Top news of the week: 06.08.2020.
Health care, Information retrieval, Artificial intelligence, QuickTime, Natural language generation, Electrical engineering
Research
RT @ForbesTech: 3 ways artificial intelligence will change healthcare By @KonstantineBuhl https://t.co/7aVRU3bC4H
Open3 Ways Artificial Intelligence Will Change Healthcare
For most medical professionals, artificial intelligence (AI) will be an accelerant and enabler, not a threat. It would be good business for AI companies as well to help, rather than attempt ...
Join Ozan Oktay today around 10:40 AM PT to hear more about Microsoft Research's Inner Eye project. Watch the live stream here: https://t.co/5ZOTXOPaiB #AIMI20
Full agenda: https://t.co/umIU9z0VJP https://t.co/D0y886aq7T
OpenAgenda
August 5, 2020 at 8:30am-4:30pm PDT8:30am Welcome and OverviewMatthew Lungren - Associate Professor of Radiology, Co-Director, Center for Artificial Intelligence in Medicine and Imaging, ...
RT @confluentinc: Tencent PCG uses @apachekafka to transfer 4 million messages/second for a single product. Learn how they scale their real-time data pipeline using federated Kafka clusters to handle this peak workload with low latency, a high SLA, and flexibility: https://t.co/BVaPh5QtpI https://t.co/U9KoAvjTsP
OpenHow Tencent PCG Uses Apache Kafka to Handle 10 Trillion+ Messages Per Day
Learn how Tencent uses Apache Kafka as a gigantic, real-time, multi-tenant pub/sub system to process hundreds of Gb/s of data and 10 trillion+ messages per day.
Syntiant raises $35 million for AI speech-processing edge chips https://t.co/0q0aM0ayVd via @VentureBeat
OpenSyntiant raises $35 million for AI speech-processing edge chips
Syntiant, a startup developing AI and machine learning edge hardware for voice processing, has raised $35 million in venture capital.
Dr. Olga Russakovsky
Dr. Olga Russakovsky is an Assistant Professor of Computer Science at Princeton University. She is one of the leaders of the ImageNet Large Scale Visual Recognition Challenge, and has been ...
Microsoft researchers are helping to advance ML in such areas as accessibility and healthcare. If you missed it, check out their contributions to #ICML2020, including Transformer-based RL agents and causal learning for increased utility and privacy: https://t.co/N9AOI2Jo1R
OpenICML 2020 highlights: A Transformer-based RL agent, causal ML for increased privacy, and more
With over 50 papers from Microsoft accepted at this year’s International Conference on Machine Learning (ICML 2020), a number of which were presented in virtual workshops, Microsoft ...
Domain-specific pretraining of language models helps, at least in highly specific domains such as biomedical: https://t.co/QyUAmTVcnL
OpenMicrosoft researchers claim ‘state-of-the-art’ biomedical NLP model
Microsoft researchers propose a new training technique that achieves state-of-the-art performance in natural language processing biomedical tasks.
RT @HamelHusain: 😍This blog post manages to combine all my favorite things:😍
- @ProjectJupyter
- @fastdotai fastpages
- #MLOps
- @github Apps
- Tools for OSS maintainers
- @kubeflow
- GitOps
- A good meme
Fav phrase: 😱“There are no Dags”
https://t.co/tuUF0ExLvd
OpenData Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes
An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow.