It’s 2019, and our CEO says we’re off to a great start. In fact, . . .
If you missed ODSC West in 2018, then you missed our CEO Robbie Allen give his talk on deploying machine learning in the enterprise. But fear not! The good folks at ODSC have provided video of his presentation.
In this talk, Robbie covers the importance (and definition) of good data and offers guidance for evaluating machine learning opportunities. Take a look!
If you’re interested in seeing our CEO or other team members live and in person, check out our upcoming events.
The Infinia ML team heads into the new year with gratitude for what was and excitement for what’s next.
Thank you to our clients, employees, friends, and supporters for making 2018 Infinia ML’s best year yet!
Here are a few highlights from the last 12 months:
The Triangle’s first Machine Learning Symposium recently brought together business and academic leaders for frank, focused, and fun conversations about the increasingly impactful technology.
Machine learning (ML) is about finding patterns in data, but you don’t have to use an advanced algorithm to recognize one clear trend: from leading campuses to top companies, ML is on the rise.
That’s one clear takeaway from Symposium’s speakers, who ranged from top ML researchers to industry-leading practitioners. The event was a joint collaboration of Infinia ML, the Durham machine learning company where I work, and UNC’s Frank Hawkins Kenan Institute of Private Enterprise.
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.
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.
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).”
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.”