arXiv:2604.07345v1 Announce Type: cross
Abstract: The rapid growth of generative artificial intelligence (AI) has introduced unprecedented computational demands, driving significant increases in the energy footprint of data centers. However, existing …
arXiv:2604.06808v1 Announce Type: cross
Abstract: This paper presents CBM-Dual, the first silicon-proven digital chaotic dynamics processor (CDP) supporting both simulated annealing (SA) and reservoir computing (RC). CBM-Dual enables real-time decisio…
arXiv:2604.06753v1 Announce Type: new
Abstract: When an LLM-based agent improves on a task, is the gain from the model itself or from the reasoning paradigm wrapped around it? We study this question by comparing six inference-time paradigms, namely Di…
arXiv:2604.07053v1 Announce Type: new
Abstract: Recent feed-forward Gaussian reconstruction models adopt a pixel-aligned formulation that maps each 2D pixel to a 3D Gaussian, entangling Gaussian representations tightly with the input images. In this p…
Through LinkedIn’s more than one billion business users, the Microsoft unit has access to a vast array of personally-identifiable information, including data that could identify religious and political positions. What is less cle…
Chinese AI company Z.ai has launched GLM-5.1, an open-source coding model it says is built for agentic software engineering. The release comes as AI vendors move beyond autocomplete-style coding tools toward systems that can hand…
IDC has reiterated its warnings that a long-drawn out war in the Middle East is likely to drastically reduce global IT spending for 2026.
The research firm had already cut its 2026 IT spending growth forecast to 9% because of …
arXiv:2512.04415v4 Announce Type: replace
Abstract: Physical feasibility in 3D bin packing is a key requirement in modern industrial logistics and robotic automation. With the growing adoption of industrial automation, online bin packing has gained in…
arXiv:2601.06748v3 Announce Type: replace
Abstract: Vision-Language-Action models have recently emerged as a powerful paradigm for general-purpose robot learning, enabling agents to map visual observations and natural-language instructions into execut…
arXiv:2604.05896v1 Announce Type: new
Abstract: As robots increasingly operate in shared, safety critical environments, acting safely is no longer sufficient robots must also make their safety decisions intelligible to human collaborators. In human ro…