Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...

ThreatsDay Bulletin: active exploits, supply chain attacks, AI abuse, and stealth data risks observed this week.

Abstract: The kNN (k Nearest Neighbor) query in road network environments is a critical issue in location-based services that has received a lot of attention in the industry. As real road networks ...

The stcrestclient package provides the stchttp ReST API library module. This allows simple function calls, nearly identical to those provided by StcPython.py, to be used to access TestCenter server ...

Abstract: The uneven distribution of electric vehicle charging stations (EVCS) on Java Island, Indonesia creates range anxiety for drivers and limits broader EV adoption. Existing navigation ...

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 ...