystery may not last much longer. Researchers from Carnegie Mellon University announced this week that they've developed a method to help uncover the biases that can be encoded in those decision-making tools. Machine-learning algorithms don't just drive the personal recommendations we see on Netflix or Amazon. Increasingly, they play a key role in decisions about credit, healthcare and job opportunities, among other things.

Between recent controversies over Facebook's Trending Topics feature and the U.S. legal system's "risk assessment" scores in dealing with criminal defendants, there's probably never been broader interest in the mysterious algorithms that are making decisions about our lives. That mystery may not last much longer. Researchers from Carnegie Mellon University announced this week that they've developed a method to help uncover the biases that can be encoded in those decision-making tools. Machine learning algorithms don't just drive the personal recommendations we see on Netflix or Amazon. Increasingly, they play a key role in decisions about credit, healthcare, and job opportunities, among other things.

The world of artificial intelligence (AI) is making rapid strides in technological development, from Google's AI program defeating a human in the game of Go, Russian scientists building the'Terminator' and another project from Google's Brain Team, where the AI program attempts to write post-modern poetry. The AI market is projected to expand to USD 5.05 billion by 2020 (from USD 419.7 million in 2014), at a CAGR of 53.65% from 2015 to 2020, largely due to greater applications in diversified fields, enhanced productivity and increasing consumer satisfaction. Machine learning technology, a key component of the overall AI market, is estimated to gain traction over the next five years, on account of higher anticipated demand in media & advertising and finance sectors, as well as retail, healthcare, law, and oil & gas. Multinational technology giants such as Google, IBM, Microsoft, and governments of different countries across the globe are looking to boost their investment in AI. According to reports, Google has announced a new research project dubbed'Magenta' that is aimed at exploring the use of AI to produce art. The research team will initially study what kind of algorithms are used to generate music and then subsequently move to video and other visual arts.

The Afghan government is looking warily at the conservative religious scholar who has assumed leadership of the Taliban, seeing in him a rigid proponent of hardline orthodoxy who is unlikely to favor peace talks, officials said. A day after the Afghan Taliban announced that Haibadullah Akhundzada would take over after Mullah Akhtar Mansour was killed in a U.S. drone strike in Pakistan, officials on Thursday were trying to form a picture of a leader best known for relentlessly applying strict sharia, or Islamic law. In his former role as one of the Taliban insurgency's senior judges, he was responsible for issuing a series of death sentences against opponents of Mansour, according to General Abdul Razeq, police chief of Akhundzada's home city of Kandahar. Officials said he appeared to favor a return to the austere and often harsh Islamic rule in Afghanistan before the Taliban were ousted by U.S.-led forces in 2001, something that would be unacceptable to the Afghan government and its Western backers. "He is a simple religious cleric," said Haji Agha Lalai, an adviser to President Ashraf Ghani, who added that Akhundzada would rely heavily on his deputy Sirajuddin Haqqani, leader of the feared Haqqani network, for battlefield decisions.

McRobots are not coming to a McDonald's near you just yet, according to Steve Easterbrook, the company's chief executive officer. His comments came two days after one of the fast-food giant's former US chief executives suggested that a minimum wage of 15 an hour could lead to McDonald's replacing its workers with robots. Easterbrook was speaking at the company's annual shareholders' meeting when he said that technology is not likely to lead to "job elimination" at McDonald's. Related: Ex-McDonald's CEO suggests replacing employees with robots amid protests "It's a topic of discussion right now," he said, when asked by one of the shareholders if the higher minimum wage would lead to shift to more automated services. McDonald's is in a service business and "will always have an important human element", Easterbrook said.

The foreign affairs adviser to Pakistan's prime minister says "all indicators" confirm that Taliban chief Mullah Akhtar Mansour was killed in a U.S. drone strike in the country's southwest while travelling under a false name with a fake Pakistani identity document.