I am guessing so, based on seeing them stuck during the day when many hundreds operating at once. Making progress, as one would hope. But still a long way from commercial success, and still pissing off many human drivers during the day (I ask every UBER driver–all have stories).
MACHINE LEARNING
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AI and Machine Learning Transforming Healthcare in India
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@jeevprabnivash @GoI_MeitY @NeGD_GoI @nasscom @_DigitalIndia #AIinHealthcare #MachineLearning #INDIAai
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AI Revolutionizes Fight Against Multi-Drug Resistant Bacteria
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AI is a game-changer in the fight against multi-drug resistance. Through data analysis & advanced algorithms, AI is identifying potential drug components to combat resistant bacteria and revolutionize medical treatments. Read more : https://
rb.gy/0pqnq -
Recognize Anything: Strong Foundation Model for Image Tagging
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Recognize Anything: A Strong Image Tagging Model paper page: https://
huggingface.co/papers/2306.03
514
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demo: https://
huggingface.co/spaces/xinyu12
05/Tag2Text
… present the Recognize Anything Model (RAM): a strong foundation model for image tagging. RAM can recognize any common category with high accuracy. RAM introduces a -
Grounding Instructional Steps in Narrated How-To Videos
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Learning to Ground Instructional Articles in Videos through Narrations paper page: https://
huggingface.co/papers/2306.03
802
… present an approach for localizing steps of procedural activities in narrated how-to videos. To deal with the scarcity of labeled data at scale, we source the step -
5G and AI Drive Smart Manufacturing Transformation
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Manufacturers will leverage 5G connectivity, AI/ML, and IoT to optimize automation, and the convergence with edge computing provides a solid foundation for their transition to smart manufacturing. Microblog @antgrasso #5G #EdgeComputing #AI #IIoT
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Emergent Correspondence Discovery in Image Diffusion Models
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Emergent Correspondence from Image Diffusion paper page: https://
huggingface.co/papers/2306.03
881
… Finding correspondences between images is a fundamental problem in computer vision. In this paper, we show that correspondence emerges in image diffusion models without any explicit supervision. We -
Mega-TTS: Zero-Shot Text-to-Speech Scaling with Inductive Bias
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Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias paper page: https://
huggingface.co/papers/2306.03
509
… Scaling text-to-speech to a large and wild dataset has been proven to be highly effective in achieving timbre and speech style generalization, particularly in zero-shot -
LEACE: Perfect Linear Concept Erasure in Closed Form
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LEACE: Perfect linear concept erasure in closed form paper page: https://
huggingface.co/papers/2306.03
819
… introduce LEAst-squares Concept Erasure (LEACE), a closed-form method which provably prevents all linear classifiers from detecting a concept while inflicting the least possible damage to -
Natural Language Commanding via Program Synthesis for Productivity Software
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Natural Language Commanding via Program Synthesis paper page: https://
huggingface.co/papers/2306.03
460
… present Semantic Interpreter, a natural language-friendly AI system for productivity software such as Microsoft Office that leverages large language models (LLMs) to execute user intent across