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Understanding the different types and kinds of Artificial Intelligence

IBM Journey to AI blog

Theory of Mind AI would also be able to understand and contextualize artwork and essays, which today’s generative AI tools are unable to do. Emotion AI is a theory of mind AI currently in development. This allows intelligent machines to identify and classify objects within images and video footage.

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8 AI Research Labs Pushing the Boundaries of Artificial Intelligence

ODSC - Open Data Science

If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. From responsible AI to protein discovery and more, The MIT Media Lab aims to drive AI research to create a “transformative future” while working toward the social good.

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

Reproducibility, integral to reliable research, ensures consistent outcomes through experiment replication. In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Multiple factors contribute to the reproducibility crisis in AI research.

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2024 BAIR Graduate Directory

BAIR

You can also turn on Disqus comments, but we recommend disabling this feature. --> Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning.

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Microsoft Research Introduces Florence-2: A Novel Vision Foundation Model with a Unified Prompt-based Representation for a Variety of Computer Vision and Vision-Language Tasks

Marktechpost

There has been a noticeable trend in Artificial General Intelligence (AGI) systems toward using pre-trained, adaptable representations, which provide task-agnostic advantages in various applications. The popularity of NLP encourages a complementary strategy in computer vision.

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This AI Research Presents RoboHive: A Comprehensive Software Platform and Ecosystem for Research in the Field of Robot Learning and Embodied Artificial Intelligence

Marktechpost

In recent years, artificial intelligence (AI) advancements have been made, notably in language modeling, protein folding, and gameplay. The discipline of robotics continues to be more fragmented than others, such as computer vision or natural language processing, where benchmarks and datasets are standardized.

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Can Computer Vision Systems Infer Your Muscle Activity from Video? Meet Muscles in Action (MIA): A New Dataset to Learn to Incorporate Muscle Activity into Human Motion Representations

Marktechpost

In recent times, the field of Artificial Intelligence has been the topic of discussion. Be it the human-imitating Large Language Model like GPT 3.5 based on Natural Language Processing and Natural Language Understanding or the text-to-image model called DALL-E based on Computer vision, AI is paving its way toward success.