In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
How We Use Synthetic Data to Improve Performance and Break Away from Dataset Constraints
March 25, 2023 by Leave a Comment
O’Reilly 2023 Tech Trends Report Reveals Growing Interest in Artificial Intelligence Topics, Driven by Generative AI Advancement
March 24, 2023 by Leave a Comment
O’Reilly, a premier source for insight-driven learning on technology and business, announced the findings of its annual Technology Trends for 2023 report, which examines the most sought-after technology topics consumed by the 2.8 million users on O’Reilly’s online learning platform.
NVIDIA Brings Generative AI to World’s Enterprises With Cloud Services for Creating Large Language and Visual Models
March 23, 2023 by Leave a Comment
To accelerate enterprise adoption of generative AI, NVIDIA announced a set of cloud services that enable businesses to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data and created for their unique domain-specific tasks.
NVIDIA Hopper GPUs Expand Reach as Demand for AI Grows
March 21, 2023 by Leave a Comment
NVIDIA and key partners today announced the availability of new products and services featuring the NVIDIA H100 Tensor Core GPU — the powerful GPU for AI — to address rapidly growing demand for generative AI training and inference.
Unlocking Hidden Value From Production Line Data
March 20, 2023 by Leave a Comment
In this contributed article, Dr Richard Parmee, founder and CEO of Sapphire Inspection Systems, highlights how the increased connectivity of devices and data analysis tools is now making it possible to unlock hidden value from production-line data. He explains how the real-time insights from end-of-line inspection equipment can be used to optimize processes.
Heard on the Street – 3/20/2023
March 20, 2023 by Leave a Comment
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Video Highlights: GPT-4 Developer Livestream
March 17, 2023 by Leave a Comment
Here is Greg Brockman, President and Co-Founder of OpenAI, for a March 14, 2023 developer demo showcasing GPT-4 and some of its capabilities/limitations. Included are a number of very compelling new use case capabilities over the previous GPT-3.5 version.
Don’t overlook independence in Responsible AI
March 17, 2023 by 1 Comment
In this contributed article, Dr Stuart Battersby, Chief Technology Officer of Chatterbox Labs, has the aim to raise awareness of a key issue in the field of Responsible AI (aka Ethical AI or Trustworthy AI), and that is the issue of independence.
How to Fix Blockchain’s Missing Link to Cross the Data Chasm
March 16, 2023 by Leave a Comment
In this contributed article, Toby Mills, CEO of Entopy, looks at the trend for organizations to turn to technologies such as artificial intelligence and blockchain in an attempt to find a ‘silver bullet’ to unlock the next wave of business transformation. But unless the right data is gathered in the first place – and harnessed […]
Research Highlights: Real or Fake Text? We Can Learn to Spot the Difference
March 16, 2023 by Leave a Comment
A team of researchers at the University of Pennsylvania School of Engineering and Applied Science is seeking to empower tech users to mitigate risks of AI generated misinformation. In a peer-reviewed paper presented at the February 2023 meeting of the Association for the Advancement of Artificial Intelligence, the authors demonstrate that people can learn to spot the difference between machine-generated and human-written text.
