Microsoft's DeBERTa model for natural language understanding has outperformed humans in SuperGLUE benchmarks, defeating Google's model which just set the previous record a couple of days ago too.
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The firm has introduced a new production use case for early drug discovery, utilizing the PyTorch framework alongside Microsoft's Azure Machine Learning to support the latest research.
OpenAI has exclusively licensed the largest transformer model to date—GPT-3—to Microsoft. The latter will use GPT-3's NLG and NLP capabilities in building AI solutions for its customers.
By combing through troves of blogs, documents, and reviews, Trade Assistant with IBM Watson is designed to help you make more informed and unbiased decisions in ESPN Fantasy Football League.
Language-agnostic BERT Sentence Embedding (LaBSE), is a multilingual BERT embedding model that supports language-agnostic cross-lingual sentence embeddings for 109 languages by combining MLM and TLM.
CIMON-2, the AI-powered assistant onboard the International Space Station has successfully completed its initial testing, showing the ability to respond to a variety of tasks communicated verbally.
Boasting over 17 billion parameters and 78 transformer layers, Microsoft's new Turing Natural Language Generation model outperforms many state-of-the-art models available currently.
Researchers at MIT have created a framework—TextFooler—that brought down the prediction accuracy of certain NLP models from 90% down to under 20% by simply using synonyms in place of certain words.
Huawei claims that the Ascend 910 has more computing power than any other AI processor in the world. MindSpore is an AI computing framework announced alongside the aforementioned processor.
The company's immensely powerful DGX SuperPOD trains BERT-Large in a record-breaking 53 minutes and trains GPT-2 8B, the world's largest transformer-based network, with 8.3 billion parameters.
Microsoft has created a new AI bot which apparently draws whatever it is told to. The company believes that the techniques used for text-to-image generation produce an image of a much higher quality.
Microsoft has developed an AI that can comprehend documents and answer questions about them with almost human-level accuracy. Its findings are already being integrated with the Bing search engine.
