Google has updated its Gemini Enterprise app, adding new ways for office workers to build, manage, and interact with AI agents. The company also rolled out additional tools for IT teams to govern the use of agents via the new Gem…
Meta plans to track US employees’ mouse movements, clicks, keystrokes, and screen activity to train workplace AI agents, according to Reuters, offering an early look at how far major tech companies may go to build systems that ca…
For all the fancy-schmancy things our modern-day technology promises to do for us, one thing Google has yet to give us is a simple and reliable way to sync the clipboards on our Android phones and computers.
It’s such a powerf…
arXiv:2601.04237v2 Announce Type: replace-cross
Abstract: We demonstrate SAGE-32B, a 32 billion parameter language model that focuses on agentic reasoning and long range planning tasks. Unlike chat models that aim for general conversation fluency, SAG…
arXiv:2510.23156v2 Announce Type: replace
Abstract: The growing demand for smart home interfaces has increased interest in non-intrusive sensing methods like vibration-based gesture recognition. While prior studies demonstrated feasibility, they often…
arXiv:2409.09451v5 Announce Type: replace-cross
Abstract: Foundation models pre-trained using self-supervised learning have shown powerful transfer learning capabilities on various downstream tasks, including language understanding, text generation, a…
arXiv:2604.18806v1 Announce Type: new
Abstract: 3D-IC netlist partitioning is commonly optimized using proxy objectives, while final PPA is treated as a costly evaluation rather than an optimization signal. This proxy-driven paradigm makes it difficul…
arXiv:2507.06321v2 Announce Type: replace-cross
Abstract: Collecting and annotating images for the purpose of training segmentation models is often cost prohibitive. In the domain of wildland fire science, this challenge is further compounded by the s…
arXiv:2604.18828v1 Announce Type: new
Abstract: Artificial Intelligence (AI) surrogate models provide a computationally efficient alternative to full-physics simulations, but no public datasets currently exist for training and validating models of hig…
arXiv:2604.18839v1 Announce Type: new
Abstract: Looped transformers scale computational depth without increasing parameter count by repeatedly applying a shared transformer block and can be used for iterative refinement, where each loop rewrites a ful…