Reliant AI, a provider of gen AI-powered data analytics software, announced its launch out of stealth with $11.3 million in seed funding. The new capital was co-led by Tola Capital and Inovia Capital, with participation from angel investor Mike Volpi.
GenAI Analytics Provider, Reliant AI, Launches Out of Stealth with $11.3M In Seed Funding
August 26, 2024 by
Exascale Computing Project: Leveraging HPC and Neural Networks for Cancer Research
March 25, 2024 by
What happens when Department of Energy (DOE) researchers join forces with chemists and biologists at the National Cancer Institute (NCI). They use the most advanced high-performance computers to study cancer at the molecular, cellular and population levels.
Datasaur Launches LLM Lab for ChatGPT and Similar Models
November 2, 2023 by
Oct. 27, 2023 — Datasaur, a natural language processing (NLP) data-labeling platform, today launched LLM Lab, an interface designed for data scientists and engineers to build and train custom LLM models like ChatGPT. The product will provide a wide range of features for users to test different foundation models, connect to their own internal documents, […]
Kickstart Your Business to the Next Level with AI Inferencing
October 30, 2023 by
The need to accelerate AI initiatives is real and widespread across all industries. The ability to integrate and deploy AI inferencing with pre-trained models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.
Three Ways to Identify NLP Applications within a Business
July 11, 2023 by
In this contributed article, Domenic Puzio, Senior Machine Learning Engineer on the NLP Team at Kensho Technologies, discusses NLP, the branch of machine learning (ML) that focuses on training computers to understand written language, a skill that comes naturally to humans and has historically been very difficult for machines. This article examines a few ways to identify when NLP can be used to make these natural language workflows faster and more efficient.
How NLP Can Provide Deeper, Actionable Data Insights for All Healthcare Stakeholders
June 13, 2023 by
In this contributed article, Anoop Sarkar, PhD, Chief Technology Officer, emtelligent, discusses how providing clinicians with the most accurate and relevant information about a patient at the point of care requires a collaboration between AI-powered medical NLP and clinicians with deep medical knowledge. These collaborations will fulfill the promise of medical NLP.
The Science and Practical Applications of Word Embeddings
June 8, 2023 by
In this contributed article, editorial consultant Jelani Harper takes a look at how word embeddings are directly responsible for many of the exponential advancements natural language technologies have made over the past couple years. They’re foundational to the functionality of popular Large Language Models like ChatGPT and other GPT iterations. These mathematical representations also have undeniable implications for textual applications of Generative AI.
16-Year-Old Data Scientist Creates R Shiny App to Champion Gender Equality in Sports Media Coverage of NCAA Women’s Basketball
April 23, 2023 by
Nathaniel Yellin, a 16-year-old student, has concluded a new study that reveals the significant gender bias in the sports media coverage of female athletes and, in particular, college basketball players. Yellin has pursued his passions for sports, data science and inspiring change through the creation of an organization and interactive R Shiny application SIDELINED.
Implementing AI into Enterprise Search to Make It Smarter
February 6, 2023 by
In this sponsored post, our friends over at Sinequa share how the advent of AI, enterprise search has transformed into intelligent search, precisely as was envisaged. This has far-reaching consequences on customer experience and, by extension, return on investment (ROI) in all industries.
Deci delivers breakthrough inference performance on Intel’s 4th Gen Sapphire Rapids CPU
January 28, 2023 by
Deci, the deep learning company building the next generation of AI, announced a breakthrough performance on Intel’s newly released 4th Gen Intel® Xeon® Scalable processors, code-named Sapphire Rapids. By optimizing the AI models which run on Intel’s new hardware, Deci enables AI developers to achieve GPU-like inference performance on CPUs in production for both Computer Vision and Natural Language Processing (NLP) tasks.
