Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
In its "Tuscan Wheels" demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed ...
Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern ...
TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...
Will AI save us from the memory crunch it helped create?
Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...
Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing.
With nearly two decades of retail management and project management experience, Brett Day can simplify complex traditional and Agile project management philosophies and methodologies and can explain ...
Linear guideways with built-in encoders are transforming precision motion systems by combining guidance and feedback in one ...
We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results