Outline of machine learning

Nextiles Launches Software Development Kit, Enabling All Industries to Access Novel Data Capture and Machine Learning Insights

Retrieved on: 
Tuesday, July 20, 2021

Industries such as sleep, sports and performance, and fitness are now able to partner with Nextiles to capture human movement data seamlessly via Bluetooth, and create proprietary machine learning algorithms to augment their own existing platforms.

Key Points: 
  • Industries such as sleep, sports and performance, and fitness are now able to partner with Nextiles to capture human movement data seamlessly via Bluetooth, and create proprietary machine learning algorithms to augment their own existing platforms.
  • Nextiles has developed smart thread technology to capture biometric and biomechanical data through flexible material and helps its partners build custom backends, which produce novel insights from manufactured soft goods.
  • By capturing these novel datasets, partners of Nextiles are able to build proprietary algorithms for each use case and personalize insights through machine learning.
  • Founded in 2018, Nextiles is an innovative materials science and manufacturing company, developing personalized, fabric-based sensors to capture biometric and biomechanics data.

Visionary Trio Creates Next Gen Video and Image Annotation Platform for Machine Learning

Retrieved on: 
Tuesday, June 29, 2021

PITTSBURGH, June 29, 2021 /PRNewswire/ -- Innotescus is announcing the launch of its image and video annotation platform.

Key Points: 
  • PITTSBURGH, June 29, 2021 /PRNewswire/ -- Innotescus is announcing the launch of its image and video annotation platform.
  • The Innotescus platform provides an intuitive annotation workspace, comprehensive analytics, and a collaborative environment for teams to produce superior quality training datasets.
  • Their work in multispectral image analysis laid the groundwork for their deep understanding of Computer Vision and Machine Learning development.
  • The Innotescus co-founders spent years building custom software to collect and analyze complex image data to train machine learning algorithms.

Visionary Trio Creates Next Gen Video and Image Annotation Platform for Machine Learning

Retrieved on: 
Tuesday, June 29, 2021

The Innotescus platform delivers high-performance annotation tools for image and video, bolstered by robust collaboration and analytics features, that significantly improve annotation speed and accuracy.

Key Points: 
  • The Innotescus platform delivers high-performance annotation tools for image and video, bolstered by robust collaboration and analytics features, that significantly improve annotation speed and accuracy.
  • PITTSBURGH, June 29, 2021 /PRNewswire/ -- Innotescus is announcing the launch of its image and video annotation platform.
  • Their work in multispectral image analysis laid the groundwork for their deep understanding of Computer Vision and Machine Learning development.
  • The Innotescus co-founders spent years building custom software to collect and analyze complex image data to train machine learning algorithms.

Deep Learning: Global Markets, 2020-2025 - ResearchAndMarkets.com

Retrieved on: 
Monday, June 21, 2021

The report provides an overview of the global market for deep learning and analyzes market trends.

Key Points: 
  • The report provides an overview of the global market for deep learning and analyzes market trends.
  • Deep learning, also known as deep machine learning (ML), deep structured learning, hierarchical learning, deep neural learning, and deep neural network, is a subset of ML.
  • Scientists are trying to apply deep learning technology to the analysis of radiography images for the accurate detection of the disease.
  • The report explores the competitive landscape and current trends in the deep learning market and concludes with an analysis of the deep learning vendor landscape and profiles of the major players in the global market.

Global Deep Learning Markets to 2025 - Increasing Demand for Big Data Analytics Due to Huge Unstructured Data Generation at End-Use Industry Sites

Retrieved on: 
Monday, June 21, 2021

DUBLIN, June 21, 2021 /PRNewswire/ -- The "Deep Learning: Global Markets" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • DUBLIN, June 21, 2021 /PRNewswire/ -- The "Deep Learning: Global Markets" report has been added to ResearchAndMarkets.com's offering.
  • The report provides an overview of the global market for deep learning and analyzes market trends.
  • Using 2019 as the base year, the report provides estimated market data for the forecast period of 2020 through 2025.
  • Deep learning, also known as deep machine learning (ML), deep structured learning, hierarchical learning, deep neural learning, and deep neural network, is a subset of ML.

Iterative Scopes Announces Partnership with Eli Lilly and Company to Advance AI Applications for Inflammatory Bowel Disease (IBD) Clinical Trials

Retrieved on: 
Thursday, February 11, 2021

CAMBRIDGE, Mass., Feb. 11, 2021 /PRNewswire/ -- Iterative Scopes, a leading Artificial Intelligence in Gastroenterology provider, today unveiled a partnership with Eli Lilly and Company.

Key Points: 
  • CAMBRIDGE, Mass., Feb. 11, 2021 /PRNewswire/ -- Iterative Scopes, a leading Artificial Intelligence in Gastroenterology provider, today unveiled a partnership with Eli Lilly and Company.
  • The initial focus of this collaboration is to work together to advance machine learning algorithms being developed by Iterative Scopes to improve upon current endoscopic clinical trial endpoint assessments, with the goal of advancing the use of AI applications for IBD clinical trials.
  • We are excited to take the first steps in this direction with Iterative Scopes," said Lotus Mallbris, VP Immunology Development at Lilly.
  • Spun out of MIT in 2017, the company has since raised $13M in funding and is based out of Cambridge, Massachusetts.

Independent Consulting Total Economic Impact™ Study Reveals 200% ROI for Organizations Using the Outlier Automated Business Analysis Platform

Retrieved on: 
Tuesday, January 12, 2021

The independent TEI study is based on customer interviews, data collection, and financial analysis of a brand using the Outlier ABA platform.

Key Points: 
  • The independent TEI study is based on customer interviews, data collection, and financial analysis of a brand using the Outlier ABA platform.
  • The independent TEI study by Forrester Consulting provides organizations with a framework to evaluate the real-world business impact of their investments.
  • For organizations looking at automated business analysis, the study clearly outlines the financial and work process benefits of choosing Outlier.
  • The Outlier automated business analysis platform uncovers unexpected patterns and relationships using advanced AI and machine learning algorithms.

ZebiAI Announces Appointment of Rafa Gomez-Bombarelli as Chief Learning Officer

Retrieved on: 
Tuesday, December 15, 2020

ZebiAI, Inc., a biotech company focused on improving human health by powering machine learning (ML) to source novel targets and discover new therapeutics, today announced the appointment of Rafa Gomez-Bombarelli, Ph.D., as Chief Learning Officer.

Key Points: 
  • ZebiAI, Inc., a biotech company focused on improving human health by powering machine learning (ML) to source novel targets and discover new therapeutics, today announced the appointment of Rafa Gomez-Bombarelli, Ph.D., as Chief Learning Officer.
  • A globally recognized expert in machine learning (ML)-driven molecular design, Dr. Gomez-Bombarelli will provide strategic oversight and guidance to drive continual internal innovation in ML at ZebiAI.
  • We are thrilled to welcome Rafa to ZebiAI, said Rick Wagner, Ph.D., founder and CEO of ZebiAI.
  • Rafa brings expertise in cutting-edge machine learning algorithms and will greatly augment our ability to help lead the field in ML-driven small molecule therapeutics.

Latest Release of TrialAssure ANONYMIZE for Documents Saves up to 80 Percent of Effort in PDF Document Anonymization and Redaction for Regulated Pharmaceutical Industry Documents

Retrieved on: 
Thursday, November 19, 2020

The impetus for document anonymization comes as increasing regulations from global health authorities and added pressure from advocacy groups push for the expanded utility of data for secondary research.

Key Points: 
  • The impetus for document anonymization comes as increasing regulations from global health authorities and added pressure from advocacy groups push for the expanded utility of data for secondary research.
  • Through machine learning and AI, TrialAssure ANONYMIZE for Documents uses NLP to extract information whenever text is transformed, and the system then feeds this data into powerful machine learning algorithms.
  • In doing so, ANONYMIZE for Documents improves over time in identifying where and how text should be replaced.
  • TrialAssure is a leading, global clinical trial disclosure and data transparency software suite with unmatched experience in helping navigate complex regulatory compliance challenges.

Machine Learning and Synthetic Biology used to Optimize a Cellular Factory for Industrially Relevant Products

Retrieved on: 
Monday, September 28, 2020

"By combining genome-scale modeling to pinpoint engineering targets, with efficient library construction of metabolic pathway designs, and high-throughput screening, we have trained diverse machine learning algorithms.

Key Points: 
  • "By combining genome-scale modeling to pinpoint engineering targets, with efficient library construction of metabolic pathway designs, and high-throughput screening, we have trained diverse machine learning algorithms.
  • In collaboration with the Berkeley Lab and TeselaGen, here at DTU we then used these machine learning models to generate new design recommendations.
  • The combination of machine learning, synthetic biology, and automation stands to revolutionize bioengineering and allow for applications we cannot even imagine now."
  • TeselaGen uses its proprietary Synthetic Evolution technology for efficient rapid prototyping and editing of recombinant molecules.