Remove AI Modeling Remove Explainable AI Remove Robotics
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Generative AI and Robotics: Are We on the Brink of a Breakthrough?

Unite.AI

Imagine a world where robots can compose symphonies, paint masterpieces, and write novels. This fascinating fusion of creativity and automation, powered by Generative AI , is not a dream anymore; it is reshaping our future in significant ways. GANs gave rise to DALL-E , an AI model that generates images based on textual descriptions.

Robotics 278
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Who Is Responsible If Healthcare AI Fails?

Unite.AI

Doctors and patients can use AI as purely a software-based decision-making tool or AI can be the brain of physical devices like robots. For example, what happens if an AI-powered surgery robot malfunctions during a procedure? At the root of AI mistakes like these is the nature of AI models themselves.

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AI News Weekly - Issue #354: The top 100 people in A.I. - Oct 12th 2023

AI Weekly

techspot.com Applied use cases Study employs deep learning to explain extreme events Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations. "I'll get more," he added.

Robotics 239
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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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Advancing Agriculture and Forestry with Human-Centered AI: Challenges and Opportunities

Marktechpost

However, the challenge lies in integrating and explaining multimodal data from various sources, such as sensors and images. AI models are often sensitive to small changes, necessitating a focus on trustworthy AI that emphasizes explainability and robustness.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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What Is Trustworthy AI?

NVIDIA

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations.

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