Machine learning and artificial intelligence (AI) may sound intimidating, but Dean said enterprises don't need the technical resources of a company like Google to get started. There are now lots of options that let businesses bring their own data to machine learning platforms that contain pretrained models or algorithms that organizations can train themselves. Google offers such a service, and the Spark data processing engine contains a library of machine learning algorithms. Such offerings lower the bar to entry. Other speakers at the Spark conference agreed the time is ripe for machine learning applications across various vertical markets.

Who do we become when we die? Our identities are such fragile, personally curated things: we go through life as children, then students and peers, and sometimes switch to a vocational preference. A person becomes farmer, shepherd, mechanic, soldier, baker, homemaker, brigand, or bandit, or backyard bomb-maker -- whichever strikes us by calling or necessity. People assume narrower identities, a lover for an afternoon, a wedding guest for a weekend. Perhaps it's the wrong wedding, the wrong place, the wrong people, and whatever mish-mash of identities, they end with a hellfire strike and a grim, clinical finality. The bodies become "military-age males," the rich matrixes of interwoven identities collapsed into two categories, a fatal guilt decided abroad in the moment of impact.

In what is being perceived as another attempt to tighten its control over the internet, China's internet regulator on Saturday announced new rules that ban search engines from showing subversive information and obligate them to clearly identify paid results. The new regulations, which will take effect from Aug. 1, come close on the heels of the death of a 21-year-old college student, who is believed to have undergone an unapproved, experimental cancer treatment he found using the search engine Baidu. "Some search results lack objectivity and fairness, go against corporate morals and standards, misleading and influencing people's judgment," the Cyberspace Administration of China -- the country's internet regulator -- reportedly said. "Internet search providers should earnestly accept corporate responsibility toward society, and strengthen their own management in accordance with the law and rules, to provide objective, fair and authoritative search results to users." In addition, search engines would also be required to censor "rumors, obscenities, pornography, violence, murder, terrorism and other illegal information" -- regulations that the Chinese government claims are needed to safeguard the security of its citizens.

HOW HAS ARTIFICIAL intelligence, associated with hubris and disappointment since its earliest days, suddenly become the hottest field in technology? The term was coined in a research proposal written in 1956 which suggested that significant progress could be made in getting machines to "solve the kinds of problems now reserved for humans…if a carefully selected group of scientists work on it together for a summer". That proved to be wildly overoptimistic, to say the least, and despite occasional bursts of progress, AI became known for promising much more than it could deliver. Researchers mostly ended up avoiding the term, preferring to talk instead about "expert systems" or "neural networks". The rehabilitation of "AI", and the current excitement about the field, can be traced back to 2012 and an online contest called the ImageNet Challenge.

One early morning in March 2011, Albert Chretien and his wife, Rita, loaded their Chevrolet Astro van and drove away from their home in Penticton, British Columbia. Their destination was Las Vegas, where Albert planned to attend a trade show. Rather than stick to the most direct route, they decided to take a scenic road less travelled, Idaho State Highway 51. The Chretiens figured there had to be a turnoff from Idaho 51 that would lead them east to US Route 93 all the way to Vegas. Albert and Rita had known each other since high school. During their 38 years of marriage, they had rarely been apart. They worked together, managing their own small excavation business.

Thinking about how important the funnel of a customer is for a company, we appreciate when new tools make the process easier. This is why we built Marketeer and today we are presenting version 3.0 with Marketeer Intelligent CRM. I have been working with artificial intelligence for a while – since the end of the 90s to be exact meanwhile I was running an advertising company. In 2012 I decided to invest time and money into building a new product that would help me make communication easier and effective for my clients. And today, we have it!

Giving up the controls was as breathtakingly simple as touching two turquoise coloured buttons below the steering wheel with both thumbs. A melodious bell chimed, a line of LEDs stretching across the dashboard switched from red to yellow to aqua blue, and the steering wheel withdrew slowly and serenely from my sweaty grasp. But any nervousness I felt stemmed far more from being required to steer a multimillion-euro research vehicle the few kilometres from German car manufacturer Audi's headquarters in Ingolstadt, Bavaria, on to the autobahn, than the fact that "Jack" had now taken over the driving. I had signed a liability waiver before embarking on the road test, which required me to accept the risks of a piloted journey on the autobahn, including possible injury or death. But once Jack was calling the shots, it took remarkably little time to get used to the idea.

A group of researchers from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) have developed a way to train artificial intelligence to read and interpret pathology images. Scientists tested the artificial intelligence (AI) during a competition at the annual International Symposium of Biomedical Imaging, where it was tasked to look for breast cancer in images of lymph nodes. It turns out it can detect breast cancer accurately 92 percent of the time and won in two separate categories during the contest. Andrew Beck from BIDMC says they used the deep learning method, which is commonly used to train AI to recognize speech, images and objects. They fed the machine with hundreds of slides marked to indicate which parts have cancerous cells and which have normal ones.

Silent Hill composer Akira Yamaoka and one half of the two-man studio behind PlayStation-exclusive Sound Shapes, Shaw-Han Liem are scheduled to perform as well. If none of those names make you want to book a flight to Kyoto, Japan maybe, just maybe word that Seaman creator Yoot Saito will be in attendance too. Once again, Indie Megabooth is helping organize the event and it all goes down July 9th and 10th. When our own Jessica Conditt spoke with Indie Megabooth's President and CEO Kelly Wallick last year, Wallick said of BitSummit that it had "a tremendous impact on how not only local developers see their own community, but how the greater international community does as well."

Researchers have developed a series of AI-based systems that can interpret pathology images and identify the presence and absence of metastatic cancer. The AI systems could lead to new and improved diagnostic methods and treatment. A group of researchers from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School in Boston have teamed up to develop new diagnostic methods based on artificial intelligence (AI). Humayun Irshad, PhD research fellow at Harvard Medical School and one of the lead authors on the research, says that their group is using all kinds of different computational methods to improve diagnostic techniques. "We are developing robust and efficient computational methods to improve diagnostic and prognostic assessment of pathological samples," Irshad says.