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AI bubble fears return as Wall Street falls back from short-lived rally
Fears of a growing bubble around the artificial intelligence frenzy resurfaced on Thursday as leading US stock markets fell, less than 24 hours after strong results from chipmaker Nvidia sparked a rally. Wall Street initially rose after Nvidia, the world's largest public company, reassured investors of strong demand for its advanced data center chips. But the relief dissipated, and technology stocks at the heart of the AI boom came under pressure. The benchmark S&P 500 closed down 1.6%, and the Dow Jones industrial average closed down 0.8% in New York. The tech-focused Nasdaq Composite closed down 2.2%.
Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
In addition, the robustness of the model trained by this strategy depends on the attacks covered by the adversarial training examples.
Putin calls dancing Russian robot 'very beautiful' in awkward AI conference moment
Russian humanoid robot Green danced for President Vladimir Putin at a Moscow AI exhibition, introducing itself as the first Russian robot with embedded artificial intelligence.
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E
Of particular interest is the inter-atomic potential energy surface (PES).
Expanding Holographic Embeddings for Knowledge Completion
Yexiang Xue, Yang Yuan, Zhitian Xu, Ashish Sabharwal
KGs can be represented as a multigraph, where entities such as Bill Gates and Seattle are nodes, connected with zero or more relations such as livesIn and likes .
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander Schwing, Murali Annavaram, Salman Avestimehr
Data parallelism can boost the training speed of convolutional neural networks (CNN), but could suffer from significant communication costs caused by gradient aggregation.
Online Learning of Quantum States
Scott Aaronson, Xinyi Chen, Elad Hazan, Satyen Kale, Ashwin Nayak
Neural Information Processing Systems http://nips.cc/
Doctors reveal troubling signs in early flu trends, warn of 'unusually bad' season
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Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Paishun Ting, Shiyu Chang, Lisa Amini
Neural Information Processing Systems http://nips.cc/
A Startup's Bid to Dim the Sun
The gloomy arguments in favor of solar geoengineering are compelling; so are the even gloomier counter-arguments. Stardust is the name of a small startup with enormous ambitions. The company, which is based in Israel and registered in Delaware, proposes to do nothing less than dim the sun. Its business plan is modelled on volcanoes. In a major eruption, millions of tons of sulfur dioxide get thrown up into the stratosphere.