Top news of the week: 21.05.2020.
Neural network, Learning, Mathematics, Maxima and minima, Electrical engineering, Machine learning
Research
A highly efficient, real-time text-to-speech system deployed on CPUs
Text-to-speech systems across the industry typically rely on GPUs or specialized hardware to generate state-of-the-art speech in real-time production. We solved core efficiency challenges ...
RT @MathWorks: See how MathWorks is partnering with @MSFTResearch to help engineers develop autonomous systems https://t.co/HSOGezwRDZ #engineering #AI #artificialintelligence https://t.co/DiC6OruNVD
OpenBuilding Autonomous Systems with Simulink and Microsoft’s Project Bonsai
Below is a guest post from Aditya Baru, product marketing manager for our AI product group. He will be talking about a new partnership between MathWorks and Microsoft. I’m glad to ...
RT @NYUDataScience: We’re excited to announce the launch of our new blog series “Meet the Researcher”. First featured is our CDS Moore-Sloan Fellow, Elena Sizikova. Read more on our blog: https://t.co/PRvNRv4C8p https://t.co/MPUePWWQLt
OpenNYU Center for Data Science, Meet the Researcher: Elena Sizikova
Meet Elena Sizikova. Before joining CDS as a Moore-Sloan Data Science Fellow, she acquired her PhD from the Graphics/Vision Lab in…
RT @GoogleHealth: Our research collaboration with @Moorfields & @DeepMind, published in @NatureMedicine, shows how our AI system could help predict the development age-related macular degeneration. Our system performed as well as, & in some cases better than, experts. https://t.co/MCAq1LMYKj
OpenHow AI could predict sight-threatening eye conditions
Google Health, DeepMind and Moorfields’ AI system can predict the development of wet AMD to a higher standard than leading eye doctors.
RT @stevenhoi: Excited to introduce our Prototypical Contrastive Learning (PCL): unifies clustering and contrastive learning to push the frontiers of unsupervised learning.
Blog: https://t.co/pmLhsRMu4P
Paper: https://t.co/FVqfcgz0hd
@SFResearch @LiJunnan0409 @CaimingXiong @RichardSocher https://t.co/ZCkqJIH3MQ
OpenPrototypical Contrastive Learning: Pushing the Frontiers of Unsupervised Learning
Prototypical Contrastive Learning unifies clustering and contrastive self-supervised learning to push the frontiers of unsupervised learning.
Take the mystery out of machine learning.
For developers, model interpretability can help build confidence and trust in model predictions.
Learn more about what this means for huskies, wolves, and scammers: https://t.co/6aX0L1Bfru #MSBuild 🐺
OpenMicrosoft responsible machine learning capabilities build trust in AI systems, developers say
Microsoft announces advances in responsible machine learning that can help developers understand, protect and control their models throughout the machine learning lifecycle.
[D] Would a perfect Optimization Oracle (optimization algorithm guaranteed to find the global optimism in polynomial time) solve any problems in Machine Learning? https://t.co/VZGPjA1dUd
Open[D] Would a perfect Optimization Oracle (optimization algorithm guaranteed to find the global optimism in polynomial time) solve any problems in Machine Learning?
![[D] Would a perfect Optimization Oracle (optimization algorithm guaranteed to find the global optimism in polynomial time) solve any problems in Machine Learning?](https://external-preview.redd.it/ltc8QGLvdxGstaOsImic2kYtL2xDXqHlEB6XgTJWqc0.jpg?width=640&height=334&crop=smart&auto=webp&s=2c97379a8ecce4cfcf196c806c980eec06c95a6e)
4 votes and 2 comments so far on Reddit
RT @huggingface: Happy to announce we partenered with @onnxai @onnxruntime @microsoft to make state-of-the-art inference up to 5x faster 🚀. NLP for every people and organizations! #msbuild https://t.co/VKSts08Cvp
OpenAccelerate your NLP pipelines using Hugging Face Transformers and ONNX Runtime
This post was written by Morgan Funtowicz from Hugging Face and Tianlei Wu from Microsoft