Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Frontiers

Advances in brain-computer interfaces: adaptive decoding, real-world applications, and neural data augmentation

Research on Brain-Computer Interfaces (BCIs) stands at the intersection of neuroscience, engineering, and artificial intelligence, aiming to bridge ...
EDN

Turbo-product codes advance ECC technology

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...
National Academies of Sciences%2c Engineering%2c and Medicine

The Unpredictable Certainty: White Papers

This paper describes techniques for implementing a video decoder that can decode MPEG-2 high-definition (HD) bit streams at a significantly lower cost than that for previously described ...
EDN

Self-correcting codes conquer noise, part 2: Reed-Solomon codecs

test and verify the Reed-Solomon codec. Each of these steps is important, and missing one results in developing hardware that does not work the first time and must be re-created. For example, it is ...
IEEE

Efficient Hardware Implementation of Partial Response Equalization with Reduced-State Sequence Estimation Decoder and Blind Adaptation Using Delay Zero Forcing Algorithm for DCI

Abstract: With the growing demand for data center interconnect (DCI) capacity, partial response equalization (PRE), employing either a 1/(1+D) decoder or an maximum likelihood sequence estimation ...
IEEE

CdualTAL: Multi-Domain Tool Wear Prediction Using a Dual-Channel Transformer and Cross-Attention Network

Abstract: Accurate tool wear prediction is crucial for manufacturing efficiency, yet effectively using multi-domain sensor features is difficult due to redundant noise. There is a critical need to ...