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Quantifying intrinsic causal contributions via structure preserving interventions - Amazon Science

We propose a notion of causal influence that describes the ‘intrinsic’ part of the contribution of a node on a target node in a DAG. By recursively writing each node as a function of the upstream noise terms, we separate the intrinsic information added by each node from the one obtained from its…

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AI fuels startup success: 86% of founders report positive impact, HubSpot finds | VentureBeat

New HubSpot report finds 86% of startup founders say AI boosts go-to-market success, helping reach prospects, personalize marketing, and redefine entrepreneurship in the machine learning age.

Effect size estimation for duration recommendation in online experiments: Leveraging hierarchical models and objective utility approaches - Amazon Science

The selection of the assumed effect size (AES) critically determines the duration of an experiment, and hence its accuracy and efficiency. Traditionally, experimenters determine AES based on domain knowledge. However, this method becomes impractical for online experimentation services managing…

Neural ode for multi-channel attribution - Amazon Science

Multi-Touch Attribution plays a crucial role in both marketing and advertising, offering insight into the complex series of interactions within customer journeys during transactions or impressions. This holistic approach empowers marketers to strategically allocate attribution credits for…

Exclusive: Foundational emerges from stealth with $8 million to tackle data quality and AI readiness challenges  | VentureBeat

Foundational raises $8M seed round to automate data quality and AI readiness through advanced code analysis, helping enterprises build trust in data and streamline machine learning initiatives.

Why watermarking won't work | VentureBeat

Without standards and public education, AI watermarking will serve as little more than a plaster, failing to address issues of misinformation

Video Highlights: Open-Source LLM Libraries and Techniques — with Dr. Sebastian Raschka - insideBIGDATA

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with industry luminary Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.

Accenture's $1 billion LearnVantage platform tackles the growing AI skills gap | VentureBeat

Accenture's $1 billion investment in LearnVantage, an AI-powered learning platform, aims to bridge the growing skills gap and help businesses upskill their workforces to capitalize on emerging technologies like generative AI, cloud computing, and cybersecurity.

Multi-modal hallucination control by visual information grounding - Amazon Science

Generative Vision-Language Models (VLMs) are prone to generate plausible-sounding textual answers that, however, are not always grounded in the input image. We investigate this phenomenon, usually referred to as “hallucination” and show that it stems from an excessive reliance on the language…

Hierarchical query classification in e-commerce search - Amazon Science

E-commerce platforms typically store and structure product information and search data in a hierarchy. Efficiently categorizing user search queries into a similar hierarchical structure is paramount in enhancing user experience on e-commerce platforms as well as news curation and academic research.…

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