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Researchers from MIT and Meta Introduce PlatoNeRF: A Groundbreaking AI Approach to Single-View 3D Reconstruction Using Lidar and Neural Radiance Fields
Researchers from MIT, Meta, and Codec Avatars Lab introduced PlatoNeRF, an innovative method for single-view 3D reconstruction using lidar and neural radiance fields. By leveraging time-of-flight data, PlatoNeRF overcomes limitations of prior methods, enabling reconstruction of both visible and occluded geometry without strict lighting conditions. It outperforms existing methods in various metrics, offering promising advancements…
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Researchers from Microsoft and Georgia Tech Introduce VCoder: Versatile Vision Encoders for Multimodal Large Language Models
Researchers from Microsoft and Georgia Tech have introduced VCoder, a method that enhances Multimodal Large Language Models’ (MLLMs) object perception abilities. By integrating additional perception modalities, VCoder significantly improves model performance on vision-language tasks, particularly in accurately counting and identifying objects within visual scenes. This innovative approach opens new avenues for refining and optimizing MLLMs’…
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The New York Times sues OpenAI, Microsoft over copyright claims
The New York Times has filed a lawsuit against OpenAI and Microsoft, alleging copyright infringement through their use of NYT articles to train AI models. The lawsuit asserts that AI-generated responses using NYT content deprive the company of revenue and damages its reputation. If successful, the lawsuit could impact the AI industry and journalism. (Summary:…
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Safeguarding Your RAG Pipelines: A Step-by-Step Guide to Implementing Llama Guard with LlamaIndex
Learn to incorporate Llama Guard into RAG pipelines for moderating LLM inputs/outputs and combating prompt injection. Find more details on Towards Data Science.
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Cohere AI Researchers Investigate Overcoming Quantization Cliffs in Large-Scale Machine Learning Models Through Optimization Techniques
The rise of large language models driven by artificial intelligence has reshaped natural language processing. Post-training quantization (PTQ) presents a challenge in deploying these models, with optimization choices during pre-training significantly impacting quantization performance. Cohere AI’s research delves into these intricacies, challenging the belief that quantization sensitivity is solely determined by model scale. The study’s…
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Researchers from the National University of Singapore Developed a Groundbreaking RMIA (Robust Membership Inference Attack) Technique for Enhanced Privacy Risk Analysis in Machine Learning
Privacy in machine learning models has become a critical concern due to Membership Inference Attacks (MIA). The new Relative Membership Inference Attack (RMIA) method, developed by researchers at the National University of Singapore, demonstrates its superiority in identifying membership within machine learning models, offering practical and scalable privacy risk analysis. For more information, visit the…
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Excitement grows over upcoming 2024 NVIDIA GTC AI experience
The NVIDIA 2024 GTC AI conference unites industry influencers in AI and accelerated computing. The in-person event, taking place from March 18-21, 2024, at the San Jose Convention Center, will feature workshops, networking opportunities, and presentations from tech leaders. The event promises to showcase the latest NVIDIA technologies, while offering insightful discussions and hands-on workshops.…
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Congress concerned about RAND’s influence on AI safety body
President Biden issued an executive order tasking NIST with researching AI model safety. RAND Corporation’s influence on NIST is under scrutiny due to its advisory role in shaping the order. Concerns have been raised about NIST’s outsourcing of AI safety research, particularly related to organizations like RAND, and its potential impact on AI regulation.
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This AI Paper Explores How Vision-Language Models Enhance Autonomous Driving Systems for Better Decision-Making and Interactivity
Autonomous driving technology combines AI, machine learning, and sensors to create vehicles capable of human-like decision making. DriveLM, a new model, employs Vision-Language Models for autonomous driving, demonstrating superior adaptability in handling complex driving scenarios. This approach represents a significant advancement in enhancing vehicle perception and decision-making, potentially revolutionizing autonomous driving technology.
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MyShell Open-Sources OpenVoice: An Instant Voice Cloning AI Library that Takes a Short Audio Clip from the Reference Speaker and Generate Speech in Multiple Language
MIT, MyShell.ai, and Tsinghua University researchers have developed OpenVoice, an open-source instant voice cloning method. It overcomes voice cloning challenges by enabling flexible voice style control and zero-shot cross-lingual cloning. OpenVoice can replicate a voice, generate speech in multiple languages, control voice styles, and accurately clone the reference speaker’s tone color.