Infinia ML Recognized for Innovation in Machine Learning with Two Awards

Company Wins “Best Machine Learning Company” Award for Second Consecutive Year and “Most Innovative Machine Learning Solutions Provider for Business”

DURHAM, N.C., June 26, 2019 — Infinia ML, an advanced machine learning company, has won two machine learning honors for 2019: the Acquisition International Global Excellence Award for Most Innovative Machine Learning Solutions Provider for Business as well as the AI Breakthrough Award for Best Machine Learning Company, which the company also won in 2018.

“Infinia ML combines a focus on business value with a passion for cutting-edge research, practical development, and real-world deployment. We take a holistic approach focused on delivering business impact,” said Robbie Allen, CEO of Infinia ML. “We are grateful to receive these honors for our work in machine learning, and thankful to our clients for making our work possible.”

The AI Breakthrough Awards 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.

“Infinia ML’s team represents some of the world’s most renowned machine learning experts. They continue to drive value for their customers and also advance the overall machine learning market,” said James Johnson, Managing Director at AI Breakthrough. “We are thrilled to recognize Infinia ML in this year’s award program and congratulate the team on their well-deserved back-to-back AI Breakthrough Awards,” he added.

The Global Excellence Awards from Acquisitions International Magazine showcase the companies and individuals committed to innovation, business growth, and providing the very best products and services to clients across a wide range of industries. Awards are judged purely on merit by an in-house team with all potential winners assessed against multiple relevant criteria, including company performance over a given period of time, expertise within the industry, sector or region, previous accolades won, and client testimonials or recommendations.

“Infinia ML have this year been recognized on an international level in our 2019 Global Excellence Awards, owing to their continued distinction in providing outstanding end-to-end machine learning solutions to a variety of businesses,” said Features Executive Chelsea Dytham. “Clients can rest assured that Infinia ML will be a reliable partner in the automation of business processes, truly proving themselves to be leaders in their field and demonstrating a continued commitment to innovation within the AI and Deep Learning industry.”

Infinia ML Team Publishes Six Papers at 2019 International Conference on Machine Learning

Chief Scientist Larry Carin and Data Scientist Jun Liu

 

DURHAM, N.C., June 10, 2019  — Infinia ML, an advanced machine learning company, announced today that members of its data science team collectively published six papers at the Thirty-sixth International Conference on Machine Learning, which takes place this week in Long Beach, California.

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. This year the conference accepted 774 papers, just 22.6% of the total submitted.

“Having three members of the Infinia ML team contribute six papers to ICML sets us apart from others of our size and stage,” said Infinia ML CEO Robbie Allen. “The accomplishments of our data scientists at ICML further prove that we can address the most advanced data challenges.”

Infinia ML Chief Scientist Larry Carin, one of the world’s most widely published machine learning researchers, is a co-author on five papers, covering topics from reinforcement learning to generative adversarial networks. Infinia ML Research Scientist Hongteng Xu is the lead author on a paper about a joint learning framework for graph matching and node embedding problems, which Carin also co-authored. Infinia ML Data Scientist Jun Liu co-authored a sixth paper on non-negative matrix factorization, a tool widely used in machine learning and data mining.

“We’re continuing to build an academic foundation that will help move the business world forward,” said Carin. “The best part is that the application of machine learning to business is just getting started.”

Research Scientist Hongteng Xu

About Infinia ML

Infinia ML provides the people, process, and technology to automate business challenges with data science. Serving industries from manufacturing and healthcare to marketing and human resources, the company’s capabilities include natural language processing, object detection, and behavior prediction.

The Durham, N.C. company is led by Chief Executive Officer Robbie Allen, an experienced AI entrepreneur; Chief Scientist Lawrence Carin, Ph.D., one of the world’s most published machine learning experts; and Duke University’s Vice Provost for Research and Executive Chairman and Carrick Capital Partners Managing Director Mike Salvino. Together, the Infinia ML team has 31 patents, 11 books, 10 Ph.D.s and more than 600 published papers. Learn more at InfiniaML.com.

AI CEOs on China, Jobs, & Explainable AI

At the recent CED Tech Conference, CEO Robbie Allen joined Diveplane CEO Mike Capps for a free-spirited discussion/debate about artificial intelligence. Topics included:

  • Explainable AI
  • AI competition with China
  • Working with the US military
  • We’re still in the early days for machine learning and AI.
  • Machine learning’s impact on jobs
  • Building an AI/ML company in North Carolina

VIDEO: Best Practices for Deploying Machine Learning in the Enterprise

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.

PHOTOS: Machine Learning Symposium Brings Technology Leaders to Chapel Hill

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.

Below are some of the day’s highlights, photographed by the Kenan Institute’s Steven Rubin. You can see more photos here and access complete speaker presentation decks from here.

IBM’s Jesus Mantas on “Machine Learning Transformation in Large Organizations”

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Infinia ML Increases Research Contributions to NeurIPS, the World’s Top Machine Learning Conference

Infinia ML Chief Scientist Larry Carin Raises NeurIPS/NIPS Research Contributions to 44 Papers Since 2004

Infinia ML Research Scientist Hongteng Xu.

 

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.