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Top Emerging Areas in Artificial Intelligence (AI)

Marktechpost

Among the main advancements in AI, seven areas stand out for their potential to revolutionize different sectors: neuromorphic computing, quantum computing for AI, Explainable AI (XAI), AI-augmented design and Creativity, Autonomous Vehicles and Robotics, AI in Cybersecurity and AI for Environmental Sustainability.

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Create high-quality datasets with Amazon SageMaker Ground Truth and FiftyOne

AWS Machine Learning Blog

Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. FiftyOne by Voxel51 is an open-source toolkit for curating, visualizing, and evaluating computer vision datasets so that you can train and analyze better models by accelerating your use cases.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Use the following pieces of information to provide a concise answer to the question enclosed in tags. Mark’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise. She helps customers to build, train and deploy large machine learning models at scale.

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Dude, Where’s My Neural Net? An Informal and Slightly Personal History

Lexalytics

McCulloch and Pitts would later go on to write a paper with Lettvin and Maturana [ 2 ] that showed how the neurons in a frog’s eye computed very specific environmental features. These were exciting times: the Dartmouth AI conference had been held in 1956, with its promise of solving AI through symbolic methods.