More than 150 techies packed the house at a Claude Code meetup event in Seattle on Thursday evening, eager to trade use cases ...

Not all platforms support the same features. For instance Tensor Cores acceleration isn't supported on WebGPU yet. Using an instruction that isn't available on a ...

700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; It also supports java8 ~ java25, native runtime.

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

Abstract: Artificial neural networks have led to a higher computational burden, complicating inference tasks on low-power edge devices. Spiking neural network (SNN), which leverages sparse spikes for ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Abstract: In this work, we propose a high-density energy-efficient compute-in-memory (CiM) macro design for edged AI applications based on long retention 2T0C eDRAM cells using oxide semiconductor ...

What if the key to unlocking unparalleled efficiency in your development workflow was hiding in plain sight? Better Stack outlines how a seemingly quirky plugin, born from a bash loop and named after ...

Applied Digital is in the right place at the right time as AI spending ramps up. Its ability to achieve projects on time and on budget may help it win over the trust of big tech companies. A single ...

Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...

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