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AI models can’t be named as an inventor for patents, UK court decides
The UK Supreme Court has ruled that AI cannot be named as an inventor in a patent application. Initiated by Dr. Stephen Thaler’s AI chatbot, Dabus, the case highlights the evolving legal landscape surrounding AI-related issues. While AI cannot be labeled as an inventor, it can play a role in the invention process. This ruling…
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AI-powered breast cancer detection by QuData: a technological leap in healthcare
QuData has launched an AI-powered breast cancer diagnostic system, offering early detection and prompt intervention. This innovative technology marks a significant advancement in accessible, accurate, and timely treatment, leading to improved outcomes.
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ML boosts X-ray diffraction techniques to find new materials
Material scientists at the University of Rochester are using machine learning to expedite the discovery of new crystalline materials with specific properties. By automating the classification of materials based on X-ray diffraction patterns using convolutional neural networks, this approach aims to accelerate materials innovation and benefit various technological applications, from electronics to sustainability.
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Using AI, MIT researchers identify a new class of antibiotic candidates
Using deep learning, MIT researchers have discovered compounds with high potential to kill drug-resistant bacteria like MRSA. These compounds demonstrate low toxicity against human cells, making them strong drug candidates. MIT’s Antibiotics-AI Project aims to find new antibiotics using deep learning models, and the research has been published in Nature. The project received funding from…
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Dealing with MRI and Deep Learning with Python
The text provides a comprehensive guide to MRI Analysis through Deep Learning models in PyTorch. It introduces the author’s AI research on brain tumor grade classification using DL models and highlights challenges in using medical image data with DL models. It covers CNN fundamentals, MRI data preparation, and PyTorch model setup. The guide also includes…
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Make Your Full Songs with Microsoft’s New Copilot
Microsoft’s AI chatbot, Copilot, has partnered with Suno, an AI music startup, to enable users to create songs on demand. By activating the Suno plug-in, users can provide song ideas and receive a 1-2 minute song with lyrics in seconds. While the free version allows sharing on social media, paid users can profit but Suno…
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Google Researchers Unveil ReAct-Style LLM Agent: A Leap Forward in AI for Complex Question-Answering with Continuous Self-Improvement
Researchers at Google have introduced a ReAct-style Large Language Model (LLM) agent intended to tackle complex question-answering. By incorporating external information and fine-tuning with reduced parameterization, this approach aims to overcome challenges in answering difficult questions and enhance performance on demanding benchmarks. The agent utilizes an iterative training technique, ReST, and incorporates stepwise AI feedback…
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This AI Paper Unveils Point Transformer V3 (PTv3): A Leap Forward in Efficient and Scalable Point Cloud Processing
The text discusses Point Transformer V3 (PTv3), an innovative approach in point cloud processing that prioritizes simplicity and efficiency, achieving scalability and significant performance improvements. It has shown remarkable results across over 20 tasks in indoor and outdoor scenarios, emphasizing the impact of scale on model performance and leveraging serialized mapping for expanded receptive fields.…
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VERSES claims AGI breakthrough in open letter to OpenAI
AI company VERSES made a bold statement with a billboard outside OpenAI’s headquarters, challenging them to collaborate on achieving Artificial General Intelligence (AGI). VERSES CEO Gabriel René called for OpenAI to honor their commitment to support a promising project. VERSES claims their Active Inference approach achieves AGI, surpassing deep learning models with less input data.
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Ensuring Correct Use of Transformers in Scikit-learn Pipelines
The text covers the topic of effective data processing in machine learning projects, with further details available on Towards Data Science.