Rescuers pulled two workers alive from a hydropower tunnel in Nepal nine days after a glacier collapse buried the site in ice, rock and mud. Their rescue offers renewed hope as teams search for at least 900 others believed to be trapped in tunnels along the Trishuli River. Russian drone strikes Ukraine's security service headquarters At least 100 killed as Yemen's Houthis push towards key strait

'Musk profits where there are as few regulations as possible and he can dominate.' 'Musk profits where there are as few regulations as possible and he can dominate.' Ten years ago, after complaining that traffic was'driving him nuts', Musk's Boring Company began building underground tunnels to ease congestion on the roads. I t's another blindingly bright day in Las Vegas but I'm 30ft underground and strapped in for a rocket ride to the future. And it's pretty slow - my driver tells me the speed limit down here is 30mph. It's also pretty short: the journey is over in a matter of minutes.

Deep neural networks are widely known for their remarkable effectiveness across various tasks, with the consensus that deeper networks implicitly learn more complex data representations. This paper shows that sufficiently deep networks trained for supervised image classification split into two distinct parts that contribute to the resulting data representations differently. The initial layers create linearlyseparable representations, while the subsequent layers, which we refer to as the tunnel, compress these representations and have a minimal impact on the overall performance. We explore the tunnel's behavior through comprehensive empirical studies, highlighting that it emerges early in the training process. Its depth depends on the relation between the network's capacity and task complexity. Furthermore, we show that the tunnel degrades out-of-distribution generalization and discuss its implications for continual learning.

In this section, we detail the model architectures examined in the experiments and list all hyperpa-rameters used in the experiments. Both architectures consist of five stages, each consisting of a combination of convolutional layers with ReLU activation and max pooling layers. The base number of channels in consecutive stages for VGG architectures equals 64, 128, 256, 512, and 512. The subsequent stages are composed of residual blocks. In the case of ResNets, we report the results for the'conv2' layers.

Inside the Colosseum's Passage of Commodus, where emperors once walked One theory suggests the infamous Roman emperor survived an assassination attempt in the tunnel now open to the public. From October 2024 to September 2025, a team of experts restored part of the tunnel that's open to visitors for the first time. Breakthroughs, discoveries, and DIY tips sent six days a week. They say all roads lead to Rome . But in the Eternal City, all of the major roads were thought to lead somewhere very specific--a single column called the Milliarium Auereum, or the golden milestone.

Neural Information Processing Systems http://nips.cc/

Wethen define asurrogatelossLtoy(~P RD)foranetworkconfigurationP inthisweight11 space, which we choose to depend monotonically on theL2 distance to the nearestn-wedge. Together, these21 define locally ann-dimensional hyperplane of finite thickness in the remainingD nthin direction, i.e. acuboid.22 To go beyond classification, we also looked at CNN-based31 autoencoders. In all cases the results supported our landscape model and we will include them in the final version.32 R5: Radial tunnels = what low-dimensional cuts would show.

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