Lots of prior work with hierarchy (hierarchical RNN / stacked RNN) and multi-scale (LSTM, clockwork RNN) but they all rely on pre-defined boundaries, pre-defined scales, or soft non-hierarchical boundaries. Avoids "soft" gating which leads to "curse of updating every timestep". Discrete (binary) decisions are difficult to optimize due to non-smooth gradients. Uses straight-through estimator (as an alternative to REINFORCE) to learn discrete variables. The simplest variant uses a step function on the forward pass and a hard sigmoid on backward pass for gradient estimation.

Data science sits at the core of any analytical exercise conducted on a big data or Internet of Things (IoT) environment. Data science involves a wide array of technologies, business, and machine-learning algorithms. The purpose of data science is not only to do machine learning or statistical analysis, but also to derive insights out of the data that a user with no statistics knowledge can understand. In a fast-paced environment such as big data and IoT, where the type of data might vary over the course of time, it becomes difficult to maintain and re-create the models each and every time. This gap calls for an automated way to manage the data-science algorithms in those environments.

As we inch closer to a time when we may rely on truly autonomous devices to move us or do things on our behalf, the need for software that's able to think on its feet (or mid-air) will be essential. Now, an artificial intelligence startup working on this emerging area of machine learning has raised a seed round of funding to try to do just that. Cambridge, UK-based Prowler.io, which is building a platform that can be used by makers of autonomous systems to help those machines think and learn to make better decisions, has raised 1.5 million ( 2 million). The company is still largely in stealth with little information available online. But CEO Vishal Chatrath tells me that the funding -- which comes from Passion Capital, Amadeus Capital and Singapore's Infocomm Investments -- will be used to continue research and development of its platform, as well as hiring more talent to build it.

Introduction In the previous article, we described combat performance in the Artificial Intelligence PK Gold Medal Stenography Competition and told the story behind the annual Alibaba Cloud meeting's Man VS Machine competition. Are there any curious technology geeks out there? What was the on-site real-time transcription system? What on earth is the core of a speech recognition system? How come the Alibaba Cloud iDST speech recognition system is so accurate?

One of the examples of these areas in action is work Accenture is doing using a a combination of drones, computer vision, Bayesian learning and geospatial analytics to survey palm fields in Indonesia. Through the application of Artificial Intelligence, we've been able to help a leading forestry company in Indonesia analyze over 1 million records and 6000 variables covering 15 years across 0.5 million hectares of land. This involves combinations of disparate data such as GIS, Video, Water table, Soil information, historical inventory, work orders and more. Through this work we've helped identify deforestation and growth patterns, and identify areas and species where planting seedlings to reforest is not effective. We've gone from what used to take 36 human hours of analysis down to minutes.

Microsoft said on Thursday it created a new artificial intelligence unit, as the company pushes deeper into the fast-growing field. Silicon Valley is diving into artificial intelligence (AI) and machine learning research, an industry estimated to zoom to 70 billion by 2020 from just 8.2 billion in 2013, according to a Bank of America report that cited IDC research. On Wednesday, Microsoft teamed up with four other big technology companies--Amazon.com, Alphabet unit Google, Facebook and IBM--to create a non-profit organization to advance public understanding of AI technologies. The new unit--Microsoft AI and Research Group--will be headed by Harry Shum, a company veteran who has held senior roles at the Microsoft Research and Bing engineering divisions.

The tech behemoths want consumers to feel comfortable with real-life versions of Ava, the robot from Ex Machina. The Partnership on Artificial Intelligence to Benefit People and Society was unveiled today by Google, Facebook, Amazon, IBM and Microsoft. Their chief mission is to promote public understanding of AI while developing standards and best practices for researchers to abide by. A press release late on Wednesday stated: "The objective of the partnership on AI is to address opportunities and challenges with AI technologies to benefit people and society. Together, the organization's members will conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability and robustness of the technology. It does not intend to lobby government or other policymaking bodies."

Microsoft has announced the formation of its AI and Research Group, which it says will help the company democratize artificial intelligence use across individuals and organizations. The group unites Microsoft Research, which has been its own unit since 1991, with more than 5,000 computer scientists and engineers working on the company's artificial intelligence products. News of the Microsoft AI and Research Group came a day after the company announced the Partnership on AI with Amazon, Facebook, Google and IBM in an effort to "study and formulate best practices on AI technologies, to advance the public's understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society." AI and machine learning action at Microsoft has been going nonstop in recent years, in terms of internal development, acquisitions and industry efforts. In fact, Microsoft just bought an intelligent scheduling company called Genee.

NEW YORK - 28 Sep 2016: Amazon, DeepMind/Google, Facebook, IBM (NYSE: IBM) and Microsoft today announced that they will create a non-profit organization that will work to advance public understanding of artificial intelligence technologies (AI) and formulate best practices on the challenges and opportunities within the field. Academics, non-profits, and specialists in policy and ethics will be invited to join the Board of the organization, named the Partnership on Artificial Intelligence to Benefit People and Society (Partnership on AI). Leading tech industry researchers from Amazon, DeepMind/Google, Facebook, IBM and Microsoft convened to announce a partnership on artificial intelligence (AI) best practices, at IBM's Watson headquarters in New York City, Weds., September 28, 2016. Founding members of the Partnership on Artificial Intelligence from left: Eric Horvitz, Microsoft; Francesca Rossi, IBM; Yann LeCun, Facebook and Mustafa Suleyman, Google/DeepMind. Not pictured is Ralf Herbrich, Amazon.

Fujitsu has introduced a new technology to improve the internal memory of GPUs in order to increase the machine learning accuracy. Fujitsu claims that the new technology has doubled the efficiency of machine learning compared with previous technology. According to the company, in recent years the use of GPUs in machine learning has increased. GPUs have been providing the raw power to complete the complex calculations required for machine learning. The calculations can be done seamlessly when the data is stored in the GPU chip, but there is a limit on the GPU chips to store information.