Travis Arnold recently presented how JSX and compiler technologies can be used conjointly to make the handoff between designers and developers more efficient. While the ideas presented are not yet imp
Stanford Publishes AI Index 2021 Annual Report
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Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI) has published its 2021 AI Index annual report. This underlying data for this year s report has been expanded compared to the previous year s, and the report includes several perspectives on the COVID-19 pandemic s impact on AI research and development.
To improve the latest report, over the last year the Institute requested feedback from over 140 members of academia, government, and industry. In response, the new report contains more data and analysis on technical performance, diversity, and ethics. The final report contains seven chapters, and the report summary distills nine key takeaways. In particular, AI applications for molecular biology and drug discovery received the most private investment, in part due to the pandemic. The pandemic also caused many AI conferences to switch to a virtual format, resulting in an increased participa
Amazon Lookout for Vision Now Generally Available
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Source: https://www.amazon.science/latest-news/how-a-think-big-idea-helped-bring-lookout-for-vision-to-life
The new service provides different features to automate quality inspection, detect damages to parts, identify missing components or track repeating patterns to uncover process issues. In the training phase, images that show normal and defective products from the production line are collected and loaded into Amazon Lookout, labelling as normal or anomalous to build a model.
The detecting phase involves visual inspection processes real-time or in-batch to monitor the process line, identifying anomalies like dents, cracks and scratches and receiving notifications when defects are detected. Further iterations, providing feedback on the identified product defects, will make continuous improvements to the service.
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During the recent virtual Ignite conference, Microsoft announced Microsoft Mesh, an Azure-based cloud platform allowing developers to build immersive, multiuser, cross-platform mixed reality apps. Furthermore, customers can leverage Mesh to enhance virtual meetings, conduct virtual design sessions, assist remote work better, learn together virtually, host virtual social gatherings and meet-ups.
After PCs, the internet, and smartphones, customers are now experiencing virtual, augmented, and mixed reality as the fourth wave in computing. And many of the fortune 500 companies have deployed HoloLens and other Mixed Reality (MR) solutions. Yet, they have faced problems such as bringing high-fidelity 3D models into MR to support the file formats they have or the substantial time and resources necessary to have people represented naturally in MR. Microsoft tries to solve that with Mesh to provide a platform for developers to design immersive multiuser MR apps without worrying about com
Researchers at Google Brain have open-sourced the Switch Transformer, a natural-language processing (NLP) AI model. The model scales up to 1.6T parameters and improves training time up to 7x compared