Tech Xplore

Holographic storage approach packs more data into the same space by encoding three properties of light

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises to shrink AI’s “working memory” by up to 6x, but it’s still just a lab ...
IEEE

Data Encoding Algorithm for Transmission from Wearable Biomedical Sensors via Wireless Communication Channels

Abstract: This paper addresses the problem of efficient data transmission from wearable biomedical sensors via wireless communication channels in human motion biomechanics monitoring systems. A ...
Hosted on MSN

The algorithm that makes data smaller: How Lempel-Ziv compression works

Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful compression algorithms. This video explains the core idea behind lossless ...
IEEE

Delta Encoding and Predictive Modeling for Lossy Time-Series Compression Using Adaptive Linear Updates

Abstract: Efficient compression of time-series data is essential in IoT and real-time applications where bandwidth, storage, and latency are critical constraints. This paper presents the Adaptive ...