Luminance, which provides Artificial Intelligence software for law firms and in-house teams, is gunning for the Disruptive Technology accolade in the 30th Anniversary Business Weekly Awards. Based at the Maurice Wilkes Building at St John's Innovation Park, Luminance prides itself as being the only platform to bring true artificial intelligence to the legal profession. Its submission says: "By deploying a unique blend of supervised and unsupervised machine learning, the core technology'LITE' is able to read and understand language in a way that is similar to the human brain and then learns from lawyers' interactions with documents as they conduct their review. "Luminance has enhanced the lives of lawyers in 165 countries globally, including 17 of'The Global Top 100', such as Holland & Knight, Slaughter and May and Bird & Bird, as well as each of the Big Four accounting firms." The company's pattern-recognition technology reads, understands and learns from the interaction between lawyers and documents, pinpointing warning signs that would be missed during a manual review.

Mark was recently quoted by Greg Sterling of Search Engine Land in an article on the future of call analytics. Jana Baker: Mark, in the SEL article, How call tracking is becoming'conversational intelligence,' author Greg Sterling states that'marketers have only scratched the surface of what call analytics can do.' I'd like to explore what this means. Marchex has been a provider in the call tracking industry for over a decade, and has been a leader in this industry as it's evolved. Can you share your perspective on this point of view?

AI for BI is a key tenet of the third generation of analytics. Sometime in the middle of the current decade, features such as augmented intelligence, machine learning and natural language processing started to become key parts of business intelligence platforms. In the years since, although analytics platforms have progressed, AI for BI still hasn't matured to the point where analytics tools can truly free up humans from the mundane tasks associated with data analysis, to the point where data analysis is part of everyday applications rather than a stand-alone application unto itself, or to the point at which BI platforms can predict for humans a likely outcome before they even request it. And it hasn't gotten to the point where it's accessible to everyone. In September, Constellation Research released a report entitled "Augmented Analytics: How Smart Features Are Changing Business Intelligence."

He published Apple's first research paper on AI, which then won the Best Paper Award at the Conference on Computer Vision and Pattern Recognition. His work has contributed to the development of autonomous vehicles, Face ID in the iPhone X, facial microexpression detection, and sign language translation – it also landed him on Forbes' 30 Under 30 in Science for 2018. With a vision that artificial intelligence can improve lives, Tomas Pfister has poured himself into AI research, hoping to have a positive impact on the world with this powerful technology. In this exclusive interview, Pfister discusses the origins of his scientific interest, what made his Apple paper so innovative, and his current research with Google. Tomas Pfister: As a child I was always fascinated by computers.

The opening keynote for DevLearn 2019 Conference & Expo was beautiful, poised, and … a robot. Sophia was created by Dr. David Hanson of Hong Kong-based Hanson Robotics. In a conversation with The eLearning Guild's executive director and executive vice president David Kelly, Sophia spoke about artificial intelligence and its impact on work and society. "What really excites me is the opportunity to dispel some common misconceptions humans have about artificial intelligence," said Sophia, who was draped in a black garment and spoke in an eerily polite, feminine voice. "The first is the assumption the AI conversation is about robots. Artificial intelligence is affecting many different aspects of life. Most of us are interacting with AI every day without even realizing it."

Artificial intelligence might sound like a futuristic concept, and it may be true that we're years or decades away from a generalized form of AI that can match or exceed the capabilities of the human brain across a wide range of topics. But the implications of machine learning, facial recognition and other early forms of the technology are already playing out for companies, governmental agencies and people around the world. This is raising questions about everything from privacy to jobs to law enforcement to the future of humanity. On this episode of the GeekWire Podcast, we hear several different takes from people grappling right now with AI and its implications for business, technology and society, recorded across different sessions at the recent GeekWire Summit in Seattle. Listen to the episode above, or subscribe in your favorite podcast app, and continue reading for edited excerpts. Smith: I think it's fair to say that artificial intelligence will reshape the global economy over the next three decades probably more than any other single technological force, probably as much as the combustion engine reshaped the global economy in the first half of the 20th century. One of our chapters is about AI in the workforce, and we actually start it by talking about the role of horses, the last run of the fire of horses in Brooklyn in 1922. And we trace how the transition from the horse to the automobile changed every aspect of the economy. I think the same thing will be true of AI, so we should get that right.

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).