The universal scope of Internet advertising makes it an ideal way to attract customers and lure young participants into human trafficking activities including sex and prostitution. But behind those ads are layers of online data that can help investigators track down the criminals who organize and profit from such exploitation. A fledgling Pittsburgh startup, Marinus Analytics, has a software product, Traffic Jam, that mines the so-called "deep Web" for information and clues about trafficking operations. It is being used by law enforcement officials, including the FBI, to identify offenders and rescue victims. Emily Kennedy, the founder of Marinus founder and its chief executive, began developing the product while she was a student at Carnegie Mellon University.

DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Artificial Intelligence (Ai) Market By Technology (Machine Learning, Natural Language Processing (Nlp), Image Processing, And Speech Recognition), Application & Geography - Global Forecast To 2020" report to their offering. The author forecasts the artificial intelligence market to grow from USD 419.7 Million in 2014 to USD 5.05 Billion by 2020, at a CAGR of 53.65% from 2015 to 2020. The major factors driving the growth of this market include diversified application areas of AI, improved productivity, and increased level of customer satisfaction. In addition, the rising demand for intelligent systems is expected to propel the growth of the market in the next five years. The scope of this report covers the artificial intelligence market by technology, application, and region.

Australia has warned the world that artificially intelligent killer robots "may be closer than many of us had imagined" and nations need to work harder to tackle the future threat they may pose. Is the Australian Defence Force the next big customer for unmanned aerial vehicles? At a United Nations meeting on "lethal autonomous weapons systems" in Geneva, Switzerland, the Australian delegation on Monday night called on the world to come up with agreed rules about how to handle the rapid pace in technology in military artificial intelligence. "The development of fully autonomous systems able to conduct military targeting operations which kill and injure combatants or civilians may be closer than many of us had imagined," the delegation's statement said. "It is an appropriate time to consider the risks of such weapons systems and to make sure we understand fully what might constitute misuse as well as legitimate use of emerging technologies."

Missing teen's remains found in Lerderderg State Park Is the Australian Defence Force the next big customer for unmanned aerial vehicles? Australia has warned the world that artificially intelligent killer robots "may be closer than many of us had imagined" and nations need to work harder to tackle the future threat they may pose. At a United Nations meeting on "lethal autonomous weapons systems" in Geneva, Switzerland, the Australian delegation on Monday night called on the world to come up with agreed rules about how to handle the rapid pace in technology in military artificial intelligence. The Terminator movies imagined a future where killer robots posed a threat to humanity: some warn that the threat is real. "The development of fully autonomous systems able to conduct military targeting operations which kill and injure combatants or civilians may be closer than many of us had imagined," the delegation's statement said.

Some of the world's most prominent scientists and technology entrepreneurs including physicist Stephen Hawking, Tesla CEO Elon Musk and Apple co-founder Steve Wozniak signed a letter warning about the dangers of autonomous weapons, which they said would be technologically feasible "within years, not decades". Australia has warned the world that artificially intelligent killer robots "may be closer than many of us had imagined" and nations need to work harder to tackle the future threat they may pose. At a United Nations meeting on "lethal autonomous weapons systems" in Geneva, Switzerland, the Australian delegation on Monday night called on the world to come up with agreed rules about how to handle the rapid pace in technology in military artificial intelligence. "The development of fully autonomous systems able to conduct military targeting operations which kill and injure combatants or civilians may be closer than many of us had imagined," the delegation's statement said. "It is an appropriate time to consider the risks of such weapons systems and to make sure we understand fully what might constitute misuse as well as legitimate use of emerging technologies."

With oil and gas prices hovering at decade lows, companies are turning to artificial intelligence to cut costs and boost productivity. The technology, which gives companies the ability to predict future problems, is estimated to save the industry trillions of dollars and lead to a new wave of highly sophisticated jobs. GE Oil and Gas is at the forefront of the shift, using artificial intelligence software to help producers become more efficient. The company's regional director, Mary Hackett, said the recent downturn in prices was driving interest in the technology. "We now need to rather than add to production, we need to make production more efficient and it's that that will change this industry," she said.

Facepunch is aware that some players don't enjoy the idea of playing Rust as a woman, creator Garry Newman says. He shared one recent player complaint on Twitter that reads, in part, "I got a dirty woman ... and everytime [sic] I see her I wanna threw [sic] up." "We understand this causes you distress and makes you not want to play the game anymore," Newman says. "Technically nothing has changed, since half the population was already living with those feelings. The only difference is that whether you feel like this is now decided by your SteamID instead of your real life gender." Facepunch is continually updating Rust and this isn't the end of the character model changes.

NATO-led mission in Afghanistan has confirmed that the US military will investigate into the US drone strikes in southeastern Afghanistan that killed 17 people last week. Brigadier General Charles Cleveland, spokesman for the US-led coalition, told Al Jazeera on Monday, that they will conduct an investigation into the air strikes carried out in the Paktika province. "Currently there is no evidence of civilian casualties, however, we are conducting a thorough investigation into the strikes," Cleveland, who is part of the Operation Resolute Support, said. Relatives and tribal elders demanded for an investigation on Saturday claiming that the air raids hit civilians, not members of armed groups. However, Afghan officials told Al Jazeera that the people killed in the attack had links to the Taliban.

Security experts have devised a method that allows users to recover data from computers infected with the Petya ransomware program without paying money to cybercriminals. Petya appeared on researchers' radar last month when criminals distributed it to companies through spam emails that masqueraded as job applications. It stood out from other file-encrypting ransomware programs because it overwrites a hard disk drive's master boot record (MBR), leaving infected computers unable to boot into the operating system. The program replaces the drive's legitimate MBR code, which normally starts the operating system, with code that encrypts the master file table (MFT) and shows a ransom note. The MFT is a special file on NTFS volumes that contains information about all other files: their name, size and mapping to hard disk sectors. The actual contents of the user's files are not encrypted, but without the MFT, the OS no longer knows where those files are located on disk.

I do machine learning at work. For a long time (the whole time I've had this job, 2 years), I've struggled with a bunch of questions about complicated machine learning models. Are black box models good? Should we be using them? What can I do about it?