Unstructured data refers to information that does not have a predefined data model or organized format, making it more ...
Training data refers to the dataset used to teach machine learning (ML) and artificial intelligence (AI) models. It provides ...
Biological systems, once thought too chaotic for quantum effects, may be quietly leveraging quantum mechanics to process ...
Upgrading technology keeps companies at the forefront of innovation, giving them the flexibility to invest in AI applications ...
Each research grant which is meant for young researchers no older than 42 years of age provides up to 60 lakhs plus overheads ...
AI agents develop their own communication channels beyond our monitoring frameworks, we face a pivotal challenge: harnessing ...
The hyperscalers are reeling from the slower-than-expected growth of generative AI on their platforms, and many are now ...
Traditional Chinese medicine is undergoing a revolution with the increasing exploration of artificial intelligence to enhance ...
A world computer needs a memory that’s not just decentralized but also efficient, scalable, and reliable. We can build it ...
Nvidia stock's meteoric rise hit a roadblock this year as investors weighed the consequences of tariffs on chip demand, in addition to increasing competition and other risks. The stock was down 19% in ...
Fragmented stacks, real-time demands and privacy constraints are rewriting the rules of unified data strategy.
In the context of human activity recognition and localisation, CSI is particularly useful because it enables non-intrusive ...
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