Kendall says AI is the'currency of the future'. Kendall says AI is the'currency of the future'. Trump is volatile, capricious and unreasonable - but he belongs to the old world of analogue power. D onald Trump is not impressed by soft power. He respects hard men with military muscle.

Hypothesis selection is a fundamental problem in learning theory and statistics. Given a dataset and a finite set of candidate distributions, the goal is to select a distribution that matches the data as well as possible. More specifically, suppose that we have sample access to an unknown distribution P over a domain X that we know is well-approximated by one of a class of n distributions (a.k.a.

This paper focuses on improving the reconstruction of 2D floorplans from unstructured 3D point clouds. We identify opportunities for enhancement over the existing methods in three main areas: semantic quality, efficient representation, and local geometric details. To address these, we presents SLIBO-Net, an innovative approach to reconstructing 2D floorplans from unstructured 3D point clouds. We propose a novel transformer-based architecture that employs an efficient floorplan representation, providing improved room shape supervision and allowing for manageable token numbers. By incorporating geometric priors as a regularization mechanism and post-processing step, we enhance the capture of local geometric details. We also propose a scale-independent evaluation metric, correcting the discrepancy in error treatment between varying floorplan sizes. Our approach notably achieves a new state-of-the-art on the Structured3D dataset. The resultant floorplans exhibit enhanced semantic plausibility, substantially improving the overall quality and realism of the reconstructions. Our code and dataset are available online1.

Communication compression is a common technique in distributed optimization that can alleviate communication overhead by transmitting compressed gradients and model parameters. However, compression can introduce information distortion, which slows down convergence and incurs more communication rounds to achieve desired solutions. Given the trade-off between lower per-round communication costs and additional rounds of communication, it is unclear whether communication compression reduces the total communication cost. This paper explores the conditions under which unbiased compression, a widely used form of compression, can reduce the total communication cost, as well as the extent to which it can do so. To this end, we present the first theoretical formulation for characterizing the total communication cost in distributed optimization with unbiased compressors. We demonstrate that unbiased compression alone does not necessarily save the total communication cost, but this outcome can be achieved if the compressors used by all workers are further assumed independent. We establish lower bounds on the communication rounds required by algorithms using independent unbiased compressors to minimize smooth convex functions and show that these lower bounds are tight by refining the analysis for ADIANA. Our results reveal that using independent unbiased compression can reduce the total communication cost by a factor of up to Θ( p min{n,κ}) when all local smoothness constants are constrained by a common upper bound, where nis the number of workers and κis the condition number of the functions being minimized. These theoretical findings are supported by experimental results.

Japan's Terra Drone expands investment in Ukraine drone sector A soldier from Ukraine's Taifun unmanned aerial vehicle unit holds a new model Marsianin attack drone on April 7 in Kharkiv region, Ukraine. Tokyo-based Terra Drone is expanding its investment in Ukrainian interceptor drones as it looks to bring battlefield-tested technology back to Japan to tap into a multibillion-dollar defense budget for unmanned systems. On Tuesday, Terra Drone CEO Toru Tokushige said the company was entering a new strategic partnership with Ukraine's WinnyLab to develop fixed-wing interceptor drones. It comes after the company announced in March that it would make an investment in Ukraine's Amazing Drones to develop vertical take-off interceptor drones. "Starting with interceptor drones we are looking for products that are good for increasing the defensive power of Ukraine and also the defensive power of Japan," Tokushige said in an interview.