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Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
MLOps and data centricity
Selecting what hardware to run AI workloads on can be thought of as part of the end-to-end process of AI model development and deployment, called MLOps — the art and science of bringing machine learning to production. To draw the connection with AI chips, standards and projects such as ONNX and Apache TVM can help bridge the gap and alleviate the tedious process of machine learning model deployment on various targets.
What we see as the most profound shift, however, is the emphasis on so-called data-centric AI.
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Large language models, multimodal models, and hybrid AI
Large language models (LLMs) may not be the first thing that comes to mind when discussing applied AI. However, people in the know believe that LLMs can internalize basic forms of language, whether it’s biology, chemistry, or human language, and we’re about to see unusual applica...
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Applied AI in health care and manufacturing
O’Reilly’s AI Adoption in the Enterprise 2021 survey cites technology and financial services as the two domains leading AI adoption.
As for manufacturing, there are a few reasons why we choose to highlight it among the many domains trailing in AI adoption. First, it suffers a labour shor...
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AI chips
So-called AI chips, a new generation of hardware designed to optimally run AI-related workloads, are seeing explosive growth and innovation. Cloud mainstays such as Google and Amazon are building new AI chips for their datacenters — TPU and Trainium, respectively. Nvidia has been...
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Big Data
- There is an explosion of valuable digital data generated by consumers as we live our daily lives.
- Advances in technology such as AI, Machine Learning and Cloud Computing provide numerous ways to leverage the data.
- Apart from having Big Data, companies need to have an analytic...
Mindfulness And Our Brains
Meditation or mindfulness is not a uniform, unchanging process, but a highly subjective one, having unique effects on different individuals.
New experiments using machine learning dive deep into the brain, breath and body states during the various stages of meditation, hel...
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