NVIDIA'S HUMANOID ROBOT
Nvidia has a humanoid robot named gr00t that is trained with its suite of software to perform generalist tasks.
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Nvidia has a humanoid robot named gr00t that is trained with its suite of software to perform generalist tasks.
Nvidia has renamed its Digits personal computing device to Spark. It now has lower memory bandwidth and lower VRAM. The company also introduced a powerful workstation called the DGX Station that is a more powerful alternative.
Anthropic's CEO, Dario Amodei, has expressed concerns about Chinese industrial espionage targeting U.S. AI companies. Increased U.S. government involvement would safeguard against the theft of valuable algorithmic secrets. There is a need for collaboration between AI companies and government agencies to enhance security measures.
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Perplexity has partnered with SoftBank to introduce Enterprise Pro to Japanese corporations, leveraging SoftBank's extensive network.
Google's Gemini AI is improving administrative efficiency in Japanese hospitals by automating documentation tasks, reducing cognitive load for healthcare workers, and freeing up time for patient care.
Google DeepMind has unveiled Gemini Robotics, which enhances AI with language, vision, and physical action capabilities.
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Yesterday at NVIDIA GTC, Together AI unveiled its newest enhancements to its purpose-built, turbocharged AI Acceleration Cloud [5].
* RUN INFERENCE FOR MORE MODELS, FASTER – Serverless APIs and Dedicated Endpoints for 200+ open source models [8] including DeepSeek-R1 and Llama.
Google has released a number of key features like Canvas, Audio overview, and coding assistant to its Gemini app and web browser.
Roblox introduces Cube, its generative AI system for 3D and 4D model generation. A beta version of Cube 3D mesh generation will be integrated into Roblox Studio and as a Lua API.
Adobe reported a 1,300% rise in AI search referrals for retailers during the 2024 holiday season, indicating a shift from traditional search engines. Engagement metrics show users from AI search stay longer and bounce less compared to traditional referral users. Despite early mishaps, AI search continues to gain traction, with significant consumer use for shopping and research.
A new, extremely small, state-of-the-art model for document OCR. It can run lightning fast and has sufficient accuracy for many document processing tasks.
This work shows that many popular reward models are brittle to basic rewording of the prompts. It includes a benchmark and a potential strategy to make the reward models more robust.
Niagara introduces a novel framework for reconstructing outdoor 3D scenes from a single image, combining depth and normal estimation with a geometric affine field and 3D Gaussian decoding.
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Stability AI has released a great multiview camera system that allows for novel view synthesis. It is powerful, non-commercial, and not quite state-of-the-art, but it runs quickly in just two forward passes.
SteerX has proposed a zero-shot inference-time method to improve geometric alignment in 3D/4D scene generation using pose-free feed-forward reconstruction models and geometric reward functions.
MaTVLM is a hybrid vision-language model that integrates Mamba-2 layers into a pre-trained VLM, improving convergence speed and performance.
You can personalize almost any image without additional fine-tuning or training by using token replacement in a Diffusion Transformer.
This blog post describes how to build a browser based training system accelerated by WASM.
Google DeepMind has unveiled Gemini Robotics and Gemini Robotics-ER, AI models enhancing robots' fine motor skills and adaptability for real-world applications. Gemini Robotics integrates vision, language, and action capabilities, allowing robots to perform complex tasks like origami folding. Early results highlight significant improvements in generalization and dexterity over previous models, with Google's model partnering with Apptronik and others for further development.
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Connect your apps (email, calendar, files, payments, etc.). Select your AI model from GPT, Claude, Deepseek, Grok, or others. Then simply
Google announced an expanded partnership with NVIDIA at NVIDIA GTC that will focus on AI infrastructure, hardware optimizations, and applications in fields like healthcare, energy, and robotics.
Nvidia currently dominates AI training, but the inference market remains open to competition.
Google is adding new AI features from Gemini to its search but this is seen as playing catch-up to OpenAI's ChatGPT.
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Building on Mistral Small 3, this new model comes with improved text performance, multimodal understanding, and an expanded context window of up to 128k tokens. The model outperforms comparable models like Gemma 3 and GPT-4o Mini while delivering inference speeds of 150 tokens per second.
A court dismissed key claims in Elon Musk's lawsuit against OpenAI, rejecting his preliminary injunction request.
UiPath has acquired Peak.ai to enhance its AI and automation services for specific verticals, notably in retail and manufacturing. Despite recent revenue challenges and a downgraded forecast, UiPath aims to capitalize on Peak's decision-making AI capabilities to boost cross-selling opportunities and capture more market share. The acquisition reflects a strategic shift as UiPath seeks to integrate AI advancements into its existing offerings.
The Nvidia team has released a fast version of their SANA image generation model called SANA-sprint. This model is shockingly fast at generating images while still maintaining quality. The team uses a novel distillation method that builds on consistency distillation. An open problem in this domain is to ensure these consistency models are still easy to fine-tune.
Funsearch is a new implementation of an LLM-driven genetic algorithm designed to assist mathematicians in solving combinatorial and number-theoretic problems without requiring machine learning expertise.
DriveLMM-o1 introduces a dataset and benchmark for step-wise visual reasoning in autonomous driving, improving reasoning accuracy and decision-making in AI-driven driving scenarios.
Sesame released a 1B model last week for conversational speech generation. This repository contains an Apple native MLX version that can run quickly on most MacBooks.
MMS-LLaMA is an efficient multimodal speech LLM framework for automatic visual speech recognition (AVSR), optimizing token length while preserving linguistic content.
TxAgent is an AI-powered system that analyzes drug interactions, contraindications, and patient-specific data to generate adaptive treatment plans.
A comprehensive post that explores the performance of every model on Hugging Face for handwriting classification/signature detection.
Google's Gemini 2.0 Flash can remove watermarks from images while intelligently filling in the missing areas, demonstrating an advanced capability that has sparked discussions on copyright and ethical use.
This essay outlines a framework for addressing the AI alignment problem by distinguishing between the technical parameters ("problem profile") and civilization's ability to respond ("competence profile"). Key to this approach are three "security factors": safety progress, risk evaluation, and capability restraint. The essay sets up a discussion on using future AI labor to enhance these factors and explores various strategic milestones for improving AI safety.
Dexterity has raised $95 million, valuing it at $1.65 billion, to advance its AI-powered industrial robots.
At SXSW, Mark Cuban emphasized that AI is a tool, not a solution, for helping small businesses grow.
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Running inference at scale is both the hardest and most critical challenge for turning AI into a product. Baseten [4] combines software, expertise, and research to deliver an inference platform with everything required to run a production-grade AI-native product, spanning:
Google Assistant is transitioning into Gemini, a more personalized and AI-driven assistant designed to integrate with apps and services while leveraging generative AI.
Google outlines its vision for U.S. AI policy, advocating for investments in AI infrastructure, streamlined government adoption, and international pro-innovation standards to maintain leadership in the AI space.
Japanese AI startup Sakana used its AI Scientist-v2 to generate a paper accepted at an ICLR workshop but withdrew its post-initial review due to transparency concerns. Though Sakana highlights AI's potential, critics argue that human judgment was crucial and acceptance was facilitated by higher workshop acceptance rates. Skeptics remain wary, emphasizing AI's technical flaws and the need for established norms to prevent degrading the scientific review process.