Che Voigt believes his company has solved problems that have plagued the working world since the advent of typing. It's a solution to hunched backs, stiff necks and tight shoulders. It's a workstation that, with a push of a button, transitions from a standing desk to a seated table to a fully reclined platform like a dentist's chair. Its seat expands and retracts, supporting the whole body from head to heels. There's a screen and mouse and keyboard that follows the user's eyes and hands.

Deep Learning/Machine Learning (General): Companies that build computer algorithms that operate based on their learnings from existing data. Examples include predictive data models and software platforms that analyze behavioral data. Deep Learning/Machine Learning (Applications): Companies that utilize computer algorithms that operate based on existing data in vertically specific use cases. Examples include using machine learning technology to detect banking fraud or to identify the top retail leads. Natural Language Processing (General): Companies that build algorithms that process human language input and convert it into understandable representations.

I like to watch long-term technology and business trends and watch as they shape the products and services that I get to use and to write about. As I was preparing to write today's post, three such trends came to mind: As the industry pushes forward in accord with these trends, a couple of interesting challenges have surfaced over the past decade or so. Again, here's a quick list (yes, I do think in bullet points): The GPU (Graphics Processing Unit) was born of these trends, and addresses many of the challenges! Processors have reached the upper bound on clock rates, but Moore's Law gives designers more and more transistors to work with. Those transistors can be used to add more cache and more memory to a traditional architecture, but the von Neumann Bottleneck limits the value of doing so. On the other hand, we now have large markets for specialized hardware (gaming comes to mind as one of the early drivers for GPU consumption).

The Apache Software Foundation is now incubating a project backed by Cloudera Inc. and Intel Corp. that aims to bolster cyber security with Big Data analytics and machine learning. Previously known as the Open Network Insights (ONI) initiative, the project is now called Apache Spot, since it uses machine learning to sniff out bad traffic amongst good data. It can also study network traffic to characterize its unique behavior using the open source distributed storage and processing software Hadoop, which helps it to discover if any anomalies are present. Intel launched the project back in February on Cloudera's cloud computing platform. Apache Spot works by storing large amounts of information within Hadoop, then using Apache Spark to process data from deep packet inspection of domain name system (DNS) traffic, connections and log files from proxies.

Posted by Riku Inoue, Product Manager, Google Cloud Platform Earlier this year at GCP NEXT, we introduced new Cloud Machine Learning products with the intention to change the way businesses operate and create new customer experiences, while deepening the insights derived from data.Today, we want to share how Google aims to help more businesses benefit from the advancements in machine learning, while making it easier for them to use it. Google Cloud Machine Learning is now publicly available in beta and can empower all businesses to easily train quality machine learning models at a faster rate. With its powerful distributed training capability, you can train models on terabytes of data within hours, instead of waiting for days. Integrated with Google Cloud Platform (GCP), Cloud Machine Learning is a fully-managed service that can scale and creates a rich environment across TensorFlow and cloud computing tools such as Google Cloud Dataflow, BigQuery, Cloud Storage and Cloud Datalab. We're also introducing a new feature, HyperTune, that automatically improves predictive accuracy. It allows data scientists to build better performing models faster by automatically tuning hyperparameters, instead of manually discovering values that work for their model.

It looks like robots are one step closer to taking over the world. Scientists at Sony's CSL research lab unveiled a new track called "Daddy's Car." If that sounds bizarre to you, you're not wrong. Although the song sounds like any run-of-the-mill track, it's actually created by the artificial intelligence software Flow Machines. The software draws from a massive database of songs to compose its music, combining small elements of many tracks to create new compositions.

Computers can already recognize you in an image, but can they see a video or real-world objects and tell exactly what's going on? Researchers are trying to make computer video recognition a reality, and they are using some image-recognition techniques to make that happen. Researchers in and outside of Google are making progress in video recognition, but there are also challenges to overcome, Rajat Monga, engineering director of TensorFlow for Google's Brain team, said during a question-and-answer session on Quora this week. The benefits of video recognition are enormous. For example, a computer will be able to identify a person's activities, an event or a location.

Over 500 founders, CTOs, business leaders, software engineers & entrepreneurs came together at the 2nd annual Deep Learning Summit in London, to explore how deep learning will impact communications, manufacturing, healthcare, transportation and more. This event took place alongside the Deep Learning Summit, view the Storify: goo.gl/pCcQ33

Bots on Slack can help your team be more productive and accomplish more tasks. They can help you increase visibility into your operations or help your customers easily get information through a natural, conversational interface. However, building and running bots can be a time consuming and difficult task. Developers must provision, manage, and scale the compute resources that run the bot's code. Wouldn't it be nice if you could focus on building great bots without worrying about how to run and scale them?

BRATISLAVA (Reuters) – The European Commission wants to reduce national restrictions on where some types of commercial and health data can be stored, Vice-President Andrus Ansip said on Thursday. BRUSSELS (Reuters) – U.S. software company Salesforce called on EU regulators on Thursday to investigate antitrust issues related to Microsoft's 26 billion bid for social network LinkedIn. SAN FRANCISCO (Reuters) – A bill signed into law on Thursday by California Governor Jerry Brown allows a self-driving vehicle with no operator inside to test on a public road, a key step enabling a private business park outside San Francisco to test driverless shuttles. NEW YORK (Reuters) – Unocoin, a Bangalore-based bitcoin startup, has raised 1.5 million in funding from a mix of Indian and U.S. investors, the company announced on Thursday. 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.