COOT leads to performance improvements over the state-of-the-art methods.

Figure 1: The proposed unsupervised graph representation using motif compositions.

As deep learning blooms with growing demand for computation and data resources, outsourcing model training to a powerful cloud server becomes an attractive alternative to training at a low-power and cost-effective end device.

WIRED copublished an investigation this week with The Markup and CalMatters showing that dozens of data brokers have been hiding their opt-out and personal-data-deletion tools from Google Search, making it harder for people to find and utilize them. The report prompted US senator Maggie Hassan to demand accountability from the companies. WIRED also took a deep dive looking at what the data-analysis giant Palantir actually does. Reports this week that Russia was likely involved in, or entirely behind, the US Courts records system breach highlight both the stakes of the incident and information that federal investigators seem to still be lacking about what exactly happened. New research is shedding light on the inner workings of the multimillion-dollar gray market for video game cheats.

Consequently, if the parameterization is not rich enough, then it may not be possible to represent the distribution ratios accurately, and when using rich function approximators (such as neural networks) then the optimization procedure may get stuck in sub-optimal saddle points.

Large language models lie at the center of recent advances in artificial intelligence.

You've met the love of your life; someone who understands you like no one else ever has. And then you wake one morning and they're gone. Such is the melancholic lot of a group of people who have entered into committed relationships with digital'partners' on OpenAI's ChatGPT. When the tech company released its new GPT-5 model earlier this month, described by chief executive Sam Altman as a "significant step forward", certain dedicated users found that their digital relationships had taken a significant step back. Their companions had undergone personality shifts with the new model; they weren't as warm, loving or chatty as they used to be.

For the transductive setup, we used the three standard citation network benchmarks, Cora, Cite-seer and Pubmed (Sen et al., 2008). We followed the transductive setup adopted in (Y ang et al., Cora contains 2708 nodes, 5429 edges, 7 classes and 1433 features per node. Citeseer contains 3327 nodes, 4732 edges, 6 classes and 3703 features per node. Critically, testing graphs remain completely unobserved during training. The average number of nodes per graph is 2372.

We develop a rigorous mathematical analysis of zero-shot learning with attributes.