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 ...

Valve continues to inch toward the inevitable Steam Machine release confirmed for this year, now by adding "initial support" for the hardware in the latest SteamOS preview update. That's the most ...

Valve’s Steam Machine desktop is currently in a state of involuntary limbo, driven by historically awful pricing and availability for memory and storage chips. AI data centers are absorbing much of ...

TL;DR: SteamOS 3.8 introduces support for Valve's upcoming Steam Machine and third-party handhelds like Xbox Ally and Lenovo Legion Go 2. The update enhances Steam Deck battery life, adds Bluetooth ...

LOUISVILLE, Ky. (WDRB) — Local and federal law enforcement agencies in Kentucky are supporting a House bill that would restrict the possession and use of switch attachments for guns. The move comes ...

Learn how to understand and compute line integrals in vector fields using both Python and traditional paper methods! This video walks you step by step through the concepts of line integrals, ...

Valve sent the gaming world into a tizzy when it unveiled a new slate of hardware last month, which includes a small cube dubbed the Steam Machine. Once the initial excitement died down, fans noticed ...

When Valve announced its upcoming Steam Machine hardware last month, some eagle-eyed gamers may have been surprised to see that the official spec sheet lists support for HDMI 2.0 output, rather than ...

An innovative donation-based vending machine is currently making the rounds in Buffalo. Called The Love Machine, this unique contraption was dreamt up by restaurateur Maura Crawford, who is one of the ...

Excitement abounds for Valve's quirky cuboid, Steam Machine. But the console-PC hybrid sounds awfully a lot like what Microsoft is hoping to accomplish with its next-generation hardware. Even in an ...

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...