Tag: Machine Learning
Bye-bye Juno, hello Julia for VS Code – IDE shifts form, reaches 1.0
With JuliaCon in full swing, Julia IDE Juno developer Sebastian Pfitzner took to the virtual stage to brief […]
PyTorch lights up version 1.6, follows competition down the profiling route
Just one day after TensorFlow hit version 2.3, Facebook’s challenger project PyTorch was updated to 1.6, sporting support […]
TensorFlow 2.3 aims for program ‘understanding’, resource economy
A good two months after its last big release, the TensorFlow team has bestowed version 2.3 upon followers […]
CUDA, woulda … did: Nvidia makes CUDA 11 generally available, mostly pushing its next-gen architecture
Developers who were excited by Nvidia’s May announcement of an upcoming CUDA release can finally hop over to […]
TensorFlow look to get more frugal with resources ahead of 2.3 release
Data scientists and machine learning types get a last chance for input in the upcoming 2.3 release of […]
Kudo(s) for Kubeflow: D2iQ preps machine learning platform for enterprise
D2iQ has emitted an enterprise-ready distribution of Kubeflow in the form of KUDO
Databricks hands MLflow to Linux Foundation, speeds up Delta Lake, and pushes pandas on Spark forward
Data science conference Spark+AI Summit is still in full swing. Organised by Spark experts Databricks, it naturally lent […]
What’s the point: DC/OS, OpenAI API, OpenNebula, and DataStax Vector
So much news, so little time – here’s a quick round-up of recent small but important updates in […]
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 […]
What’s the point: Google AI, JetBrains’ big data tools, Subversion, Docker <3 Azure
Google’s AI teams used the last days of May to share their advances in natural language generation evaluation […]