Computer Weekly

Using your AI investment wisely: the case for smaller models with bigger impact

Bigger models, more parameters, higher benchmarks. There is often a fixation on scale in the discourse around AI, making it easy to assume that the bigger a Large Language Model (LLM) is, the better ...
IEEE

Weighted Mean Field Q-Learning for Large Scale Multiagent Systems

Abstract: Mean field reinforcement learning (MFRL) addresses the problem of dimensional explosion for large-scale multiagent systems. However, MFRL averages the actions of neighbors equally while ...

Nscale raises $1.1B to fuel AI data center expansion

Nscale, a developer of artificial intelligence data centers, has secured $1.1 billion in financing just a week after announcing a partnership with Nvidia (NVDA) and OpenAI in the U.K. The funding ...
IEEE

Elevation Correction of a Large-Scale DEM Using ICESat-2 Laser Altimetry Data

Abstract: The digital elevation model (DEM) is a digital representation of the surface elevation, but it contains elevation errors arising from vegetation coverage and terrain undulation. Spaceborne ...