Abstract: Wireless sensor networks are the combination of enormous number of tiny devices of low price and small size. These Tiny devices are used to recognize the event, gather the data and forward ...

Google says a new compression algorithm, called TurboQuant, can compress and search massive AI data sets with near-zero indexing time, potentially removing one of the biggest speed limits in modern ...

Abstract: Low-power and Lossy Networks (LLNs) are essential components of the Internet of Things (IoT) ecosystem. These networks are distinct due to their unique features, such as traffic patterns and ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

A local-first, open-source platform for composing, deploying, and managing autonomous AI agents with tool calling, vector memory, multi-agent routing, and full audit trails — all running on a single ...

To compare the clinical outcomes of femtosecond laser-assisted cataract surgery (FSLACS) with astigmatic keratotomy (AK) versus toric intraocular lens (IOL t) implantation for astigmatism correction.