The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech's colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we'd like you to meet James Smith, a second-year machine learning Ph.D. student. Smith is a unique combination of athlete and academic; he runs at least one marathon each year while also working on ways to design machine learning algorithms that positively impact the world. Other degrees earned and from what institution: B.S. and M.S. in Electrical Engineering, both from Auburn University (War Eagle!) Tell us about your research interests. Where might people be impacted by them in everyday life?

BROOKLYN, New York, Tuesday, October 22, 2019 – The ubiquity and sheer volume of data generated today give experts in virtually every domain ample information to track everything from financial trends, disaster evacuation routes, and street traffic, to animal migrations, weather patterns, and disease vectors. But using this data to build visualizations of complex predictive models using machine learning is a challenge to experts who lack the requisite computer science skills. A team at the NYU Tandon School of Engineering's Visualization and Data Analytics (VIDA) lab, led by Claudio Silva, professor in the department of computer science and engineering, developed a framework called VisFlow, by which those who may not be experts in machine learning can create highly flexible data visualizations from almost any data. Furthermore, the team made it easier and more intuitive to edit these models by developing an extension of VisFlow called FlowSense, which allows users to synthesize data exploration pipelines through a natural language interface. The research, "FlowSense: A Natural Language Interface for Visual Data Exploration with a Dataflow System" won the best-paper award at this year's IEEE Conference on Visual Analytics Science and Technology (VAST).

BOSTON--Among the phrases used to describe the AI business solution being offered by startups at AI World 2019 "machine learning automation" is used quite frequently. It's an automation services play in many cases. Companies wanting to get started in AI or get to the next step in the journey to operating AI applications, need help. Getting the data to a stage where machine learning can be employed is required. Some startups have an employment skew, offering to help companies find the needed data science or other AI team, or offering a remote workforce.

The superpowers of the new economy are also the buzz words changing how the world interacts: Artificial intelligence, the "internet of things" and edge computing are the megatrends dominating the conversation on both a business and a personal level. "Practical everyday things are being done in AI," said David Floyer, co-host of theCUBE, SiliconANGLE Media's mobile livestreaming studio. "It's going from being a niche to being just everyday use, and its impact long-term is profound." TheCUBE co-host Dave Vellante joined Floyer during today's Micron Insight event in San Francisco. They discussed recent developments in storage and memory, as well as the challenges and opportunities facing Micron Technology Inc. in the marketplace (see the full interview with transcript here).

Our Newsrewired digital journalism conference is fast approaching and we are really excited about the speaker lineup and the topics we have in store. To offer you a taster of what is coming on 27 November, we caught up with four of our panelists on this week's podcast to talk about what delegates will take away from the event. Driving diversity in your newsroom is not just a worthy ideal, businesses also cannot afford to ignore the need to diversify their newsrooms to attract new audiences. Marverine Cole, journalist, broadcaster and academic, Birmingham City University touches on how she is championing diversity in education and the industry, but also why news organisations must focus their efforts on diversity to survive. For local news organisations, resources are spread thinly and it can be difficult to keep up with the workload.

Theoretical computer science has been a vibrant part of computing research in India for the past 30 years. India has always had a strong mathematical tradition. One could also argue that in the 1980s and 1990s, theory offered a unique opportunity to keep up with international research in computing despite limited access to state-of-the-art hardware. The Annual International Conference Foundations of Software Technology and Theoretical Computer Science (FSTTCS) was launched in 1981. FSTTCS2 allowed Indian researchers a natural opportunity to interact with leading academics worldwide.

I believe that artificial intelligence is going to be our partner. If we misuse it, it will be at risk, if we use it right it can be our partner. Go anywhere today; the essence of AI is spreading in every sector. Starting from non-manual cash-registers to high tech security verification at the airports, AI is building a strong niche that is hard to resist. In-fact according to a survey done by Tractica, AI in eCommerce is booming at such a pace that the revenue is expected to reach $36.8 Billion worldwide by 2025.

In recent years, machine learning has become prevalent in almost every industry. Machine learning has the ability to learn automatically and bring about changes and improvements from experiences. However, most of the businesses today are facing a lot of hurdles while implementing machine learning projects. For those companies in this space, several organizations are offering support for effective machine learning implementation. Quickpath is one such company that is proving itself quite realistic by offering AI and machine learning solutions where businesses can take benefits.

Artificial intelligence has replaced many skills in recent years – including the skills needed to do some human jobs. The tech revolution has not gone unnoticed by American workers. A 2018 Gallup poll revealed that 70% of Americans believe AI will eliminate more jobs than it creates. Democratic presidential candidate Andrew Yang has sounded the alarm, raising the prospect that millions are at risk for long-term joblessness. I'm an expert on labor markets in the U.S., and I believe that AI will undoubtedly change the future of U.S. labor – but Yang is also exaggerating the impact AI will have on the workforce.

Artificial intelligence has replaced many skills in recent years – including the skills needed to do some human jobs. The tech revolution has not gone unnoticed by American workers. A 2018 Gallup poll revealed that 70% of Americans believe AI will eliminate more jobs than it creates. Democratic presidential candidate Andrew Yang has sounded the alarm, raising the prospect that millions are at risk for long-term joblessness. I'm an expert on labor markets in the U.S., and I believe that AI will undoubtedly change the future of U.S. labor – but Yang is also exaggerating the impact AI will have on the workforce.