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Researchers from NYU and Meta Introduce Dobb-E: An Open-Source and General Framework for Learning Household Robotic Manipulation

Marktechpost

The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a highly adaptable system capable of learning and adapting from user demonstrations. Foundational models are pre-trained on this data.

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This AI can tell if your home is wasting energy — just by looking at it

Flipboard

Two researchers from the University of Cambridge have developed a deep-learning algorithm that could make it easier, faster, and cheaper to identify energy-wasting homes — a significant source of greenhouse gas emissions. Trained on open-source data including energy performance certificates and …

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Human-guided AI Framework Promises Quicker Robotic Learning in Novel Environments

Unite.AI

In the future era of smart homes, acquiring a robot to streamline household tasks will not be a rarity. Enter Andi Peng, a scholar from MIT's Electrical Engineering and Computer Science department, who, along with her team, is crafting a path to improve the learning curve of robots. But it had its limitations.

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From Development to Deployment of an AI Model Using Azure

Towards AI

U+1F44B Welcome to another exciting journey in the realm of machine learning. Deploying machine learning models. Why learning to deploy the ML model is important? Now, you might be wondering, “Why bother with deploying a frontend for my machine learning model?” So let’s start by building our machine learning model.

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AI News Weekly - Issue #369: Mark Zuckerberg’s new goal is creating AGI (artificial general intelligence) - Jan 25th 2024

AI Weekly

Rapid AI innovation has fueled future predictions, as well, including everything from friendly home robots to artificial general intelligence (AGI) within a decade. Rapid AI innovation has fueled future predictions, as well, including everything from friendly home robots to artificial general intelligence (AGI) within a decade.

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From Internet of Things to Internet of Everything: The Convergence of AI & 6G for Connected Intelligence

Unite.AI

It refers to a digitally connected universe built on smart devices like fitness trackers, home voice assistants, smart thermostats, etc. It is reaching every home across the globe. IoT market is growing rapidly. According to McKinsey, the global IoT market will amount to $12.6 trillion by 2030.

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Pocket-Sized Powerhouse: Unveiling Microsoft’s Phi-3, the Language Model That Fits in Your Phone

Unite.AI

This high demand complicates their use on standard computers and mobile devices, raises environmental concerns due to their energy consumption during training and operation, and risks perpetuating biases with their large and complex training datasets. Training Data : Unlike Phi-2, which was trained on 1.4