The discovery by Tufts University biologists presents the first model of regeneration discovered by a non-human intelligence and the first comprehensive model of planarian regeneration, which had eluded human scientists for over 100 years. The work, published in the June 4, 2015, issue of PLOS Computational Biology, demonstrates how "robot science" can help human scientists in the future. In order to bioengineer complex organs, scientists need to understand the mechanisms by which those shapes are normally produced by the living organism. However, a significant knowledge gap persists between molecular genetic components identified as being necessary to produce a particular organism shape and understanding how and why that particular complex shape is generated in the correct size, shape and orientation, said the paper's senior author, Michael Levin, Ph.D., Vannevar Bush professor of biology and director of the Tufts Center for Regenerative and Developmental Biology. "Most regenerative models today derived from genetic experiments are arrow diagrams, showing which gene regulates which other gene. That's fine, but it doesn't tell you what the ultimate shape will be. You cannot tell if the outcome of many genetic pathway models will look like a tree, an octopus or a human," said Levin.

In collaboration with the Norwegian University of Science and Technology (NTNU) and the leading research institute SINTEF, Telenor will establish a lab focused on artificial intelligence and big data at NTNU in Trondheim, Norway. As the second initiative, Telenor will develop and launch a dedicated, next-generation Internet of Things (IoT) network in several Norwegian cities. Norwegian startups and students will get cost-free access to the IoT network in order to develop and test their products and services. The first pilot will be located in Oslo, in collaboration with StartupLab. "We need to build critical competencies within artificial intelligence and we want to give Norwegian startups the resources they need to succeed. This is imperative for our ability to seize digital opportunities and contribute to creating new jobs. Startups play a key role in net job creation. We aim to stimulate productivity in Norway by developing new competencies and supporting the startup community," says Sigve Brekke, President and CEO, Telenor Group.

Kyulux Inc announced that it has a license with Harvard University's Molecular Space Shuttle deep learning system to develop new display and lighting application materials, according to a news release. Kyulux is an advanced materials start-up company that commercializes thermally activated delayed fluorescence (TADF) OLED display and lighting technology. The Molecular Space Shuttle is an artificial intelligence platform designed by Alán Aspuru-Guzik's group at Harvard's chemistry and chemical biology department, where Aspuru-Guzik is a professor.

The U.K.'s Brexit vote was something few prognosticators saw coming prior to the June 23 referendum. But once the results were in, it was clear the vote to leave the European Union would have a major impact on financial markets. The pound sterling fell in value by 11% two days after the vote, and both the Dow Jones Industrial Average and the London Stock Exchange's FTSE 100 index lost more than 2% of their total value. This left millions of traders all over the world scrambling to find safer investment positions. But at least one group of investors was relatively calm, according to Omer Cedar, CEO of Omega Point Research Inc., a New York-based software company that sells analytics tools to help investment managers review their portfolios for risks.

Ford today announces its intent to have a high-volume, fully autonomous SAE level 4-capable vehicle in commercial operation in 2021 in a ride-hailing or ride-sharing service. This Smart News Release features multimedia. Ford has been researching autonomous vehicles for more than a decade, and intends to have a high-volume, fully autonomous SAE level-4-capable vehicle in commercial operation for ride sharing services in 2021. Ford currently tests fully autonomous vehicles in Michigan, Arizona and California, and will triple its autonomous test fleet this year to have the largest test fleet of any automaker. To get there, the company is investing in or collaborating with four startups to enhance its autonomous vehicle development, doubling its Silicon Valley team and more than doubling its Palo Alto campus.

More than a century after introducing the Model T, Ford hopes to once again change how the masses move. The company announced this morning that it will have thousands of fully autonomous vehicles in urban car-sharing and ride-hailing fleets by 2021. To achieve that goal, the company will double, to 300, the number of people at its Silicon Valley research center and add 60 autonomous vehicles to the fleet of 30 already deployed there. Google, Nissan, and Mercedes-Benz see autonomous vehicles on the road by 2020, and Chinese tech giant Baidu says it will have the technology in 2019. But none of them has made promises as specific as those Fields made today.

CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, today announced that Novatek Microelectronics, Taiwan's 2nd largest fabless IC design house, has licensed and deployed the CEVA-XM4 intelligent vision DSP for its next-generation vision-enabled System-on-Chips (SoCs) targeting a range of end markets requiring advanced visual intelligence capabilities. Novatek's current camera SoC lineup for car DVR and surveillance systems integrates the 3rd generation CEVA-MM3101 imaging & vision DSP and is shipping in volume. By integrating CEVA-XM4 as a dedicated vision processor in their next-generation SoC designs, Novatek and its customers can rapidly deploy highly-sophisticated vision algorithms to enable advanced applications such as surveillance systems with face detection and authentication, drone anti-collision systems and advanced driver assistance systems (ADAS). These types of applications are built utilizing CEVA's Deep Neural Network (CDNN2), a proprietary software framework that enables deep learning tasks to run on the CEVA-XM4 and outperform any GPU or CPU-based system in terms of speed, power consumption and memory bandwidth requirements. "The CEVA-XM4 is an exceptional processor for imaging and computer vision, offering outstanding performance, flexibility and power efficiency for applications requiring visual intelligence capabilities," said Allen Lu, Assistant Vice President of iVoT SBU, Novatek.

Susa Ventures, a San Francisco-based seed-stage venture firm, announced today that it has secured a 50 million fund, Susa Ventures II. This is just the second fund for the firm, which was founded three years ago and has so far backed 41 companies through its first fund of 25 million. With its new fund, Susa plans to back 12 companies per year at seed investments falling between 400,000 and 750,000 (roughly twice the check size compared to Fund I investments). Furthermore, the firm has wisened up about the way it invests. In Fund I, Susa adhered to a 1:1 ratio for follow-on funding.

SLOUGH, England--(BUSINESS WIRE)--Global business outsourcing provider Arvato has entered a strategic partnership with Blue Prism to offer Robotic Process Automation (RPA) to help councils deliver back-office transformation. The partnership will see Arvato use the cutting-edge automation software to provide local authorities with an end-to-end solution of identifying, designing, building and monitoring automated processes, providing RPA-as-a-service and consultancy and training. Arvato will use the innovative technology to help current and future clients in local government automate transactional back office functions, such as revenues and benefits, HR, payroll and finance, increasing process speed and efficiency while freeing up employees to deliver front-line services. RPA uses software to create an agile, virtual workforce which mimics human processing of repetitive labour-intensive tasks. It follows rule-based business processes and interacts with systems in the same way that people do.

Artificial intelligence (AI) is quickly becoming the backbone of many software features and services we use everyday. Anytime you search for specific image in Google Photos or read through Facebook's (NASDAQ:FB) NewsFeed, you're using a form of AI software and algorithms. These are just small AI examples, but there are much larger artificial intelligence trends that are changing how we drive our cars, use energy, answer questions, and connect with others. The companies behind these AI trends are pushing the technology forward like never before, and they (and their investors) could see major benefits just around the corner. Driverless cars are coming, there's no debating that.