Diffbot, an artificial intelligence company that helps clients extract and combine data from multiple Web sources, announced today it raised 10 million from investors including Tencent and Felicis Ventures to expand its "knowledge-as-a-service" offerings to businesses and consumer apps. The Palo Alto, CA-based startup, founded in 2009, still has a tiny staff of 14. But Diffbot's ambition is huge: to catalog trillions of facts across the Web--many of them drawn from page elements such as comment forums, which can't be mined by traditional search engines. The startup says it has made a significant start on that goal, having indexed 1.2 billion entities such as people, products, and places since the middle of last year. Its Global Index also encompasses 10 to 20 times that number of facts, says Diffbot founder and CEO Mike Tung.

It took 400 million years for the first life to appear on Earth. It took seven minutes for the system to create one of its' own kind. This is the beginning of HOUND project - a game, where you are able to create living things - eating, breathing, struggling for survival in the name of natural selection. If you ever had a fantasy of following Dr. Frankensteins' footsteps or playing God in basically any way, possible, this game is for you! Minimalistic open world sandbox, HOUND projects' "system" provides you with abilities to Manipulate artificial intelligence directly - it takes millions of years for living things to evolve on Earth.

And the battle to control and exploit that data is just getting started. On Monday, the Japanese carmaker Toyota announced a new subsidiary, called Toyota Connected, that will manage and mine the data collected from its vehicles, and the company said it would collaborate with Microsoft on the venture. The data collected and delivered might include mapping data, engine statistics, and records of driver behavior. Most immediately, this could mean updating vehicle features or patching bugs remotely. But the goal is also to develop new kinds of interfaces that predict a driver's intention.

The new Google logo is displayed at the Google headquarters on September 2, 2015 in Mountain View, California. Technology investors who bought shares of Alphabet last year on optimism that new CFO Ruth Porat would increase fiscal discipline were disappointed Friday. They pushed the Google parent's GOOGL shares down 5% to 737.77 on heavy trading volume, a day after learning that the company's investments in what it calls Other bets remain a drag on short-term profits. The category posted a first-quarter operating loss of 802 million, while generating sales of just 166 million, just a tiny fraction of overall revenue of 20 billion. Alphabet's money-losing moonshots take shine off Google's ad business Other bets include expensive, speculative projects such as building a self-driving car or bringing fiber-optic Internet cables into neighborhoods.

Google's parent company Alphabet saw its revenue grow 17% during the first three months of this year, the company said on Thursday, but spent more money on its experimental moonshot projects, engineers, data centers and YouTube shows, causing it to miss investors' profit expectations. Alphabet shares dropped more than 4% in the US during after-hours trading to about 724 a share. The dilemma illustrates Alphabet's key challenge as it seeks to become the technology firm most omnipresent in consumers lives, including search, email, smartphones, maps, self-driving cars, virtual reality and even cancer research. Alphabet's growth has also attracted attention from regulators. On 20 April, the European Union's antitrust regulators charged the company with using its mobile operating system, Android, to block out competitors.

About indico indico provides state-of-the-art machine learning algorithms for text and image analysis in the form of a simple to use web service. This, for the first time, enables companies to automatically extract meaningful insight from unstructured data regardless of their size or capability. Sentiment Analysis, Social Media Monitoring, Content Filtering, Content Classification, Recommendation, and Personalization are just some of the areas in which indico's customers are deploying its technology to improve business outcomes. Furthermore, indico's rapid customization capabilities have also enabled companies such as Mavrck, CO Everywhere, and interlinkONE to quickly develop compelling new solutions that weren't practical before.

SAN FRANCISCO, CA--(Marketwired - Mar 28, 2016) - Umbo CV, an artificial intelligence start-up and provider of event recognition systems that think and learn like humans for the professional security industry, announced that it completed a 2.8 million round of seed funding led by AppWorks Ventures. Also participating were Mesh Ventures, Fortune Global 500 Wistron Corp. and Phison Electronics. Up to now, the security industry has grappled with ways to receive real-time notifications of intruders or incidents, having tested pre-defined algorithms-based systems that failed. Umbo CV aims to solve this problem. The company has developed algorithms to link images from multiple cameras, thus giving machines a more in-depth understanding of real-time occurrences.

Artificial intelligence and wearables thrive across healthcare sectors, says Frost & Sullivan MOUNTAIN VIEW, Calif. While pharma companies have been seeking tools for tracking the effectiveness of therapeutics, imaging companies have been augmenting the interpretability of scans through cognitive pattern interpretation. For complimentary access to more information on this research, please visit: http://frost.ly/2b. Approximately 24 percent of consumers currently use mobile apps to track health and wellness, 16 percent use wearable sensors and 29 percent use electronic personal health records. Significantly, 47 percent of consumers reported they would consider using wearables in the near future, prompting technology developers to design wearables with advanced sensing, capture and analytical functionalities.

SAN FRANCISCO, CA--(Marketwired - Apr 11, 2016) - Grishin Robotics announces new 100 million fund, four times the size of its initial 25 million fund, announced in mid-2012. Originally one of the first exclusively robotics funds in the world, the firm now expands its investment focus to companies involved in the "Hardware Revolution" and becomes one of the ecosystem's largest players. While Dmitry self-financed Grishin Robotics' investments until now, a number of institutional and individual investors from Europe and the U.S. became partners in this new fund. Until recently, people mainly thought about robots as multi-functional products in humanoid form-factor. Today single-purpose devices, combining sensors with software and data analytics components, have the potential to radically automate the physical world around us -- eliminating "dirty, dull & dangerous" tasks from our lives and, thus, realizing the ultimate purpose of robotics.

Israeli online contract review platform LawGeex announced today 2.5 million in funding from Lool Ventures and LionBird and angel investors Eilon Tirosh and Rami Lipman. The startup has also launched its online contract review solution free of charge for consumers. LawGeex allows consumers to upload any type of contract to its platform and receive, within 24 hours, an in-depth report of what's good, bad and even missing from their contract. Currently reviewing over 20 types of contracts, the free solution begins with employment agreements, with more contract types to be offered for free in the near future. LawGeex cofounder and CEO Noory Bechor said, "The driving force behind LawGeex is the belief that no one should sign a contract that they don't fully understand. An astounding 33% of Americans need a lawyer every year but do not hire one, either because they can't afford to or did not know where to turn. This ultimately leads to one-sided negotiations and unfair results. LawGeex has already earned the trust of thousands of users while ensuring quality and transparency, leveling the playing field when it comes to contract negotiations. Our machine learning platform has already reviewed over tens of thousands of contracts, many of which are employment contracts from some of the world's largest tech companies such as Apple, Google, and Facebook. We make sure all employees get a fair deal."