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A fast, cheap, and state-of-the-art 3D mesh generation model that can be conditioned on images or text. Specifically, it uses signed distance function supervision and a cascade of steps such as a normal map generator that offloads different tasks to various submodels.
Automating and optimizing chip design with AI can reduce costs and meet demand for stronger chips. This method was tested on many circuits, generating compact and efficient designs with a success rate of 84.6% using an Alpha Zero based approach.
This is a great paper that discusses how brittle modern agent systems are and what the path forward could be to design learned systems. Its authors use programming languages as a test bed where agents can be designed and run unsupervised.
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Extremely fast and efficient optical flow code that can be run on low power devices such as phones and some security camera systems.
A new framework was developed for generating X-ray medical reports that enhances performance while reducing computational complexity.
TraDiffusion is a new method for guiding text-to-image generation using mouse trajectories instead of traditional box or mask controls.
Current language models predict one word at a time, which gives very little room for planning and reasoning. There are ways around this such as Chain of Thought prompting. However, potentially using diffusion models, which can spend more diffusion steps per token, could be a way to improve model reasoning.
AI companies have overestimated the readiness of generative AI for widespread commercial use, leading to costly missteps in product development and market integration. As they try to correct course, they must overcome five key challenges: ensuring cost-effectiveness, improving reliability, safeguarding privacy, enhancing safety and security, and refining user interfaces. These obstacles highlight the gap between AI's potential capabilities and the practical realities of deploying AI systems that meet consumer expectations and integrate seamlessly into existing workflows. The path to widespread adoption will likely unfold over a decade or more, rather than the rapid timeline some have predicted.
A fun utility that animates a curve rider sled going down loss functions, showing when they converge and when they're too spiky.
Unitree Robotics has optimized its $16,000 G1 humanoid robot for mass production, showing off its improved agility with abilities such as leaping and climbing stairs.
SkyScript-100M is an extensive dataset designed to enhance the generation of high-quality shooting scripts for short dramas.
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Former Google CEO Eric Schmidt predicts rapid advancements in AI, with potential to create significant apps like TikTok competitors in minutes within the next few years. He highlights the unpredictability and swift progress in AI, where large language models and agent-based systems with text-to-action capabilities could converge, causing tremendous economic and technological disruption. Schmidt's view reflects the substantial investments and energy requirements anticipated for leading-edge AI development, signaling a transformative period ahead.
Waymo has unveiled its Generation 6 self-driving technology, which requires fewer cameras and sensors, integrated into Geely Zeekr EVs. The Alphabet unit plans to rapidly deploy this tech, leveraging machine learning and semiconductor advancements to withstand diverse weather conditions. This update supports Waymo's scaling efforts for its Waymo One service, which is currently providing 50,000 weekly trips.
Gemini Live, Google's AI-powered voice interaction system, mimics natural conversation but struggles with hallucinations and inaccuracies. Despite incorporating professional actors for more expressive voices, it lacks the customizability and expressiveness found in competitors like OpenAI's Advanced Voice Mode. Overall, the bot's reliability issues and limited functionality make its practicality and purpose unclear, particularly as part of Google's paid AI Premium Plan.
BLIP was the dominant multimodal model for some time. The newest version is dramatically simpler, using a pure autoregressive loss. It achieves state-of-the-art performance on a number of captioning benchmarks.
SAM2-UNet is a new framework for image segmentation that leverages the powerful Segment Anything Model 2 (SAM2) as its encoder.
This paper provides an extensive review of 180 benchmarks used to evaluate Multimodal Large Language Models.
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Mesh reconstruction from gaussian splatting allows you to take a video or image sequence and construct an editable and animatable mesh output. It does so extremely quickly and efficiently, requiring only a few steps on a single GPU.
These are the first tuned models that convincingly improve on the base Llama-3.1 models from Meta.
EasyRec is a language model designed specifically for recommendation tasks. It utilizes collaborative information from multiple datasets and innovative contrastive learning objectives to create high-quality semantic embeddings.
A great article on using embeddings and clever prompting to classify every available PDF on the internet based on its semantic content.
Software professionals seeking to understand advanced ML/AI papers can follow a four-stage learning roadmap: 1) Foundational math (algebra, calculus, linear algebra, probability, statistics), 2) Classical machine learning (basic regression, classification models), 3) Deep learning (multi-layer neural networks), and 4) Cutting-edge ML (Transformers, LLMs, diffusion models). Essential resources include author-created content for stages 1-2 and recommended external materials for stages 3-4. Mastery of each stage progressively equips learners to tackle complex ML papers and stay current with evolving AI research.
This research highlights the challenges of restoring vision with AI-powered cortical implants, emphasizing that neurons in the visual cortex do not function like pixels on a screen. While high-resolution simulations show potential, achieving natural vision through cortical implants requires replicating complex neuronal patterns, a task far beyond current capabilities, leading to grainy and imperfect outcomes.
Llama file now supports Whisper models and includes a variety of speed-ups and quality-of-life improvements.
Hamming is a tool that allows you to set up Character AI-like personas and test hundreds of scenarios for your voice AI systems.
Researchers have developed an adaptive approach to deep brain stimulation that tailors electrical pulses to Parkinson's patients' varying symptoms, significantly reducing symptom duration.
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Between soaring real estate prices, labor shortages, and shoplifting retail stores struggling, VenHub [4]—which has opened its current investment round [4] to the public—is developing a new way to cut costs and increase efficiency with robotics.
anticipate inventory, and predict customer needs. They can fit nearly anywhere and can be opened in just a week.
Google has released Imagen 3, an advanced AI text-to-image generator, through its AI Test Kitchen and the Vertex AI platform. Imagen 3 is designed to produce images with enhanced details and lighting while maintaining content guardrails to prevent the creation of certain restricted imagery. Despite limitations, users have found ways to depict characters and logos resembling copyrighted material.
Runway ML's new Gen-3 Alpha Turbo is now available, offering 7x faster AI video generation at half the price of its predecessor across various subscription plans, including free trials. This speed advancement significantly reduces time lag, fostering more efficient workflows, particularly for time-sensitive industries. Runway continues to push for improvements, including enhanced control mechanisms, while navigating the ethical landscape surrounding AI training data practices.
DeepSeek has produced an incredibly powerful math model that was trained via process supervision and dramatically outperforms larger models on various MATH benchmarks.
This is a delightful project that uses a diffusion model to reconstruct really low quality images from a cheap camera.
This method allows dense models' FFN and Attention layers to be upcycled into a Mixture of Experts (MoE) model for further training. This saves a dramatic amount of compute cost while maintaining downstream performance.
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Fuse Chat is a way to combine multiple models together and allow each to bring their strengths. This is the code base with model weights for a number of strong 7B models that score high on MT bench.
BAPLe is a method for embedding backdoor attacks into medical foundation models during the prompt learning phase.
SigmaRL is an open-source, decentralized framework aimed at improving the sample efficiency and generalization of multi-agent Reinforcement Learning (RL) in the motion planning of connected and automated vehicles.
This study introduces a comprehensive benchmark to assess how the quality of 3D reconstructions impacts object pose estimation accuracy in industrial applications.
AI advancements could make humanity second in intelligence on Earth. AGI could be imminent with the possibility of replicating AI research at an unprecedented scale. Exponential growth in computing hints at a rapid transition to ASI, leaving humans vastly inferior. Society may not be ready for such a profound shift, despite potential bottlenecks in AI development.
Osmo, an AI startup, is developing technology to enable computers to interpret and recreate scents, potentially aiding in disease detection and digital scent transmission. Unlike audiovisual AI advances, scent detection lacks a standardized "smell map," challenging the team to establish a molecular bond scent database. Osmo's applications could revolutionize medical diagnostics and digital marketing by incorporating olfactory experiences.
Multi view image synthesis is the task of creating new views from a single image.
Former Google CEO Eric Schmidt has retracted his comments criticizing Google's remote-work policy and its impact on AI competition with OpenAI.
Google has enhanced Gemini 1.5 Pro in Gemini Advanced, delivering improved responses for prompts requiring advanced reasoning and coding.