On the very first day of Wolfram Camp, I called Stephen Wolfram "Steve." "It's Stephen, actually," said the world's most controversial physicist in his crisp-yet-droll British accent. In another life, the creator of Wolfram Alpha would have made an excellent BBC Radio News announcer. "No one under the age of 50 calls me Steve," he added. Katie Orenstein is a New York City-based writer, programmer, and thespian who moonlights as a high school senior.

Fasten your harnesses, because the era of cloud computing's giant data centers is about to be rear-ended by the age of self-driving cars. Here's the problem: When a self-driving car has to make snap decisions, it needs answers fast. Even slight delays in updating road and weather conditions could mean longer travel times or dangerous errors. But those smart vehicles of the near-future don't quite have the huge computing power to process the data necessary to avoid collisions, chat with nearby vehicles about optimizing traffic flow, and find the best routes that avoid gridlocked or washed-out roads. The logical source of that power lies in the massive server farms where hundreds of thousands of processors can churn out solutions.

When Manish Bhatia began working on Amazon Mechanical Turk as a side gig in 2010, he was surprised to find himself completely fascinated by the work. Contrary to frequent coverage depicting the piece-work platform as a digital sweatshop offering low-skill tasks, he thought the microtasks were intellectually stimulating. Many involved training machine-learning algorithms to do things like make purchasing recommendations based on past behavior or categorize content by genre; Bhatia enjoyed thinking of himself as the "AI behind the AI" and knowing that he was doing something to shape the future. The only problem was that he wasn't getting paid. Miranda Katz is an associate editor at Backchannel.

Science fiction gets a bad rap in some circles for being a genre with nothing but a bunch of spaceships and robots. It's also got drama, action, and even some romance. It's also full of spaceships and robots and if you're not really into those things, well, the door is over there. If you do adore droids and contraptions that fly through the cosmos, though, we have something here that's just for you. Below is a selection of the best sci-fi movies you can currently stream on Netflix, Hulu, and Amazon.

The current year has seen an unprecedented amount of hacker/ransomware attacks on government as well as private enterprises spread all across the world. Shadow Brokers came in form this year by leaking alleged NSA tools, which included a Windows exploit known as EternalBlue. In May, WannaCry ransomware crippled hundreds of thousands of computers belonging to public utilities, large corporations, and private citizens. It also affected National Health Service hospitals and facilities in the United Kingdom. It was halted in its tracks by utilizing its flaws and activating a kill switch.

With Japan's population ageing and shrinking, many Buddhist priests receive less financial support from their communities, prompting some to find part-time work outside their temple duties, said Michio Inamura, Nissei's executive adviser.

Vicor Corporation on August 22, announced the introduction of Power-on-Package modular current multipliers for high performance, high current, CPU/GPU/ASIC ("XPU") processors. By freeing up XPU socket pins and eliminating losses associated with delivery of current from the motherboard to the XPU, Vicor's Power-on-Package solution enables higher current delivery for maximum XPU performance. In response to the ever-increasing demands of high performance applications – artificial intelligence, machine learning, big data mining – XPU operating currents have risen to hundreds of Amperes. Point-of-Load power architectures in which high current power delivery units are placed close to the XPU, mitigate power distribution losses on the motherboard but do nothing to lessen interconnect challenges between the XPU and the motherboard. With increasing XPU currents, the remaining short distance to the XPU – the "last inch" – consisting of motherboard conductors and interconnects within the XPU socket has become a limiting factor in XPU performance and total system efficiency.

The health ministry may set up a data center to analyze the genomes of dementia patients as part of efforts to better treat the brain disorder, ministry sources said Wednesday. Using artificial intelligence to interpret a vast amount of genome data, the full set of an person's genetic information, the facility would be the nation's first such hub, the sources said. The Ministry of Health, Labor and Welfare will request outlays to finance the project under the state budget for fiscal 2018. Dementia is caused when nerve cells in the brain die or fail, leading to impaired memory and judgment. Although slowing the progress is possible in some cases, there is no established treatment to address the root cause of the symptoms.

Today, many companies use big data to make super relevant recommendations and growth revenue. Among a variety of recommendation algorithms, data scientists need to choose the best one according a business's limitations and requirements. To simplify this task, the Statsbot team has prepared an overview of the main existing recommendation system algorithms. Collaborative filtering (CF) and its modifications is one of the most commonly used recommendation algorithms. Even data scientist beginners can use it to build their personal movie recommender system, for example, for a resume project.

When it comes to making machines to perform tasks that humans have done for years, the United States, China and India are far ahead of anyone else, according to a top tech industry executive. The three countries are leading an artificial intelligence (AI) revolution, Malcolm Frank, head of strategy at leading outsourcing firm Cognizant, told CNNMoney in an interview. Frank is the co-author of a recent book entitled "What to Do When Machines Do Everything," on the impact artificial intelligence will have on the global economy in the coming years. "I think it's three horses in the race, and that's probably the wrong metaphor because they are all going to win," he said. "They are just going to win differently."