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Mastercard develops an AI model using generative techniques to combat fraud

Mastercard is set to enhance its real-time fraud detection capabilities with the launch of an innovative AI tool called Decision Intelligence Pro (DI Pro). Developed by the company’s cybersecurity and anti-fraud divisions, DI Pro employs a recurrent neural network to identify fraudulent transactions. This system is constantly learning, processing billions of Mastercard transactions annually to

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DeepSeek-AI Launches DeepSeek-Coder Series: An Array of Open-Source Coding Models from 1.3B to 33B, Entirely Trained on 2T Tokens

In the continually evolving field of software development, large language models (LLMs) have brought about notable changes, particularly in the sector of code intelligence. These advanced models have played a vital role in automating several aspects of coding such as locating bugs and generating code. This innovation in approach and execution of coding tasks has

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Introducing CMMMU: A Freshly Developed Chinese Wide-Ranging Multi-Discipline Multimodal Comprehension Benchmark Crafted to Assess Expansive Multimodal Models LMMs

Artificial Intelligence’s Large Multimodal Models (LMMs) exhibit impressive problem-solving abilities across varied tasks like zero-shot classifications, retrieval, and multimodal questioning. However, a significant gap lurks between robust LMMs and expert AI, especially concerning complex perception and reasoning with domain-specific expertise. This study introduces CMMMU, a pioneering Chinese evaluative benchmark designed to evaluate LMMs in multi-disciplinary

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MAI#24 – Battle of neuro-chips, duplicates, and Swift fans retaliate

This week in AI news, Tay Tay’s Swifties combatted AI-generated explicit content. Artificial intelligence not only made it easier to create compromising content of celebrities, but also of everyday people. Discovery of tech like InstantID has led to concerns about how easily such content can be created, leading to widespread public and industry reaction. In

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AI leads to surge in energy requirements for data centers: is it maintainable?

The exponential growth in AI is contradicting with environmental sustainability, with the possibility of coal power persisting to maintain electricity demands. As nations across the globe push for net zero transition, AI technology’s immense electricity consumption, particularly generative AI, poses a challenge. AI models, which were localized and small-scale a few years ago, are now

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Scholars from Hong Kong’s Chinese University and Tencent AI Lab Suggest a Multimodal Approach to Enhance Transformers with Extraneous Data from Different Modalities

Transformers have a broad range of applications in tasks such as text classification, map construction, object detection, point cloud analysis, and audio spectrogram recognition. They are also competent in multimodal assignments, as demonstrated by CLIP’s use of image-text pairs for enhanced image recognition. This reflects the effectiveness of transformers in establishing universal sequence-to-sequence modeling and

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‘AGENTBOARD’: A New Open-Source Framework for Assessing Multi-Turn LLM Agents Presented in Chinese AI Study

A group of researchers from several universities in Hong Kong and mainland China have addressed the challenge of evaluating language models (LLMs) as versatile agents with the creation of a new benchmark and evaluation tool, AgentBoard. The existing evaluation standards have encountered issues with the benchmarking of varied scenarios, and with maintaining environments that are

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Introducing BiTA: A Creative AI Technique Accelerating LLMs through Improved Semi-Autoregressive Production and Draft Validation

Language transformer models like Chat-GPT and LLaMA-2 have witnessed a rapid evolution, with parameters now running from a few billion to tens of trillions. Despite being excellent generators, these models struggle with inference delay due to their heavy computational load. This has led to a strong push for accelerating their inference, particularly in resource-constrained environments

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Artificial Intelligence Might Assist Power Plants in Carbon Capture with 36% Less Grid Energy Usage, According to a Recent Study at the University of Surrey

Artificial intelligence (AI) plays a central role in environmental studies and recently, its usage in carbon capture technology has considerably increased. Carbon capture technology is responsible for tackling climate change by trapping carbon dioxide emissions produced in power plants. However, the current systems are not efficient and consume considerable amounts of energy. In this light,

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A Comprehensive Guide to Unsubscribing from Your Midjourney Subscription: Step-by-Step Instructions

Are you considering canceling your Midjourney subscription, a popular AI-powered image generation tool? This guide simplifies the task into a few simple steps. First, it’s noteworthy to understand the subscription model of Midjourney. The service operates on a subscription basis, meaning there’s a recurring fee to access its features. Prior cancellation, you should familiarize yourself

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Steps to Erase Your AI: An Instructional Manual

Snapchat’s newest feature, My AI, has brought about mixed reviews from users. The in-app chatbot that uses artificial intelligence to chat with users has been praised for its multilingual capabilities, while some users have raised concerns regarding the element of privacy and usability. If you’re a Snapchat user and looking to delete the My AI

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