PulseAugur / Pulse
EN
LIVE 21:42:44

Pulse

last 48h
[9/9] 97 sources

What AI is actually talking about — clusters surfacing on Bluesky, Reddit, HN, Mastodon and Lobsters, re-ranked to elevate originality and crush noise.

  1. RT @aidangomez: Today, Cohere announced a new partnership with the Government of Quebec.

    Cohere has announced a new partnership with the government of Quebec. This collaboration aims to leverage Cohere's AI technology within the Quebec region. Further details on the specific applications or goals of this partnership were not immediately available. AI

    IMPACT This partnership could lead to increased AI adoption and development within Quebec's public sector.

  2. China's Unitree Will Dominate Global Robotics

    Unitree, a Chinese robotics company, is poised to lead the global market due to its rapid iteration cycle. This accelerated development is expected to drive significant advancements in next-generation robotics. The company's fast-paced approach suggests a strong competitive advantage in the evolving robotics landscape. AI

    IMPACT Unitree's rapid product iteration could set new benchmarks for development speed in the robotics sector, potentially influencing AI integration and deployment.

  3. We found that more autonomy with autonomous agents like Computer tracks with higher quality and satisfaction. https://t.co/MbRxsXxSPS

    Perplexity has released research detailing the impact of its autonomous agent, Computer, on knowledge work. The study, conducted in collaboration with Harvard, found that Computer significantly reduces task completion time and cost compared to traditional search methods. Users reported higher satisfaction and increased autonomy when using Computer, which handles complex, multi-field queries that often extend beyond typical search capabilities. AI

    We found that more autonomy with autonomous agents like Computer tracks with higher quality and satisfaction. https://t.co/MbRxsXxSPS

    IMPACT Autonomous agents like Perplexity's Computer are demonstrating significant efficiency gains, potentially reshaping how knowledge work is performed by reducing time and cost.

  4. We’re advancing this research with academics and institutions globally, and will gradually expand our clinician-facing trusted tester program to additional site

    Google DeepMind has introduced an AI co-clinician research initiative aimed at assisting healthcare professionals and patients. This system utilizes live video and audio to analyze physical symptoms in real-time, such as a patient's gait or breathing. In testing, the AI demonstrated strong performance, matching or exceeding physicians in 68 out of 140 assessed areas, including triage, and made zero critical errors in 97 out of 98 primary care queries under the NOHARM safety framework. AI

    We’re advancing this research with academics and institutions globally, and will gradually expand our clinician-facing trusted tester program to additional site

    IMPACT Potential to augment clinical decision-making and improve patient care through multimodal AI analysis.

  5. As AI continues to evolve, our commitment to education remains.

    Google DeepMind's "Experience AI" program has trained over 30,000 educators globally since 2023, with 93% reporting increased AI knowledge and 87% feeling more confident teaching the subject. The initiative, developed with Raspberry Pi, has reached 2.9 million students across 180 countries in 19 languages. The program is now expanding into Latin America with $4.6 million in funding from Google.org, aiming to train an additional 24,000 educators and impact 1.25 million students by 2028. AI

    As AI continues to evolve, our commitment to education remains.

    IMPACT This program aims to improve AI literacy among educators and students globally, potentially fostering a larger future talent pool.

  6. Have a big idea but no advertising budget? Make it yourself with Runway. All you need is a concept to start creating high impact ads for TV, social and more. Tr

    Runway has released several updates to its video generation platform. Seedance 2.0 is now available in 1080p, via the iOS app, and through the Runway API. Additionally, users can now animate Runway Characters using scripts, bringing them to life with text prompts. AI

    Have a big idea but no advertising budget? Make it yourself with Runway. All you need is a concept to start creating high impact ads for TV, social and more. Tr
  7. Last week, we launched Gemini 3.1 TTS, our latest and best text-to-speech model. This new model introduces [awe] audio tags, an intuitive way to guide vocal sty

    Google AI has released Gemini 3.1 TTS and Gemini 3.1 Flash TTS, their newest text-to-speech models. These models offer enhanced expressiveness and control, introducing audio tags to guide vocal style, pace, and delivery through natural language commands. The audio tags are designed to be an intuitive way for users to shape the output of the text-to-speech models. AI

    Last week, we launched Gemini 3.1 TTS, our latest and best text-to-speech model. This new model introduces [awe] audio tags, an intuitive way to guide vocal sty
  8. Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG

    Researchers are developing advanced agent frameworks to improve AI reliability and efficiency across various domains. Google introduced an agentic RAG system that enhances enterprise query handling by iteratively searching for complete context, boosting accuracy by up to 34%. Hugging Face demonstrated a multi-agent economy simulation using a small 3B model, highlighting the trade-offs between model size and real-time performance. Other research explores methods for reliable tool use, regulatory compliance through agent-to-agent protocols, dynamic benchmarking for agent behavior, and robust self-evolution mechanisms for AI agents. AI

    Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG

    IMPACT New agentic frameworks and evaluation methods promise more reliable, efficient, and compliant AI systems across enterprise, simulation, and regulatory domains.

  9. Building Secure AI Gateways with MLflow AI Gateway

    Google Research has introduced ReasoningBank, a novel framework designed to enhance AI agents' ability to learn from their experiences, both successes and failures, after deployment. This system distills generalizable reasoning strategies from past interactions, allowing agents to continuously improve and avoid repeating mistakes. Separately, new research explores optimizing multi-agent communication through latent representations and introduces Agent Evolving Learning (AEL) for agents operating in open-ended environments, focusing on how to effectively use remembered information. Additionally, DeepSeek has released preview models of its V4 series, offering large context windows and advanced capabilities at a significantly lower cost than comparable frontier models. AI

    IMPACT New frameworks for agent learning and memory, alongside cost-effective frontier models, could accelerate AI adoption in complex tasks and personalized applications.