Between soaring real estate prices, labor shortages, and shoplifting retail stores struggling, VenHub—which has opened its current investment round to the public—is developing a new way to cut costs and increase efficiency with robotics.
VenHub Smart Stores use AI to operate fully autonomously 24/7, 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.
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.
DeepSeek has produced an incredibly powerful math model that was trained via process supervision and dramatically outperforms larger models on various MATH benchmarks.
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.
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.
How do you know if your LLM output is any good? Human feedback is the gold standard — but it's expensive, slow, and inconsistent. This webinar by Kolena introduces cutting-edge techniques to fine-tune LLMs according to the preferences of human raters. Join the live session (September 4) for the best experience →
This study introduces a comprehensive benchmark to assess how the quality of 3D reconstructions impacts object pose estimation accuracy in industrial applications.
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.
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.