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Can’t see the forest for the trees? Alibi Explain adds more models for better machine learning understanding

Machine learning teams in search of model explanations can now give the newly released Alibi Explain 0.5 a […]

Open source AI collab project ONNX turns 1.7, takes first steps towards multi-framework training

Open machine learning model representation ONNX has hit version 1.7, previewing training support, and including additional operators as […]

TensorFlow 2.2 kicks Python 2 to the curb, adds new profiler and tf.distribute improvements

Machine learning platform TensorFlow has added a new profiler to its project and looked into ways of improving […]

What’s the point: Redis 6.0, IBM Elyra, a cure for Java pains, Facebook Blender, and VS Codespaces

Work on version 6.0 of in-memory data structure store Redis is done. The new release is now available […]

What’s the point: Google AI advances, Git security updates, and API gateway Gloo

Google’s AI teams used the comparatively quiet post-easter days to get ML practitioners up to speed with their […]

Nothing to hide? Then add these to your ML repo, Papers with Code says

In a bid to make advancements in machine learning more reproducible, ML resource and Facebook AI Research (FAIR) […]

Google combines spreadsheets and AI for more bot experiments

To give more people a chance to play with natural language understanding, Google AI Hub has introduced Semantic […]

Google AI plants SEED for better scalable reinforcement learning

Google AI researchers have looked into ways of making reinforcement learning scale better and improve computational efficiency. The […]

Google Cloud introduces pipelines for those beyond ML prototyping

The Google Cloud team just celebrated the beta launch of its AI Platform Pipelines feature with a couple […]

Google throws Quantum of ML into next TensorFlow project

The TensorFlow project just gained another sub-project. And this time, it’s all about quantum machine learning. TensorFlow Quantum […]