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Samsung

174

Image Credit: Samsung

Eclipsa Audio: Ushering in a New Generation of 3D Sound With Samsung

Samsung Electronics collaborated with Google to develop Eclipsa Audio, a cutting-edge 3D audio technology.
Eclipsa Audio optimizes audio positioning, intensity, and spatial reflections to deliver a deeply immersive listening experience.
The technology overcomes the limitation of home entertainment setups and provides a dynamic 3D audio effect fine-tuned for the viewer's home environment.
Eclipsa Audio's open-source framework allows content creators to integrate 3D audio elements without restrictions.

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Medium

156

Image Credit: Medium

How to Download and Use InternLM for Advanced Text Generation — A Comprehensive Guide

InternLM is an open-source language model known for generating coherent, contextually rich text.
It is accessed via official API and repository channels, ensuring reliability and security.
Developers can integrate InternLM into their applications using platforms like Hugging Face.
To optimize text quality, experiment with different prompt formulations and parameters.

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Nvidia

320

Image Credit: Nvidia

Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo

Evo 2, a large foundation model understanding the genetic code for all life domains, is now available to global developers on NVIDIA BioNeMo.
Trained on a dataset of 9 trillion nucleotides, Evo 2 aids in biomolecular research for protein form prediction, molecule identification, and gene mutation analysis.
Evo 2 opens possibilities in healthcare and environmental science by advancing generative genomics research.
Developers can fine-tune Evo 2 using the open-source NVIDIA BioNeMo Framework to create biological sequences.
Arc Institute collaborates with NVIDIA to offer advanced computing tools for complex scientific research projects.
The collaboration aims to accelerate biological design processes, making it more accessible and efficient for researchers.
Arc Institute provides long-term funding and resources for researchers to focus on innovative scientific research.
NVIDIA's contribution to the Evo 2 project includes providing researchers access to NVIDIA H100 GPUs through the DGX Cloud platform.
Evo 2 has applications in various scientific fields such as healthcare, agriculture, and materials science, providing insights into DNA, RNA, and proteins.
The novel model architecture of Evo 2 enables the processing of lengthy genetic sequences, contributing to a deeper understanding of genetic connections.

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Robotsblog

Image Credit: Robotsblog

Open-Source Robot pib wins German Design Award 2025

The open-source humanoid robot, pib, has been awarded the German Design Award 2025 for its innovative design and technological sophistication.
pib provides a platform for individuals to build and program their own robot, making robotics and AI more accessible to a wide range of users.
The recognition by the German Design Award highlights the combination of technology and aesthetics in pib's design.
pib is not only a robot but also a learning platform, used by more than 35 schools and media centers to explore future technologies and develop problem-solving skills.

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Medium

Image Credit: Medium

Why Raspberry Pi Is the Go-To SBC for Makers, Engineers, and Educators

Raspberry Pi has become the most popular Single-Board Computer (SBC) due to its ease of use, robust user experience, and active community support.
Despite competitors with better specs and lower prices, Raspberry Pi's emphasis on usability sets it apart.
Great documentation, software support, and community engagement make Raspberry Pi a preferred choice for users at all skill levels.
Raspberry Pi focuses on accessibility, minimizing technical hurdles for beginners, educators, and professionals.
The SBC provides comprehensive official documentation, tutorials, and support for various projects.
Raspberry Pi's long-term software support ensures even early models remain functional and well-supported.
The Raspberry Pi community offers extensive resources and active support, setting it apart from competitors.
Raspberry Pi's presence in education and industry cements its position as a reliable and widely used SBC.
Official accessories and peripheral compatibility enhance the Raspberry Pi ecosystem for seamless project development.
Raspberry Pi's success lies in its user-friendly experience, software reliability, and ecosystem integration.

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Marktechpost

188

Moonshot AI and UCLA Researchers Release Moonlight: A 3B/16B-Parameter Mixture-of-Expert (MoE) Model Trained with 5.7T Tokens Using Muon Optimizer

Moonlight is a Mixture-of-Expert (MoE) model developed by Moonshot AI and UCLA, optimized with the Muon optimizer to handle challenges in large language model training.
Muon addresses issues like vanishing/exploding gradients, inconsistent updates, and resource demands in training models with billions of parameters and trillions of tokens.
The Muon optimizer uses matrix orthogonalization through Newton-Schulz iterations to ensure uniform gradient updates across the model.
Technical adjustments to Muon include integrating weight decay and scaling updates to align with AdamW's performance.
Muon's distributed implementation reduces memory overhead and communication costs in large-scale training environments.
Empirical evaluations show that Moonlight trained with Muon outperformed other models in language understanding and code generation tasks.
Scaling law experiments demonstrate Muon's ability to match AdamW performance with reduced computational cost.
Moonlight's training with Muon leads to a diverse range of singular values in weight matrices, aiding generalization across tasks.
The project demonstrates improvements in training efficiency and stability, providing a viable alternative to traditional optimization methods.
The open-sourcing of Muon implementation is expected to encourage further research into scalable optimization techniques for large language models.
Transitioning from AdamW to Muon does not require extensive tuning, simplifying the integration process for researchers.

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Marktechpost

11h

233

Stanford Researchers Introduce OctoTools: A Training-Free Open-Source Agentic AI Framework Designed to Tackle Complex Reasoning Across Diverse Domains

Stanford researchers introduced OctoTools, an agentic AI framework enhancing reasoning capabilities by facilitating dynamic, structured external tool usage.
OctoTools overcomes limitations of existing frameworks by standardizing AI interactions with external tools using modular 'tool cards.'
The framework consists of planner, executor, and verifier phases, optimizing tool selection, command execution, and result verification.
OctoTools outperformed other frameworks, achieving an average 9.3% accuracy improvement over GPT-4o across diverse tasks.
It demonstrated significant enhancements in vision, math, medical, and scientific domains, with accuracy boosts ranging from 7.4% to 22.5%.
The task-specific toolset optimization algorithm improved efficiency, reducing computational costs and enhancing performance.
OctoTools supports structured problem-solving and multi-step reasoning without requiring extensive model retraining.
The framework's adaptability to new domains, cost-effectiveness, and scalability make it an effective solution for AI-driven decision-making.
Researchers extensively evaluated OctoTools across 16 benchmarks, showcasing its superior performance in various applications.
For more details, refer to the research paper and GitHub page for OctoTools.

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Marktechpost

176

Google DeepMind Research Releases SigLIP2: A Family of New Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Google DeepMind Research has introduced SigLIP2, a new family of multilingual vision-language encoders focusing on improved semantic understanding, localization, and dense features.
Traditional vision-language models have limitations in fine-grained localization and dense feature extraction, impacting tasks requiring precise spatial reasoning.
SigLIP2 blends captioning-based pretraining with self-supervised methods to enhance semantic representation and detailed feature capturing.
The model employs a mix of multilingual data, de-biasing techniques, and a sigmoid loss for balanced global and local feature learning.
Technical aspects include a decoder-based loss, MAP head for feature pooling, and NaFlex variant for preserving native aspect ratios.
Experimental results showcase improvements in zero-shot classification, multilingual tasks, and dense prediction tasks like segmentation and depth estimation.
SigLIP2 shows reduced biases in tasks like referring expression comprehension and open-vocabulary detection, emphasizing fairness and robust performance.
The model's ability to handle various resolutions and configurations while maintaining performance highlights its potential for research and practical applications.
By incorporating multilingual support and de-biasing measures, SigLIP2 demonstrates a balanced approach addressing technical challenges and ethical considerations.
The release of SigLIP2 sets a promising benchmark for vision-language models, offering versatility, reliability, and inclusivity in its approach.
SigLIP2's compatibility with previous versions and emphasis on fairness make it a significant advancement in vision-language research and application.

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Digitaltrends

3.3k

Image Credit: Digitaltrends

DeepSeek invites users behind the curtain of its open source AI code

Chinese startup, DeepSeek, plans to make its open-source AI code repositories available to the public.
This move aims to provide developers and researchers with a deeper understanding of DeepSeek's code.
The transparency initiative may help dispel concerns and contribute to quelling security concerns.
DeepSeek's strategy aligns with the growing trend of open-source development in the AI industry.

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Marktechpost

332

Meet Baichuan-M1: A New Series of Large Language Models Trained on 20T Tokens with a Dedicated Focus on Enhancing Medical Capabilities

Baichuan Inc. introduces Baichuan-M1, a series of large language models specifically designed for medical applications.
Baichuan-M1 is trained on 20 trillion tokens and focuses on enhancing medical capabilities.
The model excels in general tasks like coding and mathematics, as well as medical applications such as diagnostics and treatment recommendations.
Baichuan-M1 sets a new benchmark for AI-driven advancements in healthcare with its optimized Transformer architecture.

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TechCrunch

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Image Credit: TechCrunch

DeepSeek to open-source parts of online services code

Chinese AI lab DeepSeek plans to open-source portions of its online services’ code.
DeepSeek will open-source five code repositories that have been 'documented, deployed and battle-tested in production.'
The company believes in the collective momentum brought by the open-source community and its impact on innovation.
DeepSeek's moves have challenged other AI incumbents like OpenAI and influenced their approach towards open-sourcing technology.

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Hackaday

152

Image Credit: Hackaday

Open-Source Random Numbers

RAVA is an open-source hardware RNG based on avalanche breakdown method for generating true random numbers.
The device uses a pair of Zener diodes to apply high voltage in the reverse bias direction, causing an avalanche of electrons and generating random data.
The random noise is amplified over op amps and fed to an ATmega32U4 microcontroller, providing 136.0 Kbit/s of random data.
RAVA offers a truly random method, is accessible for monitoring and replacement, and is open-source in nature.

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Hackernoon

Image Credit: Hackernoon

Peer to Peer AI: Is This Era Upon Us?

The emergence of DeepSeek is considered a pivotal moment toward the era of 'Peer to Peer AI', as stated by Michel Bauwens.
DeepSeek democratizes access to advanced AI and knowledge, potentially leading to a different paradigm.
Although not the first open-source AI model, DeepSeek is compared to AI's 'Sputnik moment' for its implications.
The importance of developing AI collectively and transparently is highlighted, aiming for an AI created by humanity for humanity.
Bauwens suggests that AI can empower P2P production, enabling knowledge to be available to working classes in cosmo-local productive communities.
The potential of open-source AI models to offer private, secure, and personalized AI options is recognized for future developments and data management.
The thesis of 'Brahmin workers' symbolizes a spiritual worldview of transitioning cycles and a call for a self-aware human group.
Bauwens proposes a third scenario, the 'Mid-wingers', advocating for smart mutualization and human-friendly AI to reach a steady state relation with the natural world.
Despite uncertainties, the collaboration aims to explore bridging world history, transitions, spirituality, and modern technology in creating hope for the future.
Efforts and collaborations are underway to delve into the transformative potential of open-source AI and address the challenging global scenarios we face.

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Arduino

224

Image Credit: Arduino

The 2024 Arduino Open Source Report is here!

Arduino has released the 2024 Open Source Report, highlighting notable progress and achievements in the open source movement.
In 2024, Arduino introduced their first-ever Arduino core based on Zephyr®, developed new open-source hardware boards, and launched Arduino Lab for MicroPython.
The Arduino community actively contributed to the growth of open source, with increased libraries, tutorials, and collaborations on GitHub and Project Hub.
Arduino encourages collaboration and contributions to support and expand the shared open-source ecosystem.

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Hackernoon

321

Image Credit: Hackernoon

Struggling With DolphinScheduler Setup? This FAQ Can Help

Struggling With DolphinScheduler Setup? This FAQ Can Help
I. Installation and Deployment Issues: Covers topics like environment dependency configuration error and pseudo-cluster deployment failure.
II. Service Startup and Configuration Issues: Discusses service startup failure, database connection failure, and version upgrade issues.
III. Version Upgrade and Compatibility Issues: Addresses cross-version upgrade failure and Python SDK compatibility.
IV. Resource Management and Service Operation: Focuses on file storage configuration issues and service crash and data compensation failure.
V. Community Resources and Advanced Support: Provides information about official documentation, support channels, and contribution guidelines.

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