Google Uses AutoML to Discover More Efficient AI Training Algorithm

Google Uses AutoML to Discover More Efficient AI Training Algorithm

Researchers at Google have open-sourced EvoLved sIgn mOmeNtum (Lion), an optimization algorithm for training neural networks, which was discovered using an automated machine learning (AutoML) evolutionary algorithm. Models trained with Lion can achieve better accuracy on several benchmarks than models trained with other optimizers, while requiring fewer compute cycles to converge.

Java 20 Delivers Features for Projects Amber, Loom and Panama

Java 20 Delivers Features for Projects Amber, Loom and Loom

Oracle has released version 20 of the Java programming language and virtual machine with a final feature set that includes seven (7) JEPs. This release features JEPs that provide continued contribution toward Project Amber, Project Loom and Project Panama along with new rounds of preview and incubation.

HashiCorp Consul Improves Envoy Integration, Adds Debugging Tool

HashiCorp Consul Improves Envoy Integration, Adds Debugging Tool

HashiCorp has released Consul 1.15, adding new features that improve interacting with Envoy and troubleshooting issues within the service mesh platform. The release introduces improvements to Envoy access logging as well as adding in Consul Envoy extensions

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