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Interview: Vivienne Sze, Associate Professor of Electrical Engineering and Computer Science at MIT

I recently caught up with Vivienne Sze, Associate Professor of Electrical Engineering and Computer Science at MIT, to discuss the launch a new professional education course titled, “Designing Efficient Deep Learning Systems.” The two-day class will run March 28-29, 2018 at the Samsung Campus in Mountain View, CA and will explore all the latest breakthroughs related to efficient algorithms and hardware that optimize power, memory and data processing resources in deep learning systems.

“Above the Trend Line” – Your Industry Rumor Central for 12/11/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Data Scientists! Transform your PC into an AI Supercomputer

As a data scientist, I’m constantly amazed at all the new and exciting tools at my disposal to perform my data duties. Advances in algorithms, software frameworks, and hardware are making tasks once thought impossible, now commonplace. That’s why I perked up when I saw the new announcement from NVIDIA introducing the TITAN V, an incredibly powerful GPU for the PC, driven by an advanced GPU architecture, NVIDIA Volta.

TOP 10 insideBIGDATA Articles for November 2017

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – November 2017

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Interview: Ben Bromhead, CTO and Co-founder at Instaclustr

I recently caught up with Ben Bromhead, CTO and Co-founder at Instaclustr, to discuss the departure of DataStax from the Apache Cassandra open source project, and how there’s now a void with regard to Cassandra dev community health, database feature upgrades, and overall commits. Instaclustr is looking to step into this space, fill the vacuum, get commits back up, and replace DataStax on these initiatives.

“Above the Trend Line” – Your Industry Rumor Central for 11/20/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Book Review: Weapons of Math Destruction by Cathy O’Neil

Normally the books I review for insideBIGDATA play the role of cheerleader for our focus on technologies like big data, data science, machine learning, AI and deep learning. They typically promote the notion that utilizing enterprise data assets to their fullest extent will lead to the improvement of people’s lives. But after reading “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy,” by Cathy O’Neil, I can see that there’s another important perspective that should be considered.

Interview: Ayush Parashar, Co-Founder and Vice President of Engineering at Unifi Software

I recently caught up with Ayush Parashar, Co-Founder and Vice President of Engineering at Unifi Software, to discuss the role and value of metadata as enterprises embrace self-service access to data. Unifi leverages metadata in almost every aspect of what they do. From delivering an elegant user experience to powering AI, it’s a key asset in supporting the capabilities and functionality they are able to deliver to a business user.

“Above the Trend Line” – Your Industry Rumor Central for 11/8/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.