Kahun, the evidence-based clinical AI engine for healthcare providers, shares the findings from a new study on the medical capabilities of readily-available large language models (LLMs). The study compared the medical accuracy of OpenAI’s GPT-4 and Anthropic’s Claude3-Opus to each other and human medical experts through questions based on objective medical knowledge drawn from Kahun’s Knowledge Graph.
New Study Puts Claude3 and GPT-4 up Against a Medical Knowledge Pressure Test
August 1, 2024 by Leave a Comment
Revolutionizing Manufacturing: The AI Impact
July 31, 2024 by Leave a Comment
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI is revolutionizing the manufacturing industry. This revolution promises to enhance efficiency, reduce costs, and improve overall product quality. We explore the multifaceted impact of AI on manufacturing and how it is reshaping the industry’s landscape.
Cohesity Bolsters Cyber Resilience with GenAI Capabilities
July 30, 2024 by Leave a Comment
Cohesity, a leader in AI-powered data security and management, today extended its first-mover advantage in GenAI detection and recovery capabilities with the addition of significant new enhancements to the Cohesity Data Cloud. These improvements allow customers to use Cohesity’s built-in AI capabilities to rapidly detect, investigate, and address potential threats within their environment, enabling them to restore operations far more quickly.
Couchbase Study: Financial Services Organizations Ramp Up for GenAI Despite Infrastructure Concerns
July 29, 2024 by Leave a Comment
Couchbase’s recent survey of 500 global IT leaders uncovered that while financial services organizations will increase IT modernization investment by a third (33%) in 2024, they still feel unprepared for growing data demands.
Infographic: Data Never Sleeps: AI Edition
July 29, 2024 by Leave a Comment
Our friends over at Domo (Nasdaq: DOMO) unveiled a special edition of its popular Data Never Sleeps (DNS) infographic, focused on the proliferation of artificial intelligence (AI). An extension of Domo’s award-winning annual DNS report, this AI Edition provides a deeper dive into the immense amount of AI data generated every minute and the impact this brings into our everyday lives.
New KNIME Release Helps Enterprises Scale GenAI While Reducing Risk
July 27, 2024 by Leave a Comment
KNIME, one of the leading open-source data science and AI companies, is announcing a new release to help enterprises securely scale their use of GenAI. The new GenAI features allow organizations to access more AI models, govern which AI models are being used by their data science teams, and ensure no leakage of sensitive data.
AI in Banking – How Artificial Intelligence is Used in Banks
July 26, 2024 by Leave a Comment
In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations. These days, AI is disrupting the entire banking sector in several ways.
Lack of Governance, Infrastructure Readiness, and IT Talent Leading to Enterprise GenAI Struggles: New Report
July 25, 2024 by Leave a Comment
Despite growing interest and enthusiasm for Generative AI (GenAI), significant challenges are emerging that threaten the success of GenAI projects, according to a co-sponsored research report from Enterprise Strategy Group (ESG) and Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501).
MIT News: How to Assess a General-purpose AI Model’s Reliability Before It’s Deployed
July 24, 2024 by Leave a Comment
Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models before they are deployed to a specific task. They do this by considering a set of foundation models that are slightly different from one another. Then they use their algorithm to assess the consistency of the representations each model learns about the same test data point. If the representations are consistent, it means the model is reliable.
SandboxAQ Helps Unlock the Next Generation of AI-Driven Chemistry with NVIDIA Technology
July 23, 2024 by Leave a Comment
SandboxAQ announced today a groundbreaking advancement that pushes the limits of computational chemistry, impacting fields such as biopharma, chemicals, materials science and other industries. Collaborating with NVIDIA, SandboxAQ leverages Large Quantitative Models (LQMs) and the NVIDIA CUDA-accelerated Density Matrix Renormalization Group (DMRG) algorithm.
