Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

By Pietro Antonio Ciclese, Senior Technical Marketing Engineer, Ambarella The workloads that generate the most commercial ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

Apple seeded the first Xcode 27 beta — build 27A5194q — to registered developers on June 8, 2026, immediately after the WWDC keynote, and the headline feature is one that competing tools cannot yet ...

How does artificial intelligence use tokens, and should we be worried that AI now has claws? Here's a quick primer on the vocabulary of today's inescapable technology.

Independently of Chen et al. (2026), this paper provides a more concise and elegant proof that GPTQ is equivalent to Babai's nearest plane algorithm, and clarifies the prospect of lattice basis ...

Quantization in neural network inference refers to the process of mapping high-precision parameters and activations to lower-precision representations, typically using integer or even binary values.

Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...