This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
Abstract: Photonic compressive sensing (PCS), a paradigm for broadband sparse radio frequency (RF) signal acquisition, is recognized for its ability to significantly reduce sampling rate. However, ...
Latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...
Abstract: Variable-rate coding is challenging but indispensable for learned image compression (LIC) that is in nature characterized by nonlinear transform coding (NTC). Existing methods for ...
This study introduces a Hybrid Bimodal Model for Analog-to-Digital (ADC) and Digital-to-Analog (DAC) signal conversions, addressing limitations of traditional systems, such as inefficiencies in speed, ...
Meta Platforms Inc. plans to release a mobile version of its Meta AI artificial intelligence assistant. The app is expected to debut in the second quarter, CNBC reported late Thursday. Meta AI is a ...
MATLAB PCM System Simulator demonstrating digital signal processing fundamentals. Features sampling, quantization (uniform/μ-law), multiple encoding schemes, and signal reconstruction. Includes ...
Summary: A central problem in machine learning involves modeling complex data-sets using highly flexible families of probability distributions in which learning, sampling, inference, and evaluation ...
RALEIGH, N.C.--(BUSINESS WIRE)--Red Hat, Inc., the world's leading provider of open source solutions, today announced that it has signed a definitive agreement to acquire Neural Magic, a pioneer in ...
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