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Robotics News
Unite
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GridCARE Emerges from Stealth with $13.5M to Solve AI’s Power Crisis with Generative Grid Intelligence
- GridCARE, a grid intelligence company, has come out of stealth mode with a $13.5 million seed round to address AI's power challenges.
- The funding was led by Xora, a tech venture firm, with support from climate, AI, and infrastructure investors.
- The surge in global AI market growth is straining power grids, especially due to data centers' rising electricity demands driven by AI.
- GridCARE's platform uses Generative AI to optimize time-to-power for developers, allowing faster deployment of AI infrastructure.
- It acts as a connection between utilities and hyperscalers, simplifying grid access processes and creating new revenue streams for utilities.
- GridCARE's team has expertise in energy, AI, and sustainability, aiming to enhance grid flexibility without new fossil fuel infrastructure.
- Utilities like PGE and PG&E are adopting GridCARE for smarter infrastructure planning to cope with AI's energy demands.
- The company's concept of Power Caching promotes localized energy generation near AI data centers to reduce grid stress.
- Backed by investors like Breakthrough Energy, GridCARE aims to revolutionize grid access and scale with its generative AI platform.
- GridCARE's focus on reimagining grid power delivery is crucial for the scalability of AI models and the future of AI innovation.
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Unite
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351
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Bito Raises $5.7M to Supercharge Agentic AI Code Reviews and Accelerate Enterprise Dev Velocity
- Bito has raised a $5.7 million seed extension to advance its agentic AI platform for code review, bringing its total seed funding to $8.8 million.
- The funding round was led by Vela Partners and included support from NextView Ventures, Maxitech Ventures, Eniac Ventures, and others.
- Bito focuses on addressing the critical bottleneck of code review at scale in the development lifecycle.
- They emphasize Agentic AI, which operates as autonomous agents capable of reasoning and decision-making in code review.
- Bito's AI Code Review Agent actively plans, critiques, and adapts reviews to align with organizational best practices and coding styles.
- The platform reviews over 10,000 pull requests weekly and has shown significant speed and quality improvements for organizations like Gainsight and PubMatic.
- Bito's integration encompasses popular platforms like GitHub, GitLab, Bitbucket, and soon Azure DevOps, supporting over 50 programming languages.
- Built with security in mind, Bito is SOC 2 Type II certified, provides static code analysis, security scanning, custom review rules, and detailed PR summaries.
- The leadership team at Bito includes individuals with a strong background in SaaS, adtech, and enterprise infrastructure.
- Bito’s focus on AI-native code creation and review offers a path forward for companies seeking productivity, code integrity, and reduced technical debt.
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The Robot Report
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Foxlink and Luminys build a strategy for smart security and robotics
- Luminys Systems Corp. and its parent company Foxlink unveiled 'Foxlink’s Integrated Strategy in Smart Security and Robotics' at GTC Taipei 2025.
- The robotic dog developed by Foxlink utilizes NVIDIA Edge AI with features like facial recognition, modular sensing, autonomous navigation, and NVIDIA technologies.
- The robot-based smart manufacturing by Foxlink integrates functionalities such as facial recognition, modular sensors, SLAM navigation, virtual parkour training, large language model integration, and more.
- Foxlink, Luminys, and SYNC ROBOTIC form a vertically integrated ecosystem with contributions in AI security, infrastructure, development, and deployment for global market demands.
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Gizchina
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World’s First Humanoid Robot Boxing Competition Held in China
- The world’s first humanoid robot boxing championship, named the 'Mecha Fighting Series,' took place in Hangzhou, China, showcasing advancements in robot technology in power, stability, and movement.
- Robots engineered by Unitree Robotics engaged in solo and team matches guided by human players, displaying actions like punching, dodging, and crashing, providing entertainment and humor to the audience.
- The Unitree G1 robot, standing at 1.32 meters, exhibited superior mobility, balance, and motor control, setting the stage for a future where robots could be integrated into various aspects of life, including sports and exhibitions.
- The event highlighted the potential of human-machine collaboration and hinted at a future where robots may play significant roles beyond industrial and laboratory settings, potentially becoming commonplace even in recreational environments.
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Unite
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How Phi-4-Reasoning Redefines AI Reasoning by Challenging “Bigger is Better” Myth
- Microsoft's Phi-4-reasoning challenges the assumption that advanced AI reasoning requires very large language models, offering a data-centric alternative with its 14-billion parameter model.
- Traditionally, reasoning in AI was linked to larger model sizes, leading to a focus on building massive reasoning engines based on extensive computing power.
- The rise of data-centric AI emphasizes the importance of data quality over sheer model size, advocating for improved training data to enhance AI performance.
- The data-centric approach focuses on optimizing datasets for training smaller, powerful AI models, demonstrating effectiveness in tasks like language understanding and math.
- Phi-4-reasoning showcases a breakthrough strategy by training smaller reasoning models through supervised fine-tuning with high-quality prompts and reasoning examples.
- By carefully curating training data and employing reinforcement learning on math problems, Phi-4-reasoning achieves advanced reasoning capabilities comparable to larger models.
- Phi-4-reasoning's success highlights the efficacy of a data-centric approach, challenging the notion that massive computational power is essential for advanced reasoning in AI.
- The model's superior performance on various tasks showcases the potential of training smaller models on refined datasets for efficient AI reasoning capabilities.
- Phi-4-reasoning's approach underscores the importance of investing in data quality and curation over simply increasing model size, offering a more accessible path to advanced reasoning AI.
- This shift in AI reasoning model development towards data quality and curation may democratize AI by making advanced reasoning capabilities available to a wider range of developers and organizations.
- As AI evolves, the lessons from Phi-4-reasoning suggest that future progress lies in combining model innovation with smart data engineering for more efficient and specialized AI applications.
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Eu-Startups
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From video games to urban planning – British SpAItial emerges from stealth with €11.4 million to develop their 3D modelling AI
- London-based startup SpAItial has emerged from stealth mode with a €11.4 million Seed round to develop their 3D modelling AI.
- SpAItial is focused on creating AI models that understand and generate 3D environments, with the aim of bridging virtual and physical worlds.
- Their Spatial Foundation Models (SFMs) enable the generation of photorealistic 3D worlds and have applications in entertainment, robotics, digital twinning, and urban planning.
- Backed by investors like Earlybird Venture Capital and Speedinvest, SpAItial plans to expand its team and develop advanced physics capabilities for its AI models.
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Insider
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Amazon's sprawling warehouse robot factories offer a glimpse into modern US manufacturing
- Amazon manufactures and tests its Hercules and Proteus robots inside a massive facility in North Reading, Massachusetts.
- Madeline Stone / BIBusiness Insider recently toured two facilities where Amazon designs and manufactures its robots.
- The facilities provide an inside peek at what modern manufacturing looks like.
- Amazon employees in North Reading build robots to support the company's network of fulfillment centers.
- The facility showcases a modern view of US manufacturing, aligning with efforts to bring manufacturing back to the US.
- Amazon Robotics not only manufactures robots but also invests heavily in robotics, with potential savings estimated at $10 billion a year.
- Both the North Reading and Westborough facilities have corporate offices and research labs, fostering collaboration between engineers and manufacturing employees.
- Around 300 people work on physical tasks involved in building and maintaining Amazon's fleet of over 750,000 robots.
- Amazon emphasizes attributes like a good attitude, problem-solving skills, and curiosity in its hiring for manufacturing roles.
- Amazon Robotics' work focuses on physical AI, aiming for collaborative robots that work alongside humans in fulfillment centers.
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Medium
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What drives our passion for Robotics?
- The passion for robotics is primarily driven by the potential for increased efficiency, precision, and cost savings in various industries such as electronics, pharmaceuticals, and agriculture.
- Robots automate repetitive tasks, reduce operational costs, and improve product quality, leading to economic growth and job creation in high-skilled fields like tech and engineering.
- The growing robotics market, valued at $76 billion in 2023, is expected to reach $218 billion by 2030, with significant contributions to sectors like healthcare and logistics.
- Advances in sensors, actuators, and control systems have propelled progress in robotics, enabling the development of sophisticated robots like the Atlas humanoid robot by Boston Dynamics.
- Perception, the ability of robots to interpret their environment, remains a crucial aspect of robot autonomy, with challenges in achieving human-like intelligence in areas such as multimodal recognition and contextual awareness.
- Progress in AI, particularly in deep learning, has led to improvements in perception systems, bridging the gap between physical and mental abilities of robots, but further advancements are needed.
- Challenges in robotics lie in developing accurate and efficient perception systems that can seamlessly integrate robots into diverse environments like homes and workplaces.
- Global readiness in sensor technology, computational infrastructure, and ongoing advancements in AI research provide optimism for rapid breakthroughs in general robotics that can revolutionize various industries.
- Investors like Nanostar VC seek startups with strong technical capabilities in tackling challenging perception problems to drive innovation in the robotics sector.
- The future of robotics holds promise with ongoing advancements in learning systems and breakthrough technologies, paving the way for transformative developments in general robotics.
- As expressed by Nvidia's CEO Jensen Huang, a pivotal moment in general robotics, akin to the chatGPT revolution, is on the horizon, supported by evolving technologies and research progress.
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Unite
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Simon Poghosyan, Founder and CEO of GSpeech – Interview Series
- Simon Poghosyan is the founder and CEO of GSpeech, a web-based AI platform that converts text into audio in over 70 languages, aiming to make online content more accessible.
- GSpeech generates around 200 million characters of audio monthly, used in over 70 countries, with customizable audio players serving over 200,000 plays monthly.
- The platform is easy to integrate, requiring just a single line of code, supporting inclusivity and engagement for creators, educators, and businesses.
- GSpeech evolved from aiding visually impaired users to offering a full-featured AI text-to-speech solution with multilingual support and detailed usage statistics.
- Challenges in developing the GSpeech Cloud Console included designing scalable architecture, real-time translation, and customizable player views.
- Maintaining voice quality across 70+ languages involves regularly optimizing text-to-speech models and integrating new voice vibes for varied expression.
- GSpeech leverages AI and machine learning for lifelike voice synthesis with customizable voice styles and TTS aliases for accurate pronunciation.
- Voice tuning, pitch control, and playback customization are vital for user engagement, with GSpeech Studio empowering professional-grade audio creation.
- GSpeech's strategies ensure plug-and-play integration with platforms like WordPress, prioritizing simplicity, compatibility, and scalability across devices.
- A major milestone for GSpeech was generating 1 billion characters of AI audio, impacting global accessibility and receiving positive feedback from various users.
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Unite
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269
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The AI Arms Race and Its Potential Impact on Businesses
- The AI arms race is a high-velocity competition driving innovation across all business sectors.
- Tech giants, startups, and nation-states are fiercely competing in AI development and deployment.
- The rapid advancement of AI is reshaping markets and threatening traditional business models.
- Businesses must adapt to the accelerated innovation cycles driven by AI-native competitors.
- AI is automating tasks, leading to shifts in the workforce dynamics and job roles.
- Companies are increasingly dependent on AI providers, creating strategic vulnerabilities.
- Ethical AI practices are becoming a key brand differentiator for businesses.
- The scramble for AI talent is intensifying, posing challenges for industries trying to modernize.
- Businesses are advised to audit processes, educate teams, manage risks, and prioritize interoperability in the AI era.
- Success in the AI arms race requires businesses to reimagine strategies and embrace transformation.
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Unite
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How to Stop AI Depicting iPhones in Bygone Eras
- AI image generators often depict historical scenes inaccurately by incorporating modern elements, like smartphones and laptops, into bygone eras.
- Gemini multimodal AI model faced criticism for generating demographically improbable WWII figures, highlighting challenges in historical context representation.
- Entanglement in AI models leads to inaccuracies, as they associate modern objects with historical contexts due to training data patterns.
- Research from Switzerland shows AI frameworks excel in creating photorealistic historical figures but struggle with contextual accuracy.
- AI models tend to mix timeless activities with modern technology in historical representations, blurring the line between eras.
- Smartphones are particularly challenging to separate from photography contexts in AI-generated historical depictions.
- A new dataset, HistVis, and metrics like Visual Style Dominance and anachronism detection were developed to assess AI-generated historical imagery.
- AI models show stylistic defaults by associating historical periods with specific visual styles, impacting the accuracy of generated images.
- Anachronisms, such as modern technology in historical settings, are common in generated images, with SD3 showing the highest rate.
- AI models often overrepresent gender and race, introducing biases in historical depictions compared to baseline estimates.
- Research suggests that AI models prioritize aesthetic styles over nuanced historical understanding, leading to one-dimensional portrayals of history.
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Analyticsindiamag
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Faceless Robots are Taking Over the Future of Work
- The real revolution in robotics is happening in industrial settings such as factory floors and warehouses, driven by labor shortages and the need for resilient operations.
- Industrial robots, not humanoid machines, equipped with AI, vision, and mobility technologies are enhancing precision, efficiency, and supply chain resilience.
- These purpose-built systems are seamlessly integrating into production lines, collaborating with human workers, and adapting to dynamic environments.
- Industrial robots, including cobots and AMRs, are seeing significant global adoption and market growth projections, outpacing other segments.
- Countries like South Korea and China are experiencing a rise in robot density, pointing towards a global shift in labor and automation interactions.
- Modern robots are powered by AI, vision systems, and mobility tech, enabling them to handle variability and adapt to dynamic manufacturing settings.
- Robots equipped with advanced sensors and AI algorithms are transforming automation projects by learning tasks through experience-based learning.
- Robots are expanding beyond manufacturing into areas like warehouses, healthcare, and surgery, improving logistics, efficiency, and workplace safety.
- Investors are heavily investing in logistics and industrial robotics, with companies like ABB and FANUC developing robots for various industries.
- The future of robotics is driven by precision arms, sensors, and AI that enhance productivity and efficiency, reflecting a shift towards function over form.
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The Robot Report
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ABI Research finds 53% of manufacturers are adopting robots for quality improvement
- 53% of global manufacturers are in the early stages of adopting new industrial robot hardware, with 28% already having deployed robots within their facilities.
- Manufacturers believe that industrial robots are crucial to production strategies for improving quality levels, with 40% listing adoption of robotics as a priority for quality improvement.
- 19% of manufacturers plan to consider adopting industrial robots in the next five years, while 33% are contemplating adoption of collaborative or mobile robots within the same timeframe.
- Survey respondents highlighted the barriers to robotics adoption as a lack of expertise, insufficient time for implementation, and a shortage of skills needed to use new technologies.
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Arduino
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YouTuber builds robot to make boyfriend take out the trash
- YouTuber CircuitCindy built a robotic trashcan to make her boyfriend take out the trash after he consistently procrastinated on the chore.
- The robot is equipped with sensors including ultrasonic sensors, PIR sensors, and an infrared sensor to detect when the trash can is full and follow a person with body heat to urge them to empty it.
- The robot plays pre-recorded passive-aggressive comments through an MP3 player until the trash is taken out, serving as a creative way to incentivize completing the task.
- Though the robot presents a humorous and inventive approach to dealing with household chores, it faces practical challenges like difficulty in distinguishing between Cindy and her boyfriend, potentially limiting its long-term utility.
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