VIDEO: Chief Scientist Larry Carin on Convolutional Neural Networks

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).”

Infinia ML Hires Head of Business Development to Accelerate Growth

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.”

Infinia ML Research Accepted at NIPS 2018

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.”

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Infinia ML Honored as One of the Triangle’s “Best Places to Work”

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.

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Infinia ML Partners with Duke University to Help Emerging Entrepreneurs Make Business Impact

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.

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A Secure Foundation for Machine Learning

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.

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Enterprises Expect A Two-Year Timeframe For Machine Learning To Go Mainstream

DURHAM, N.C., and Cambridge, UK, July 31, 2018 –  Enterprises anticipate that machine learning (ML) will permeate and influence the majority of business operations. Over half (52%) of enterprises expect this impact in the next two years, according to a new research study unveiled today by HFS Research in partnership with Infinia ML.

HFS Report Image

HFS’ new report, “How to Avoid Your Looming Machine Learning Crisis,” finds only 29% of data science decision makers across the Global 2000 believe machine learning is overrated. On the contrary, the majority (86%) believe machine learning is impacting their respective industries.

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Infinia ML Named Machine Learning “Hot Vendor” by HfS Research

HfS Praises Infinia ML’s Focus on Business Value

DURHAM, NC, July 17, 2018 – Infinia ML announced today that it had been named a Hot Vendor in the field of machine learning by HfS Research. The HfS report notes Infinia’s “mission to link ML development to measurable business impact for its clients”, its “distinguished leadership team,” and its “dedication to research and innovation.” According to HfS, Infinia ML’s “experience, talent, and IP has earned it the HfS Hot Vendor tag.”

Hot Vendor badgeThe Hot Vendor report highlights Infinia ML client projects in contract analysis, pay benchmarking, ultrasound image identification, cancer detection, and more. HfS says its Hot Vendors, chosen via a five-step assessment process, “display truly differentiated offerings and out-of-the-box thinking that can be both inspiring and useful.”

HfS CEO and Chief Analyst Phil Fersht said the decision to name Infinia ML to the group was straightforward. “A lot of companies claim machine learning expertise but struggle to develop their talent in any relevant depth,” he said. “Infinia ML backs up that claim with research credentials, real-world experience, and a record of business impact. The firm brings a fresh, no-nonsense approach to ML development and directs its clients away from conducting mere ‘science experiments’, refocusing efforts around building business value—growing revenues and driving down costs.”

Infinia CEO Robbie Allen celebrated the designation. “We’re thrilled to be recognized as a Hot Vendor by HfS Research,” he said. “We will strive to live up to the honor by helping clients leverage machine learning to redefine what’s possible.”

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Infinia ML Chief Scientist Among Most Prolific Researchers at International Conference on Machine Learning

Publications Make Infinia’s Larry Carin a Leader at the World’s Most Prestigious Machine Learning Conferences

Dr. Ricardo Henao, left, speaks to Dr. Larry Carin. Henao and Carin co-authored four papers at ICML.

DURHAM, N.C., July 10, 2018 – Infinia ML, an advanced machine learning company, announced today that its Chief Scientist, Larry Carin, Ph.D., is the second-most published researcher at the Thirty-fifth International Conference on Machine Learning (ICML), which begins today in Stockholm. Carin published seven papers, second only to the eight from Tencent Labs’ Tong Zhang.

ICML, which attracts research from institutions like Google, Stanford, Microsoft, MIT, and Facebook, is widely considered one of the world’s most prestigious machine learning gatherings. Another is the Conference on Neural Information Processing Systems (NIPS), where Carin was the most-published researcher in December 2017.

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Infinia ML Wins “Best Machine Learning Company” in 2018 AI Breakthrough Awards

DURHAM, N.C., June 26, 2018 – Infinia ML, an advanced machine learning company that delivers transformative automation solutions and predictive analytics to enterprise businesses, today announced that it has been selected as the winner of the “Best Machine Learning Company” award from AI Breakthrough, an independent organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today.

“We’re honored by this award, which affirms our focus on making real business impact with machine learning,” said Robbie Allen, CEO at Infinia ML. “We’re especially grateful to our clients, whose data and domain expertise make our work possible. Their trust empowers us to reduce costs, increase efficiency, and achieve new breakthroughs.”

The mission of the AI Breakthrough Awards is to honor excellence and recognize the innovation, hard work and success in a range of AI and machine learning related categories including AI platforms, Deep Learning, Smart Robotics, Business Intelligence, Natural Language Processing, industry specific AI applications and many more. This year’s program attracted more than 2,500 nominations from over 15 different countries throughout the world.

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