With over 25 years of experience in product management and marketing, business process, and manufacturing engineering, Tony helps organizations infuse the power of deep learning to solve their ...

In this profile series, we interview AI innovators on the front-lines - those who have dedicated their life's work to improving the human condition through technology advancements. His background in electrical engineering, biomedical engineering, and computer science, helps him research different methods, including AI, to improve diagnostic imaging in the development of medical devices. In addition to OneProjects, Hennersperger also works with Trinity College in Dublin, Ireland and the Technical University of Munich in Germany. OneProjects is an innovative medical device start-up founded in 2017 in Dublin and Munich. For the past two years, OneProjects has been developing VERAFEYE, a new medical device treating cardiac arrhythmias.

It may seem that the time when artificial intelligence (AI) fully integrates into our lives is in the distant future. However, if you look to those pioneering technological advancements in telecommunications, retail, or the financial services industry, you'll find that AI is already changing the way these companies do business. AI - specifically deep learning, the fastest growing segment of AI - is quickly moving from its academic roots to the forefront of business and industry. This report, developed in partnership with O'Reilly Media, examines how companies in three market sectors--telecommunications, retail, and financial services--are tackling new challenges and opportunities by incorporating AI into their products and operations.

Oak Ridge National Laboratory unveiled Summit, the world's smartest, most powerful supercomputer. To put it into perspective, the universe is only half an exa seconds old. This supercomputer is designed to tackle challenges that will drive new breakthroughs further than ever before with AI and HPC applications. Summit's ability to combine HPC and AI techniques will give researchers the ability to automate, accelerate, and drive advancements in fields such as health, energy, and engineering. Summit runs 8 times faster than it's previous supercomputer, Titan.

In this profile series, we interview AI innovators on the front-lines - those who have dedicated their life's work to improving the human condition through technology advancements. Born and raised in Ethiopia, Gebru immigrated to the US at 16 to earn her PhD from Stanford Artificial Intelligence Laboratory and just finished her year as a post-doctoral researcher at Microsoft Research in New York. While she was still a PhD student, she co-founded Black in AI, an organization fostering collaboration and discussing initiatives to increase the representation of Black people in the field. Was there a moment where you questioned your path? I mean, when I first did analog circuit design, I was very much into hardware and that was my main focus while at Apple.

In order to lose yourself in a great story--whether it's a gaming experience or the next blockbuster superhero movie--you must believe in the world you're entering. Achieving the level of realism necessary to engage audiences often requires sophisticated visual effects and complex animation that involves a great deal of manual input. Deep learning is a subset of AI that is providing game developers, animators, movie makers, and other content creators with inspired shortcuts to complete repetitive tasks much faster, allowing artists to spend more time focusing on valuable creative work. Deep learning works by using layers of mathematics-based computer systems called neural networks to learn a wide variety of complex tasks very rapidly. These networks learn by example, taking in massive amounts of data to recognize patterns and understand how things look and move.

In a competitive marketplace, insights from recorded call center audio can help companies improve employee training, enhance lead qualification, increase sales, improve customer satisfaction, and reduce churn and employee turnover. But because call scoring is labor-intensive and time-consuming, most call centers only listen to approximately 2% of their recorded calls. Deepgram, a deep learning enabled voice-to-text technology company, is helping solve this challenge for enterprises by unlocking a wealth of information buried within these call recordings. Related: DeepGram's Dr. Scott Stephenson presents "From Dark Matter to Deep Learning in the Enterprise" at GPU Technology Conference 2018. They also have deep expertise in other industries, including medical, legal, media, and emergency services. One of Deepgram's early customers saw a 3% increase in annual revenue using the solution.

Autonomous vehicles will open up a wide range of benefits by removing the human from the driver's seat. They free up valuable time, enabling us to be more productive during trips or they can complete deliveries and other services 24 hours a day, seven days a week. While a range of different sensors and high performance AI supercomputers running redundant and diverse algorithms will safely pilot the vehicle, some tricky obstacles may pop up during neighborhood or delivery driving. A new construction site may not appear on a robotaxi's map, and a detour may not be readily apparent. A moving truck may block an autonomous delivery vehicle's path, and it can't see a way around.

In this vastly competitive AI market, many companies are overwhelmed with the relentless pace of innovation. Time to market is one key competitive differentiator, and having readily accessible supercomputing power within arm's reach quicken innovation from months to days. That's why we built the DGX Station, a powerful and purpose-built AI supercomputer workstation. It fits neatly under the desk and is ideal for researchers and developer teams. Let's explore how the DGX Station has benefited some of the leading AI companies and their research teams: The Data Center Comes to Your Desk.

Autonomous driving company Zenuity runs under the motto "Make it real." To achieve that goal, it began by solving one of the auto industry's biggest challenges: seamlessly managing enormous loads of data. Self-driving cars require enormous amounts of data to run in the real world. Zenuity is a joint venture between Volvo Cars and Veoneer, a new technology subsidiary spun out from auto supplier Autoliv. The company, which launched in April 2017, is developing software for advanced driver assistance systems and self-driving cars.