Infinia ML Chief Scientist Larry Carin Raises NeurIPS/NIPS Research Contributions to 44 Papers Since 2004
MONTREAL, December 3, 2018 – Infinia ML, an advanced machine learning company that delivers transformative automation solutions and data science to enterprise businesses, is celebrating more accepted research papers at the world’s most prestigious machine learning conference.
The Conference on Neural Information Processing Systems (NeurIPS, formerly NIPS), which has been compared to the AI world’s version of SXSW and CES, accepted less than 21% of submitted papers in 2018.
Among the accepted works is a paper co-authored by Infinia ML Research Scientist Hongteng Xu. “Distilled Wasserstein Learning for Word Embedding and Topic Modeling” proposes a machine learning method for hospital patient admission records that could help predict mortality and recommend procedures.
Dr. Xu and his colleagues are conference veterans. Infinia ML Chief Scientist Larry Carin co-authored three papers at NeurIPS this year, including Xu’s. In 2017 he was the event’s most-published researcher with ten papers. Altogether, Dr. Carin has contributed 44 papers to the conference since 2004. Infinia ML Data Scientist Ricardo Henao has contributed eleven since 2009.
This year’s NeurIPS conference is in Montreal through Saturday December 8th, 2018.
The Nov. 30 event will bring industry and academic leaders together with top students to explore new business applications for machine learning.
Chapel Hill, N.C. (Nov. 13, 2018)
The Frank Hawkins Kenan Institute of Private Enterprise at the University of North Carolina at Chapel Hill’s Kenan-Flagler Business School, in partnership with Infinia ML, an advanced machine learning company that delivers transformative automation solutions and data science to enterprise businesses, will host a cross-sector symposium on Friday, Nov. 30 to advance the field of machine learning. Academic and business leaders will come together with students to connect the possibilities of cutting-edge ML research with the realities of practical implementation.
Our Director of Engineering David Rasch has won a 2018 Triangle Software Developer Award! Specifically, the award for Software Development Leader.
The awards, which are sponsored by HireNetworks, “recognize the technical talent that has contributed to the incredible growth we’ve seen in the Triangle.” Nominees were judged on factors including communication, positive attitude, depth and breadth of technical expertise, and innovation.
Congratulations, David – it’s good to see you recognized for the qualities we see in you every day.
Are you a software engineer/developer looking to learn more about machine learning? On Tuesday, October 30th, join experts from the Triangle’s top machine learning company, Infinia ML, and Duke University’s machine learning lab for an intense bootcamp built specifically for you.
You’ll walk away with a foundational understanding of deep learning, an intro to the popular ML library TensorFlow, and practical advice for building software products with machine learning.
Infinia ML Chief Scientist Larry Carin is the co-author of a new paper in The Journal of the American Medical Association (JAMA), one the premier medical journals. The paper, On Deep Learning for Medical Image Analysis, is paired with a video explaining how convolutional neural networks (CNNs) work.
You’ll see Dr. Carin featured with other experts in the video, which is framed by the task of “automatically grading retinal images for diabetic retinopathy.” In case you’re not familiar, Mayo Clinic explains that it’s “a diabetes complication that affects eyes. It’s caused by damage to the blood vessels of the light-sensitive tissue at the back of the eye (retina).”
Mike McDonel, Formerly of Palantir, Will Lead Business Development For Machine Learning Products and Services
DURHAM, N.C., September 18, 2018 – Infinia ML, an advanced machine learning company, announced today that Michael McDonel, a former business development leader for Palantir Technologies, had joined the company as its Director of Business Development. At Infinia, McDonel will grow relationships with enterprise companies and fast-growing startups, helping them leverage machine learning to reduce costs, increase efficiency, and achieve breakthroughs.
McDonel worked with large institutions to tackle complex, sensitive enterprise data challenges during his time at Palantir. McDonel was also previously a Director at CEB (now Gartner), where he helped C-level executives at Fortune 500 firms solve critical business problems, and brings additional experience at the international development company DAI.
“This is a strategic hire for us, illustrating our commitment not just to growth but to making real business impact with machine learning,” said CEO Robbie Allen. “Our entire executive team is excited to work with Mike to take our company to the next level.”
McDonel himself also expressed enthusiasm for his start at the Durham company, whose staff has tripled since the beginning of 2018. “Infinia’s core team brings decades of experience and knowledge to the company and has grown a super talented group of people around them,” he said. “The team is already proving its machine learning solutions drive business outcomes for clients including Axiom and Korn Ferry.”
September 10, 2018 — Infinia ML is focused on business impact, but our commitment to academic research keeps us on the cutting edge of machine learning.
That’s why we’re proud to announce that the work of our Research Scientist Hongteng Xu, Ph.D., was among the ~22% of papers accepted at the upcoming Conference on Neural Information Processing System (NIPS), which Quartz has called “the world’s biggest and most important AI conference.”
Award Reflects High Employee Satisfaction Amid Rapid Growth
RALEIGH, N.C., September 7, 2018 – Infinia ML, an advanced machine learning company, was honored in a ceremony today as one of the Triangle’s “Best Places to Work.” The Triangle Business Journal conveys the coveted award to companies with the highest levels of positive employee feedback on an independently-administered survey.
“Being named a Best Place to Work is an honor from our employees, and we’re incredibly grateful for that,” said CEO Robbie Allen. “We’ve made a commitment to our employees to create a productive work environment, support the health and wellness of all employees, and encourage every employee to pursue their educational goals.”
The company, which has tripled in size since the beginning of 2018, recently moved into a larger office to accommodate growth.
Innovative Undergraduate Instruction Will Equip Future Engineers, Entrepreneurs and Startups to Strategically Leverage Machine Learning in Business
DURHAM, N.C. – September 5, 2018
Infinia ML, an advanced machine learning company that delivers automation solutions and predictive analytics to enterprise businesses, today announced a partnership with Duke University’s Pratt School of Engineering to integrate machine learning into the school’s entrepreneurial instruction.
Starting in the 2018-2019 school year, engineering students will attend lectures on machine learning from Infinia ML leaders including CEO Robbie Allen and executive chairman Mike Salvino. In addition, Infinia ML will work with Duke startups to implement machine learning in their businesses. Infinia ML’s endeavors will support the work of Steve McClelland, Duke Engineering’s entrepreneur in residence leading undergraduate entrepreneurship efforts.
In a recent survey by HFS Research, 86% of data science decision makers across the Global 2000 said that machine learning is impacting their industry today. But leaders want to be smart about how they forge ahead. When respondents were asked for their most important machine learning proof points, the number one concern was security.
Here at Infinia ML, security is a top priority. Our product group works closely with our Chief Information Security Officer to establish and reinforce a secure foundation for everything we build.
In this post, we’ll explore a blueprint for practicing machine learning in a way that protects your business and your data. Let the Five Ws and Three As of machine learning security be your guide.