Our team recently enjoyed a soccer night out. After learning a few basics and enjoying some family fun, we cheered on the pros from the North Carolina Football Club on their way to a 4-2 win over Atlanta.
Check out the video, then scroll down for some photographic highlights, all made by NCFC. Thanks, y’all!
We’re pleased to announce that Infinia ML is SOC 2 Type I compliant.
The SOC (Service Organization Control) 2 audit process is a rigorous examination of policy, process, infrastructure, and people. The audit standards are defined by the American Institute of CPAs and executed by an external, independent auditor. SOC 2 is considered a core security standard for data confidentiality and information security.
As a company charged with handling sensitive data, we recognize that our work is built on trust. Customers can rest assured that Infinia ML is committed to maintaining a secure computing environment and providing services in a highly confidential manner.
Our SOC 2 compliance attestation is the first in a series of compliance objectives that include HIPAA, GDPR, and others.
Infinia ML is excited to demonstrate to our current and future clients that we are dedicated and faithful stewards of data confidentiality and security.
Infinia ML’s SOC 2 Type I attestation has been issued in the Security and Confidentiality Trusted Services Criteria.
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.
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.
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’ 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.
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.”
The 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.”
Publications Make Infinia’s Larry Carin a Leader at the World’s Most Prestigious Machine Learning Conferences
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.
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.
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.
“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.