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Cerebras and G42 Break New Ground with 4-Exaflop AI Supercomputer: Paving the Way for 8-Exaflops
Cerebras Systems and G42 have achieved a significant milestone in the field of artificial intelligence with the completion of a 4-Exaflop AI supercomputer. This partnership showcases their technical expertise and commitment to innovation. They are now aiming to reach 8-Exaflops, which will have far-reaching implications for AI research and various industries. This achievement highlights the…
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Researchers from Waabi and the University of Toronto Introduce LabelFormer: An Efficient Transformer-Based AI Model to Refine Object Trajectories for Auto-Labelling
Researchers from Waabi and the University of Toronto have developed LabelFormer, a transformer-based AI model that efficiently refines object trajectories for auto-labelling. This technique improves the accuracy of bounding boxes by utilizing the entire time context and outperforms window-based approaches in terms of computing efficiency. The comprehensive experimental assessment demonstrates the effectiveness of LabelFormer in…
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Rosalyn Unveils StableSight AI to Combat Rising Online Exam Cheating
Rosalyn has introduced StableSight, an advanced AI system to tackle academic dishonesty in online education. It features gaze-tracking and keyboard sound analysis to detect cheating methods like secondary screens and concealed devices. The platform identifies suspected cases of cheating and involves human reviewers for fair assessment. StableSight has gained recognition from organizations and aims to…
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Implement real-time personalized recommendations using Amazon Personalize
Amazon Personalize is a machine learning technology that enables businesses to provide personalized recommendations to their customers. It simplifies the integration of personalized recommendations into websites, applications, and email marketing systems. With Amazon Personalize, businesses can easily train models, process data, and generate real-time recommendations. The solution can be implemented using various AWS services such…
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Improve LLM responses in RAG use cases by interacting with the user
Generative AI and large language models (LLMs) are often used for question answering systems based on external knowledge. Traditional systems struggle with vague or ambiguous questions without context. To address this, an interactive clarification component using LangChain is introduced, allowing a conversational dialogue with users to gather context and provide accurate answers. The solution is…
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Comprehensive Guide: Live Chat ADA Compliance
Live chat has become essential for online businesses to provide immediate customer support. It is crucial to ensure that live chat systems are ADA compliant, making them accessible to people with disabilities. ADA compliance goes beyond legal obligations and sends a message of inclusivity and respect. Key components of ADA compliance include accessible design, alternative…
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Police scanned Beyoncé concert for pedophiles and terrorists
Welsh police used facial recognition technology to scan Beyoncé concertgoers in Cardiff in May this year, aiming to find matches to a watch list of suspected terrorists and pedophiles. The use of facial recognition at events has been criticized, but South Wales Police and Crime Commissioner Alun Michael supported its use, stating that it was…
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OpenAI and Google in high-stakes battle for AI talent
OpenAI and Google are aggressively competing for the top AI researchers by offering large incentives. OpenAI’s recent valuation boost has allowed them to offer huge salaries to Google staff, while Google is forced to increase salaries to retain key employees. Factors such as management style and project profiles also influence researchers’ decisions. Google currently has…
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Apple to Add New AI in iOS 18: Big Changes Coming
Apple Inc. is preparing to launch iOS 18 at its next Worldwide Developer Conference. The update will focus on integrating generative AI and is an effort to keep up with Google and OpenAI. Significant software advancements, particularly in generative AI, are expected, and the update will offer overhauls in features, design, security, and performance. The…
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This AI Paper Introduces Relax: A Compiler Abstraction for Optimizing End-to-End Dynamic Machine Learning Workloads
Relax is a compiler abstraction that optimizes machine learning models with dynamic shapes. It uses symbolic shape annotations to track dynamic shape computations and enables cross-level optimizations. The forward deduction method is used to infer annotations based on input components. Experimental results show competitive performance across different hardware backends.