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MRO spare parts optimization

IBM Journey to AI blog

trillion, up from USD 864 billion in 2019 to 2020. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Do you have purpose-built algorithms to improve intermittent and variable demand forecasting?

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When AI Meets User Experience: Challenges Linger, Opportunities Shine Ever Brighter

Unite.AI

The World Economic Forum projects that from 2020 to 2025, the evolution of AI will lead to the disruption of 85 million jobs worldwide, while also generating 97 million new job opportunities. Up until now, their attention has been diverted from exploring things they would have liked to do in favor of tasks that must be completed.

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Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations

Flipboard

We retrospectively collected data on patients’ underlying diseases, blood coagulation tests, procedures, and medications before neurological symptom onset from 206 patients at the Chungbuk National University Hospital ICU (July 2020–July 2022) and 45 patients at Chungnam National University Hospital between (July 2020–March 2023).

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GenAI: How to Synthesize Data 1000x Faster with Better Results and Lower Costs

ODSC - Open Data Science

Then, how to essentially eliminate training, thus speeding up algorithms by several orders of magnitude? It easily handles a mix of categorical, ordinal, and continuous features. Yet, I haven’t seen a practical implementation tested on real data in dimensions higher than 3, combining both numerical and categorical features.

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Satellite Data, Bushfires and AI: Safeguarding Wine Industry Amidst Climate Challenges

Towards AI

Detecting drought in January 2020 (on the left) using the EVI vegetation index Yellow means very healthy vegetation while dark green means unhealthy. Given the scarcity of labeled data, an unsupervised approach is adopted to categorize similar agricultural fields based on their EVI and basic spectral bands.

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German startup Kern AI nabs seed funding for modular NLP development platform

Flipboard

To create NLP models, developers need not only algorithms, but bucketloads of quality training data that is accurately “labelled,” a technique that categorizes raw data to enable machines to understand and learn from it. million ($2.9 million ($2.9

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Getting Started with AI

Towards AI

In ML, there are a variety of algorithms that can help solve problems. In graduate school, a course in AI will usually have a quick review of the core ML concepts (covered in a previous course) and then cover searching algorithms, game theory, Bayesian Networks, Markov Decision Processes (MDP), reinforcement learning, and more.