SenseTime Group has raised $600 million from Alibaba Group Holding (baba) and other investors at a valuation of more than $3 billion, becoming the world’s most valuable artificial intelligence startup.
Source: fortune.com
DeepMarks introduces the first fingerprinting methodology that enables the model owner to embed unique fingerprints within the parameters (weights) of her model and later identify undesired usages of her distributed models. The proposed framework embeds the fingerprints in the Probability Density Function (pdf) of trainable weights by leveraging the extra capacity available in contemporary DL models. DeepMarks is robust against fingerprints collusion as well as network transformation attacks, including model compression and model fine-tuning.
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Depending on their score bracket, residents hold a grade ranging from A+++ to D. Some offenses can hurt the score pretty badly. For drunk driving, for example, one’s score plummets straight to a C. On the other hand, triple As are rewarded with perks such as being able to rent public bikes without paying a deposit (and riding them for free for an hour and a half), receiving a $50 heating discount every winter, and obtaining more advantageous terms on bank loans.
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There are a lot of neat things going on in deep reinforcement learning. One of the coolest things from last year was OpenAI and DeepMind’s work on training an agent using feedback from a human rather than a classical reward signal. There’s a great blog post about it at Learning from Human Preferences, and the original paper is at Deep Reinforcement Learning from Human Preferences.
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