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Meta AI Introduces Habitat 3.0, Habitat Synthetic Scenes Dataset, and HomeRobot: 3 Major Advancements in the Development of Social Embodied AI Agents
Facebook AI Research (FAIR) is focused on advancing socially intelligent robotics. Their goal is to develop robots that can assist with everyday tasks and adapt to human preferences. They have introduced three significant advancements: Habitat 3.0, a simulator for human-robot collaboration; the Habitat Synthetic Scenes Dataset (HSSD-200), a 3D dataset for training navigation agents; and…
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Meet FreeU: A Novel AI Technique To Enhance Generative Quality Without Additional Training Or Fine-tuning
Probabilistic diffusion models are cutting-edge generative models that have gained importance in computer vision. These models use a Markov chain to map the latent space and have impressive generative capabilities. A joint study explores the denoising process of diffusion models using a Fourier domain approach. The study reveals the impact of the U-Net architecture on…
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Engineers develop breakthrough ‘robot skin’
A smart and stretchable soft sensor has been developed for robotics and prosthetics. It provides touch sensitivity and dexterity to prosthetic arms and robotic limbs, enabling tasks like picking up soft fruit. The sensor skin is also soft like human skin, making human interactions safer and more realistic.
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New research into datasets reveals systematic ethical and legal issues
AI relies on data, but its legal and ethical origins are often unclear. Large language models like LLM require substantial amounts of text data, which can be found on platforms like Kaggle, GitHub, and Hugging Face. However, many datasets lack clear licensing information, posing copyright and fair use concerns. The Data Provenance Initiative has audited…
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Airbnb uses AI to wage war on house parties
Airbnb has implemented AI technology to combat house parties and protect property owners from potential damages. The system scans for red flags during the booking process, including account creation date, location proximity, and stay duration. If the risk of a party is deemed high, the booking may be prevented or redirected to a partner hotel’s…
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Evidence of AI misuse unearthed in the UK public sector
The Guardian has conducted an investigation into the use of AI and complex algorithms in the UK’s public sector decision-making processes. The findings reveal a chaotic and unsupervised application of these technologies across multiple departments, leading to discriminatory outcomes. Examples include an algorithm incorrectly suspending benefits and facial recognition technology showing higher error rates for…
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Intelligently search Drupal content using Amazon Kendra
Amazon Kendra is an intelligent search service that uses machine learning to quickly search enterprise data. The Amazon Kendra Drupal connector allows users to index and search Drupal content using intelligent search. This post provides a step-by-step guide on how to configure the connector and use it to search Drupal documents securely. It also mentions…
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Intuitivo achieves higher throughput while saving on AI/ML costs using AWS Inferentia and PyTorch
Intuitivo, a pioneer in retail innovation, is using cloud-based AI and machine learning to revolutionize shopping. Their autonomous points of purchase (A-POPs), or vending machines, offer enhanced customer experiences at a lower cost compared to traditional vending machines. They use AWS Inferentia to run computer vision models faster and reduce costs by 95%. They also…
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Empower your business users to extract insights from company documents using Amazon SageMaker Canvas Generative AI
Amazon SageMaker Canvas, introduced in 2021, allows business analysts to build and deploy machine learning (ML) models without coding. With recent updates, SageMaker Canvas now supports foundation models (FMs), enabling users to query documents from their knowledge base. Integration with Amazon Kendra allows for context-specific and secure retrieval of information. The feature can be easily…
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Frontier risk and preparedness
To ensure the safety of advanced AI systems, efforts are being made to enhance our approach to managing catastrophic risks. This involves creating a Preparedness team and initiating a challenge.