Brian Today’s guest is Shahni Ben-Haim. How are you today? Thanks for joining. Shahni Ben-Haim Thank you for having me. I’m doing great. How are you? Brian Very good, thank you. Shahni is the CEO and founder of SBH Media Relations and creator and host of the podcast PR on the Record. So, let’s start there. What does media relations mean to you? Shahni Ben-Haim The way I look at Media relations is two-sided. From the brand perspective, […]

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Around 2 years ago, our sales team was given a daunting task by our CEO – win an incremental 15 points of share in a market segment where we have less than 25% share today. The task seemed even more insurmountable given the fact that this customer segment had an entrenched competitor who had more than 50% share. As the strategy professional for the team, I was tasked with building the approach that the sales team could execute […]

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Real-world machine learning on tabular data relies on complex data preparation pipelines for prediction, data integration, augmentation, and debugging. Designing these pipelines requires substantial domain expertise and engineering effort, motivating the question of how large language models (LLMs) can support tabular ML through code synthesis. We introduce SemPipes, a novel declarative programming model that integrates LLM-powered semantic data operators into tabular ML pipelines. Semantic operators specify data transformations in natural language while delegating execution to a runtime system. […]

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Artificial intelligence is making automation accelerate faster than previous waves. With AI as a propellant, the work of building automation increasingly becomes automatable itself. As it becomes cheaper and easier to mechanize tasks, automation spreads faster—and speeds up as it spreads. The result is that the current wave of AI adoption is likely to produce major disruption in the labor market. In earlier automation waves, the limiting factor was rarely whether a task could be automated in theory. The real […]

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arXiv:2601.19967v1 Announce Type: new Abstract: Collecting web data to train deep models has become increasingly common, raising concerns about unauthorized data usage. To mitigate this issue, unlearnable examples introduce imperceptible perturbations into data, preventing models from learning effectively. However, existing methods typically rely on deep neural networks as surrogate models for perturbation generation, resulting in significant computational costs. In this work, we propose Perturbation-Induced Linearization (PIL), a computationally efficient yet effective method that generates perturbations using only linear […]

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Memes have been part of the discourse since Richard Dawkins published The Selfish Gene in 1976. Dawkins defined “memes” as units of cultural transmission—ideas and concepts that spread through imitation. Any idea that replicates by passing from one mind to another is a meme. A meme can be a belief system, a set of behaviors, an ideology, a viral catchphrase, a fashion trend, a cultural artifact, or an urban legend. But if memes are defined by virality, antimemes […]

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arXiv:2303.02566v3 Announce Type: replace Abstract: In various practical situations, matrix factorization methods suffer from poor data quality, such as high data sparsity and low signal-to-noise ratio (SNR). Here, we consider a matrix factorization problem by utilizing auxiliary information, which is massively available in real-world applications, to overcome the challenges caused by poor data quality. Unlike existing methods that mainly rely on simple linear models to combine auxiliary information with the main data matrix, we propose to integrate gradient […]

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