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31246 Posts
Accelerating Advertising With AI Comes At A Cost

Accelerating Advertising With AI Comes At A Cost

AI — a catchword and momentous concept — is all-consuming. It demands nearly as much energy as Argentina uses in a year, is the obsession of practically every marketer I meet, and is invoked breathlessly by those who have the most to gain and lose from it. On Alphabet’s most recent earnings call, for example, Sundar Pichai and Philipp Schindler emphasized the integration of Gemini models into Performance Max to accelerate creativity and the adoption of AI-powered tools such as Smart Bidding and automatically created assets. It’s mathematically obvious to apply AI to advertising — it saves time and, by…
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MongoDB announces updates to power generative AI development – SiliconANGLE

MongoDB announces updates to power generative AI development – SiliconANGLE

Cloud database provider MongoDB Inc. today announced several new updates at its developer conference MongoDB.local NYC that will make it easier for developers to build, run and deploy generative artificial intelligence applications. The company announced new capabilities for MongoDB Atlas, a fully managed cloud database that can handle the complex task of deploying and scaling database systems, including real-time stream processing, search nodes for Microsoft Azure to optimize performance and edge server services to reduce complexity for managing data. Atlas Stream Processing, now generally available, allows developers to take advantage of real-time data coming from sources such as internet of things devices, customer browsing…
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How to Prepare Your Business for the EU AI Act With KPMG’s EU AI Hub

How to Prepare Your Business for the EU AI Act With KPMG’s EU AI Hub

The EU AI Hub, launched last week by AI security firm Cranium with KPMG and Microsoft, is a service designed to assist businesses in complying with the newly adopted EU AI Act. With expert advice and bespoke technologies, users will be taken through a series of steps to identify what parts of the AI Act apply to their products and what they need to do to comply. On March 13, 2024, the European Union Parliament voted the AI Act into law. This means businesses that offer AI products in the region will soon need to abide by its strict rules…
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Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch

Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch

arXiv:2405.13078v1 Announce Type: new Abstract: Knowledge Distillation (KD) could transfer the ``dark knowledge" of a well-performed yet large neural network to a weaker but lightweight one. From the view of output logits and softened probabilities, this paper goes deeper into the dark knowledge provided by teachers with different capacities. Two fundamental observations are: (1) a larger teacher tends to produce probability vectors that are less distinct between non-ground-truth classes; (2) teachers with different capacities are basically consistent in their cognition of relative class affinity. Abundant experimental studies verify these observations and in-depth empirical explanations are provided. The difference in dark…
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Business of AI Report 2023

Business of AI Report 2023

The Business of AI Report analyzes the AI trends and events that happened over the year since ChatGPT was released through a business & strategy lens. It covers a wide range of topics from the fastest growing generative AI products to why San Francisco is the AI hotspot to OpenAI’s Dev Day. There is a link to the report in Slides format (with product GIFs) at the end of this post. If you’re interested in meeting a curated group of 40-50 other people interested in the business of AI, check out the Enterprise GenAI Forum I’m hosting next week. The…
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The future of financial analysis: How GPT-4 is disrupting the industry, according to new research

The future of financial analysis: How GPT-4 is disrupting the industry, according to new research

Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. Researchers from the University of Chicago have demonstrated that large language models (LLMs) can conduct financial statement analysis with accuracy rivaling and even surpassing that of professional analysts. The findings, published in a working paper titled “Financial Statement Analysis with Large Language Models,” could have major implications for the future of financial analysis and decision-making. The researchers tested the performance of GPT-4,…
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AI headphones let wearer listen to a single person in a crowd, by looking at them just once

AI headphones let wearer listen to a single person in a crowd, by looking at them just once

Noise-canceling headphones have gotten very good at creating an auditory blank slate. But allowing certain sounds from a wearer's environment through the erasure still challenges researchers. The latest edition of Apple's AirPods Pro, for instance, automatically adjusts sound levels for wearers -- sensing when they're in conversation, for instance -- but the user has little control over whom to listen to or when this happens. A University of Washington team has developed an artificial intelligence system that lets a user wearing headphones look at a person speaking for three to five seconds to "enroll" them. The system, called "Target Speech…
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Towards Retrieval-Augmented Architectures for Image Captioning

Towards Retrieval-Augmented Architectures for Image Captioning

arXiv:2405.13127v1 Announce Type: new Abstract: The objective of image captioning models is to bridge the gap between the visual and linguistic modalities by generating natural language descriptions that accurately reflect the content of input images. In recent years, researchers have leveraged deep learning-based models and made advances in the extraction of visual features and the design of multimodal connections to tackle this task. This work presents a novel approach towards developing image captioning models that utilize an external kNN memory to improve the generation process. Specifically, we propose two model variants that incorporate a knowledge retriever component that is based…
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