Kenan Institute of Private Enterprise, Infinia ML to Host Machine Learning Symposium

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.

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

DURHAM, N.C., and Cambridge, UKJuly 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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Mice & Machine Learning Help Map the Mind

In a new paper co-authored by Infinia ML Chief Scientist Larry Carin and published in the journal Cell, machine learning gave scientists a new way to understand and treat depressed brains. Today, mice are the subjects. Humans could be next.


DURHAM, N.C., Mar. 1, 2018 — Mice brains and machine learning may lead to a new way to treat depression, according to a new paper published in the journal Cell and co-authored by Infinia ML Chief Scientist Larry Carin, Ph.D.

The paper describes how scientists measured electrical signals in the brains of both observably resilient, active mice and observably depressed, inactive mice. The complexity and scale of the available data, gathered from 18 regions of the brain, then required advanced machine learning for analysis. In effect, scientists trained a learning algorithm to map each brain’s connections. They found a pattern in the resilient mice that differed from the depressed.

Larry Carin, Ph.D.
Infinia ML Chief Scientist Larry Carin, Ph.D.

“We wanted to understand the traffic flow of a healthy brain,” said Carin, the project’s machine learning lead. “That had not been done before, and machine learning helped us overcome that key technical challenge.”

This new understanding of the brain’s electrical system brings new potential for treatment in mice. More importantly, the research lays groundwork for future advances in human mental health. When scientists measure the relevant patterns in human brains, advanced machine learning could help them assess and treat depression.

Meanwhile, Carin’s company, Infinia ML, is already busy applying machine learning techniques to biological and medical breakthroughs from cancer detection to genetic screening.

“Machine learning offers new ways for us to understand our bodies and minds,” said Carin. “And the best part is, we’re just getting started.”

About Infinia ML

Infinia ML empowers companies to make smarter decisions and automate complex business processes by leveraging the latest breakthroughs in machine learning. Infinia ML has a team of leading AI researchers and deep learning experts that have published hundreds of peer-reviewed papers through top machine learning conferences and journals.

Backed by noted private equity firm Carrick Capital Partners, the Durham, North Carolina company is led by CEO Robbie Allen, an experienced AI entrepreneur, and Chief Scientist Lawrence Carin, Ph.D., the Duke University Vice Provost for Research and Professor of Electrical and Computer Engineering. Learn more.

Machine Learning Startup Adds More Duke University Talent

Hongteng Xu, Ph.D., Joins Infinia ML to Publish Cutting-Edge Research and Implement Machine Learning for Enterprise Clients


DURHAM, N.C.Feb. 13, 2018 /PRNewswire/ — Infinia ML, which helps businesses redefine the possibilities of human potential with advanced machine learning, today announced the hiring of Duke University postdoctoral researcher Hongteng Xu, Ph.D., to its data science team.

Xu is the sixth Infinia ML data scientist affiliated with Duke University. Co-founder and Chief Scientist Larry Carin, Ph.D., is Duke’s Vice Provost for Research and Professor of Electrical and Computer Engineering. Infinia ML data scientist Ricardo Henao is an Assistant Professor of Biostatistics and Bioinformatics at the university.

Hongteng Xu, Ph.D.

Xu will continue his academic research inside Infinia ML, developing the intellectual foundation for advanced business solutions. In addition, Xu will assist on select enterprise projects, helping some of the world’s biggest companies reduce costs, increase efficiency, and bring new breakthroughs to the market.

“I am excited to join Infinia ML for two reasons,” said Dr. Xu. “The first is the team’s unparalleled machine learning expertise. The second is the chance to apply my research, creating practical business solutions for the world’s toughest data challenges.”

Dr. Xu holds six patents and has been widely published in the field of machine learning. With his hiring, the Infinia ML team holds a combined total of 35 granted patents, six Ph.D.s, and over 500 published papers.

“In a field driven by academic focus and intellectual firepower, Dr. Xu is one of machine learning’s brightest rising stars,” said Carin, who is himself one of the world’s most-published ML researchers. “The work that Dr. Xu will publish through prominent journals and conferences will put Infinia ML on the front lines of industry innovation and business solutions.”

About Infinia ML

Infinia ML empowers companies to make smarter decisions and automate complex business processes by leveraging the latest breakthroughs in machine learning. Infinia ML has a team of leading AI researchers and deep learning experts that have published hundreds of peer-reviewed papers through top machine learning conferences and journals.

Backed by noted private equity firm Carrick Capital Partners, the Durham, North Carolina company is led by CEO Robbie Allen, an experienced AI entrepreneur, and Chief Scientist Lawrence Carin, Ph.D., the Duke University Vice Provost for Research and Professor of Electrical and Computer Engineering.

Infinia ML Chief Scientist Is Most Prolific Researcher At NIPS 2017

Lawrence Carin, Ph.D, is the most-published author at the Thirty-First Annual Conference on Neural Information Processing Systems (NIPS), with several papers co-authored by Infinia ML founding member Ricardo Henao


DURHAM, N.C.Dec. 4, 2017 — Infinia ML, an advanced machine learning company that delivers transformative automation solutions and predictive analytics to Fortune 500 businesses, announced today that the company’s chief scientist, Lawrence Carin, Ph.D., published ten papers at this year’s Annual Conference on Neural Information Processing Systems (NIPS). This makes Carin the most prolific researcher at the event, which brings together machine learning experts from institutions like Google, Microsoft, IBM, MITStanford, and Carnegie Mellon. In fact, Carin and his co-authors contributed more papers than AI-focused organizations such as Amazon, Tencent, and OpenAI. 

Carin’s papers help advance the field of machine learning by showing that deep learning has important applications across a large range of domains, with important new ideas presented in text analysis, image synthesis, and analysis of dynamic local field potentials in the brain.

“This body of work underscores our commitment to leading this field in cutting-edge research,” explained CEO Robbie Allen. “Lawrence is one of the most respected ML scientists in the world, and the team he brought to Infinia ML is unparalleled. Their research, covering areas including generative adversarial networks (GANs), deep learning, and neuroscience, is on display at NIPS this year, showing the exceptional capabilities of our growing team,” added Allen.

Carin’s work helps Duke University contribute a total of 14 papers, which is a comparable number of papers as IBM, Facebook, and Harvard. Infinia ML founding member Ricardo Henao co-authored four papers with Carin for NIPS.

“With only 21% of papers accepted this year at NIPS, publishing ten is a fantastic achievement and we are very proud to have Dr. Carin and Dr. Henao on our Infinia ML team,” said Mike Salvino, Executive Chairman of Infinia ML.  “The talent of the team and the published research allows us to quickly deliver business impact to our Fortune 100 clients, specifically helping them decrease costs or increase their revenue.”

About Infinia ML
Infinia ML empowers companies to make smarter decisions and automate complex business processes by leveraging the latest breakthroughs in machine learning. Infinia ML has a team of leading AI researchers and deep learning experts that have published hundreds of peer-reviewed papers through top machine learning conferences and journals. Backed by noted private equity firm Carrick Capital Partners, the Durham, North Carolina company is led by CEO Robbie Allen, an experienced AI entrepreneur, and Chief Scientist Lawrence Carin, Ph.D., the Duke University Vice Provost for Research and Professor of Electrical and Computer Engineering.