In partnership with Good morning. It’s Wednesday, October fifteenth.On this present day in tech history: In 1979a gaggle at MIT’s Architecture Machine Group logged a test of their “Put-That-There” multimodal interface...
, handling streaming data was considered an approach. Because the introduction of relational database management systems within the Seventies and traditional data warehousing systems within the late Eighties, all data workloads began and ended with...
There was a time when volumetric effects were concealed from everyone on a movie stage except the VFX supervisors huddled around grainy, low-resolution preview monitors. You may shoot a posh scene with enveloping fog...
Good morning. It’s Friday, May ninth.On at the present time in tech history: 1949: The EDSAC (Electronic Delay Storage Automatic Calculator) executed its first calculation on the University of Cambridge. Chrome’s On-Device...
Artificial Intelligence (AI) is transforming industries, and businesses are racing to learn from its power. Nevertheless, the challenge is in balancing its progressive capabilities with the demand for speed, efficiency, and cost-effectiveness. Google’s Gemini...
In a serious leap for edge AI processing, NTT Corporation has announced a groundbreaking AI inference chip that may process real-time 4K video at 30 frames per second—using lower than 20 watts of power....
For years, search engines like google and yahoo and databases relied on essential keyword matching, often resulting in fragmented and context-lacking results. The introduction of generative AI and the emergence of Retrieval-Augmented Generation (RAG)...
A model has emerged showing that accessing a real-time database is simpler than increasing pre-training parameters to extend the accuracy of artificial intelligence (AI) models. For this purpose, ‘Graph Search Augmented Generation (GraphRAG)’ was...