The new standard, called Open Coherent Accelerator Processor Interface (OpenCAPI), is an open forum to provide a high bandwidth, low latency open interface design specification. The open interface will help corporate and cloud data centers to speed up big data, machine learning, analytics and other emerging workloads. The consortium plans to make the OpenCAPI specification available to the public before the end of the year and expects servers and related products based on the new standard in the second half of 2017, it said in a statement. Intel, the world's largest chipmaker, is known to protect its server technologies and has chosen to sit out of the new consortium. In the past also, it had stayed away from prominent open standards technology groups such as CCIX and Gen-Z.

Oren Etzioni, chief executive officer at Allen Institute for Artificial Intelligence, David Kirkpatrick, chief executive officer at Techonomy, and Alex Moore, chief executive officer at Boomerang, discuss the White House's report on artificial intelligence, how A.I. will impact future jobs and the outlook for the technology. They speak to Bloomberg's Emily Chang on "Bloomberg Technology."

Enterprise search leader Lucidworks is tapping into the IBM Watson Developer Cloud platform for its Fusion platform, an application framework that helps developers to create enterprise discovery applications so companies can understand their data and take action on insights. Today's knowledge workers face an avalanche of data and documents. Lucidworks' Fusion is an application framework for creating powerful enterprise discovery apps that help organizations access all their information to make better, data-driven decisions. Fusion can process massive amounts of structured and multi-structured data in context, including voice, text, numerical, and spatial data. By integrating Watson's ability to read 800 million pages per second, Fusion can deliver insights within seconds.

Finding the perfect apartment is hard work, and most real estate websites don't make it any easier. Most sites give you a few search filters you can use, but those filters don't narrow down the search enough to be useful. You can look for apartments that have a certain number of bedrooms and bathrooms, and you can even look for apartments that have specific amenities, but you care about more than bedrooms, bathrooms, and amenities. When those are the only filters available, you still have to look through hundreds of properties to find the right one. Then, when you finally do find that property, you have to contact the landlord to schedule a tour.

Facebook, Amazon, Microsoft, Google and IBM are to join forces to create "The Partnership on Artificial Intelligence to Benefit People and Society" or Partnership AI for short. In 1996 IBM's Deep Blue computer was the first computer to win a game of chess against a reigning world champion human, but it still lost 4-2. In 1997 a heavily upgraded version of the Deep Blue system managed to beat the then reigning world champion Garry Kasparov in a six game rematch 3 ½ – 2 ½, so only just, but it still won. It therefore became the first computer to win both a game and a match against a reigning world champion under regular time conditions. This however wasn't AI, it wasn't even close, it was just a machine that could perform thousands of calculations based on observing a humans actions and act accordingly in an attempt to get to a specific end result (which to some extent is what every PC does).

Rudina Seseri is founder and managing partner at Glasswing Ventures, an Entrepreneur-In-Residence at Harvard Business School and an Executive-In-Residence for Harvard University's Innovation-Lab. First the computer, then the web and eventually social networks and smartphones all had the power to revolutionize how people live and how businesses operate. They destroyed companies that weren't able to adapt, while creating new winners in growing markets. While the exact timing and form of such waves of disruption are hard to predict, the pattern they follow is easy to recognize. Take the web/digital disruption, for example: There was a technological breakthrough (e.g.

Navigant Research estimates that utility companies will spend almost 50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities. The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future. Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs. Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure.

If you'd like to learn how to run R within Azure Machine Learning and SQL Server, you may be interested in these upcoming 4-day Practical Data Science courses, presented by Rafal Lukawiecki from Project Botticelli. In this classroom-based course, you will learn machine learning, data mining, some statistics, data preparation, and how to interpret the results. You will also learn how to formulate business questions in terms of data science hypotheses and experiments, and how to prepare inputs to answer those questions. Rafal will share his decade of hands-on experience while teaching you about Azure Machine Learning (Azure ML) which is the foundation of Cortana Analytics Suite, and its highly-visual, on-premise companion, the SQL Server Analysis Services Data Mining engine, supplemented with the free Microsoft R Open and Microsoft R Server software. By the end of this course you will be able to plan and run data science projects.

With his research into artificial intelligence, he sees potential to make a significant difference in the defence and emergency management sectors. His expertise in this area also forms the basis for his teaching in both the Master of Information Technology and the Master of Computer Science at RMIT University. We spoke to him to find out more about his passion for this increasingly relevant area of IT. I'm an Associate Professor in Artificial Intelligence within the School of Science and my work is focused on conducting research in a range of topics in artificial intelligence (AI). I also teach programming and specialist AI courses in both undergraduate and postgraduate programs; supervise a number of projects in smart systems product development; and I'm the program coordinator for the Bachelor of Computer Science. In addition to this, I manage and contribute to industry and Government funded research projects and have been part of nearly 1.5 million dollars' worth of research funding in the last five years.

Late last month, Amazon, Facebook, Google, IBM, and Microsoft announced that they will create a non-profit organization called Partnership on Artificial Intelligence. At the White House Frontiers Conference held at Carnegie Mellon University today, thought leaders from these companies explained why AI has finally arrived and what challenges lie ahead. While AI research has been going on for more than 60 years, the technology is now at an inflection point, the panelists agreed. That has happened because of three things: faster, more powerful computers; critical computer science advances, mainly statistical machine learning and deep learning techniques; and the massive information available due to sensors and the Internet of Things. The early decades of AI saw "a succession of disappointments and promises not met," said Yann LeCun, director of AI at Facebook.