Browsing Tag

harnessing AI

DataForce Expands Offerings to Support AI-Powered Pathology Detection

PR Newswire Sep 29, 2023

TransPerfect's AI Data Solutions Division Enhances Capabilities in Life Sciences DataForce, TransPerfect's AI data solutions division announced its…

Natural Language

Deci Releases Powerful Open-Source Generative AI Model, DeciCoder, to Redefine Code Generation for…

PR Newswire Aug 28, 2023

Deci, the deep learning company harnessing AI to build AI released DeciCoder, its inaugural foundation model in generative AI helping users generate…

Machine Learning

LeanTaaS Announces iQueue Autopilot, First Ever Generative AI Hospital Operations Solution

AIT News Desk Jun 8, 2023

LeanTaaS’ unique combination of award-winning AI, the largest hospital operations dataset, and 100+ team of change management experts will deliver a…

Machine Learning

Fobi AI Granted USA Patent for Its IoT Hardware

GlobeNewswire Mar 22, 2023

Patent claims granted include crypto processing methods, digital receipt storage, and universal loyalty rewards programs. Fobi AI, an industry leader…

Machine Learning

Deci Launches New Version of its Deep Learning Platform, Supporting Generative AI Model Optimization

PR Newswire Feb 25, 2023

Deci, the deep learning company harnessing AI to build AI, released a new version of its deep learning platform, helping developers further simplify…

Machine Learning

Fobi Signs $120,000 PulseIR Deal With Turnium Technology Group

AIT News Desk Feb 9, 2023

Turnium signing represents third PulseIR deal in last ten days since commercial launch, showing significant momentum for Fobi’s data-driven IR…

Machine Learning

Fobi Signs New PulseIR Deal with Empower Clinics

AIT News Desk Feb 2, 2023

Fobi AI, an industry leader in harnessing AI and data intelligence to enable digital transformation, is pleased to announce that the company’s…

Computing

Deci DeciNets Image Classification Models Break Efficient Frontier

AIT News Desk Jul 16, 2021

Deci’s AutoNAC technology generated DeciNets using roughly two orders of magnitude less computing power companies such as Google needed to find…