This means that programmers must account for every type of road situation a car may encounter. MIT's Technology Review spoke with Amnon Shashua, CTO and cofounder of the technology firm to learn more about the initiative. Mobileye has been in the news of late for another reason--its system was the one being used by the Tesla vehicle that was involved in a car crash in Florida recently--the incident is still under investigation by the NHTSA. Tesla publicly blamed Mobileye, and because of that, a rift developed between the companies, which are now no longer partners. Shashua does not believe that will harm the company's new initiative, though--building a system based on neural networking, which, if all goes according to plan, will allow a car or truck to learn how to drive in much the same way that humans do. First, by observing someone else doing it, and then by practicing (which the company calls reinforcement learning).

John McClurg, Vice President in the Office of Security and Trust (OST), Cylance, told us, "CylancePROTECT is a truly advanced threat prevention solution. It sits on each endpoint within the organization, whether it's a desktop, laptop, mobile device, server, or virtual machine. By applying artificial intelligence, machine learning, and mathematic techniques, it instantly identifies and prevents malware and cyberattacks from executing. Basically, it protects from every threat known and yet-to-be-known, including system- and memory-based attacks, malicious documents, zero-day malware, privilege escalations, scripts, and potentially unwanted programs. The solution boosts the efficiency of your IT resources and reduces user impact throughout your organization. The endpoint security product uses little memory, less than 1% of CPU. It requires no Internet connection or signature updates and is engineered to run with minimal updates and fewer system resources. In addition, it works with Windows and Mac OS, easily integrates into existing security platforms, and is available in OEM and embedded versions for technology partners. It operates in every environment, whether it's 1,000, 10,000, or 100,000 endpoints. James Lantrip, Segment Head, Security, Siemens Industry, Inc., told us, "Siemens has a very customer-centric view.

SAN FRANCISCO – U.S. police departments used location data and other user information from Twitter, Facebook and Instagram to track protesters in Ferguson, Missouri, and Baltimore, according to a report from the American Civil Liberties Union on Tuesday. Facebook, which also owns Instagram, and Twitter shut off the data access of Geofeedia, the Chicago-based data vendor that provided data to police, in response to the ACLU findings. The report comes amid growing concerns among consumers and regulators about how online data is being used and how closely tech companies are cooperating with the government on surveillance. "These special data deals were allowing the police to sneak in through a side door and use these powerful platforms to track protesters," said Nicole Ozer, the ACLU's technology and civil liberties policy director. The ACLU report found that as recently as July, Geofeedia touted its social media monitoring product as a tool to monitor protests.

WIRE)--Zymergen, a technology company unlocking the power of biology, announced today that it has raised 130 million USD in Series B funding led by SoftBank Group (TOKYO: 9984). The round also includes prior lead investor Data Collective (DCVC), as well as return investors True Ventures, AME Cloud Ventures, DFJ, Innovation Endeavors, Obvious Ventures, and Two Sigma Ventures. New investors include Iconiq Capital, Prelude Ventures, and Tao Capital Partners. Zymergen also announced two additions to its Board of Directors: former U.S. Secretary of Energy and Nobel laureate Dr. Steven Chu, and SoftBank Group International Managing Director Deep Nishar, previously a longtime senior executive at Google and LinkedIn. Zymergen has developed a proprietary platform, which uses robots and machine learning to engineer microbes faster, more predictably, and to a level of performance previously unattainable.

The venerable 105-year-old IBM may be a global company, but while it has operated important labs and offices overseas, its business units have always been headquartered in the U.S. Until December of last year, that is, when it opened the new global headquarters for the IBM Watson Internet of Things (IoT) unit in Munich, Germany. Now, faced with dramatically increasing global demand for Watson IoT solutions and services, Big Blue is doubling down on that investment. On Tuesday, IBM announced a 200 million investment in the Watson IoT headquarters, marking one of the company's largest investments in Europe in its history. The investment is part of the 3 billion IBM has earmarked to bring Watson cognitive computing to IoT. IBM says the move is a response to escalating demand from customers who are looking to transform their operations using a combination of IoT and artificial intelligence technologies.

SEATTLE--(BUSINESS WIRE)--(NASDAQ: AMZN)--Today, Amazon announced the Alexa Prize, an annual university competition dedicated to accelerating the field of conversational artificial intelligence (AI). The goal of the inaugural competition is to build a "socialbot" on Alexa that will converse with people about popular topics and news events. The team with the highest-performing socialbot will win a 500,000 prize. Additionally, a prize of 1 million will be awarded to the winning team's university if their socialbot achieves the grand challenge of conversing coherently and engagingly with humans for 20 minutes. Teams of university students can submit applications now and the contest will conclude at AWS re:invent in November 2017, where the winners will be announced.

Imagine if computers could read and interpret documents. Humans could focus their efforts on understanding what analysis results mean to make better decisions. Our interest, at Dynamic Risk, is to improve the safety and reliability of energy pipeline networks by taking full advantage of the vast amounts of data locked in cumbersome formats, handwritten documents, drawings, photographs, and in paper archives. We want to fundamentally change how we ask questions and receive answers. Today, we ask questions based on the data we have available in structured databases.

This file photo taken on March 25, 2015 shows an UBER application shown as cars drive by in Washington, DC. The US ride-sharing service Uber announced August 18, 2016 it had acquired the commercial transport-focused tech startup Otto as the company presses ahead with its pursuit of self-driving technology. The announcement came as the company also announced a 300 million effort with the Sweden-based automaker Volvo Cars to develop driverless cars."If that sounds like a big deal -- well, it is," Uber CEO Travis Kalanick said in a statement. A Philadelphia judge had ordered ride-hailing companies to cease operations but both Uber and Lyft continued to offer rides there on Friday. Judge Linda Carpenter issued the injunction Thursday.

While Salesforce Einstein will be a powerful tool for B2C marketers and sales acceleration, according to Doug Bewsher, CEO of Leadspace and former CMO of Salesforce, "B2B marketers need a complete solution that works across multiple channels, in their existing marketing stack." Leadspace's more than 120 customers, including seven of the world's 10 largest enterprise software companies, get that today. "When marketers talk about artificial intelligence for B2B, they usually mean the ability to automate the process of finding, scoring and segmenting the best leads to reach the right decision makers," said Jason Seeba, Head of Marketing for BloomReach. "That's exactly what we've been doing at BloomReach for three years with Leadspace." Leadspace also provides a key element for AI success lacking in other solutions: on-demand data, updated in real time.

Singaporean Artificial intelligence data analytics startup Nugit Pte. Ltd. has raised 5.2 million in funding from Sequoia India. Founded in 2013, Nugit uses artificial intelligence, natural language generation, and visual design to help marketers generate more usable reports based on the big data generated by advertising activity. The company's platform provides analytics for digital marketers and C-suite professionals, turning data into decision-ready reports which flow straight back into the enterprise workflow. Artificial intelligence technology powers data cleaning, integration and harmonization of data sources in real time on Nugit's platform, while their Natural Language Generation technology adds on insights written in easy to understand language and "decision-ready" reports are then delivered via email or powerpoint. The reports themselves are said to be built around'smart stories' and beautiful visualizations that deliver better quality reporting in a shorter time frame.