A new legal technology company called Deftr is today launching a tool powered by artificial intelligence that helps professionals diagram intricate corporate structures. The tool reads text in real time, as it is being typed, then turns that text into a shareable, interactive graphic illustrating a corporate structure or transaction. In a press release being issued today, Deftr's co-founder and CEO Matthew Osman explained: Building charts to represent corporate structures or transactions essentially by hand is a laborious process all too familiar to anyone in corporate life. It's the reason a lot of associates don't have weekends. Our tool automates this outdated, manual process, allowing a user to build a chart in a fraction of the time and focus their efforts on high-level, analytical work. The tool should be of value to law firms, in-house legal departments, accounting firms, financial services and management consultants, Deftr says.

By 2020 50% or more of the U.S. workforce are expected to be on-demand workers / contingent workers in the liquid workforce. Zoondy capitalizes on this paradigm shift by utilizing a commodity brokerage approach to create a marketplace for seasoned professionals to sell their skills and expertise in four unique ways: free, fixed price, auction and goal pricing. Zoondy provides a secure, structured market environment for buyers and sellers of professional high-skill expertise to transact for the knowledge, expertise and skills that they need on a short term or project basis. While most associate freelance and on–demand workers with creative engagements, at best or un-skilled hourly gig workers, at worst, like Uber drivers, Fivver or Upwork; Zoondy targets the 43 million seasoned professionals, retirees and work-from-home executives who have proven expertise that can be shared locally or globally with businesses both small and large. For seasoned professionals, a Zoondy profile takes only minutes to set up and when completed the platform immediately begins marketing a user's skills.

NEW YORK, July 6, 2016 /PRNewswire-USNewswire/ -- Thanks to his business acumen, poster boy looks, and relentless activism for freedom of the internet, Reddit's co-founder Alexis Ohanian has become one of the most high-profile residents of Brooklyn. A startup based in Armenia and San Francisco named 1AI Solutions has recently launched a working AI-based version of Alexis Ohanian named Avedis Ohanian. Additionally they used 3-D printing to replicate the body of Alexis Ohanian, infusing it with their proprietary Artificial Intelligence engine. "There's a lack of qualified IT professionals here in Armenia", said Dr. J.P. Hagopian, the CEO of 1AI Solutions. "We need to hire people, but we simply can't find enough good candidates. At some point our HR manager said that we should clone one of the high-performing Silicon Valley guys. She was kidding, but the idea stuck."

July 6, 2016, Over a third (36%) of all developers who are actively working on Big Data or advanced analytics projects now use elements of machine learning according to Evans Data's recently released Big Data and Advanced Analytics survey report. While the market for machine learning is still fragmented, those developers actively working with machine learning are most likely to be targeting financial sectors, Internet of Things, or manufacturing. The survey of over 500 developers actively working with Big Data also showed that decision trees are the most used analytical model which links in closely with artificial intelligence and machine learning development. Linear regression and logistics regression were the next most cited analytical models. Logistics, distribution, or operations were the company departments most likely to be using advanced data analytics or Big Data solutions.

"BioTime harnesses the largest collection of highest-quality gene expression data coming from scrupulously designed and controlled cell differentiation experiments we have seen to date. It was large enough to train a complex architecture of deep neural networks to work as a classifier and a predictor of the embryonic state. We recently tested Embryonic.AI using mouse data and noticed surprising results showing the capabilities of this system in cross-species analysis. Research projects using Embryonic.AI may transform our understanding of cancer and other diseases and possible developments in reinforcement learning may help navigate and control cellular differentiation states", said Alex Zhavoronkov, Ph.D., CEO of Insilico Medicine, Inc. The system utilizes a sophisticated architecture of multi-class deep neural networks (DNNs) and DNN ensembles trained on thousands of samples of carefully selected cells of multiple classes: embryonic stem cells, induced pluripotent stem cells, progenitor stem cells, adult stem cells and adult cells to recognize the class and embryonic state of the sample, achieving high accuracy in simulations.

Google announced today that it has acquired Paris-based Moodstocks, a startup that has developed machine learning technology to bolster the image recognition features on smartphones. "We continue to pursue our machine learning and research efforts," wrote Vincent Simonet, head of the research and development team for France Google, "and Moodstocks is the latest proof of our commitment to this area." Today, we're thrilled to announce that we've reached an agreement to join forces with Google in order to deploy our work at scale. We expect the acquisition to be completed in the next few weeks. Our focus will be to build great image recognition tools within Google, but rest assured that current paying Moodstocks customers will be able to use it until the end of their subscription.

The next time you order food using the delivery app Just Eat in London, don't be surprised if it's brought to your door by a small, six-wheeled robot. London-listed Just Eat Plc. will join German retail chain Metro AG, logistics company Hermes Group, and U.K. food delivery startup Pronto Technology Ltd., in trialing delivery using self-driving robots. Starship Technologies, the company that makes the droids, said Wednesday that Just Eat and Pronto will be using the robots in London, while Metro and Hermes will deploy them in Dusseldorf, Germany, and Bern, Switzerland, as well as another undisclosed German city. Created by two Skype co-founders, Starship, which is headquartered in London and has its engineering research and development office in Tallinn, Estonia, has been testing its robots in 12 countries over the past nine months. This will be the first time businesses will be using the technology to deliver real orders to paying customers.

Google announced today that it has acquired Paris-based Moodstocks, a startup that has developed machine learning technology to bolster the image recognition features on smartphones. "We continue to pursue our machine learning and research efforts," wrote Vincent Simonet, head of the research and development team for France Google, "and Moodstocks is the latest proof of our commitment to this area." "Today, we're thrilled to announce that we've reached an agreement to join forces with Google in order to deploy our work at scale. We expect the acquisition to be completed in the next few weeks. Our focus will be to build great image recognition tools within Google, but rest assured that current paying Moodstocks customers will be able to use it until the end of their subscription."

Tokyo, June 27, 2016 --- Hitachi, Ltd. (TSE:6501; 'Hitachi') today announced the development of technology using artificial intelligence that automatically creates effective advice for raising the happiness of workers based on the behavioral data of each individual on a daily basis and the commencement of an internal trial with 600 participants from sales & marketing. More precisely, a name tag type wearable sensor collects the massive amount of individual behavioral data which is then analyzed using Hitachi AI*1Technology/H (hereafter referred to as H), and used to create and deliver personalized advice on actions automatically, such as on communication in the workplace or time allocation that will contribute to raising individual happiness. This advice is delivered daily, and individual workers can check the daily advice on their smartphone or tablet, and choose to apply the advice in their daily activity. Hitachi will integrate the results from this trial into the solution which it will provide to corporate and other organizations globally, to support increased productivity through a more active organization resulting from the increased happiness of workers. In recent years, increasing'happiness' has become one of society's most important issues.

Blackboard Inc. and IBM (NYSE: IBM) today announced a collaborative agreement for IBM to manage Blackboard's datacenters and cloud infrastructure. The two companies will also work together to develop innovative educational solutions, taking advantage of IBM Watson's cognitive computing technology and Blackboard's broad capabilities suite. Under the agreement, IBM will manage much of Blackboard's technology infrastructure, including the company's 28 global data centers and its existing public cloud footprint. IBM will also provide support for Blackboard's expanding use of the public cloud. Blackboard will leverage IBM's expertise and software to offer customers some of the most flexible, reliable, security-rich and resilient environments available.