The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.
While the current AI boom was sparked by the launch of OpenAI’s ChatGPT in late 2022, it wasn’t until late 2024 that its true ...
NTT, Inc. used its recent NTT R&D Forum in Tokyo to detail a new AI technology called the Large Action Model (LAM).
In today’s fast-paced digital economy, the ability to adapt to changing market demands and withstand unexpected disruptions ...
SAS tackles data scarcity with novel synthetic data generator that elevates AI across industries CARY, N.C., Nov. 24, 2025 /PRNewswire/ -- SAS Data Maker -- a secure, enterprise-grade synthetic data ...
Colleges and universities can leapfrog from personalized to N-of-1 precision learning by modernizing their data architecture, building dynamic learner ...
Ian Ruffle, head of data and insight at the RAC, says the key to exploiting data assets is twofold – understanding the ...
Regtechtimes on MSN
The Hidden Variable in AI Success: Why Data Quality Trumps Model Size
The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...
Artificial Intelligence (AI) is evolving at a pace that has become difficult for many organizations to track. New foundation ...
When a business fails to get off the ground, most people assume that it''s because of a lack of vision. But technology ...
This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...
For the last few years, most of the progress in AI has been tied to size. Bigger models, bigger datasets, bigger everything.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results