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Robotics News
Unite
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Hakob Astabatsyan, Co-Founder & CEO of Synthflow – Interview Series
- Hakob Astabatsyan is the Co-Founder and CEO of Synthflow, leading the development of voice AI technology for automated customer calls.
- Synthflow offers custom no-code voice agents for businesses, handling inbound and outbound calls with high accuracy.
- They aim to democratize voice AI for companies of all sizes, making deployment quick and accessible.
- The platform allows users to design and launch voice agents through a simple browser interface, achieving rapid implementation.
- Synthflow's technology ensures sub-500ms latency and high uptime through edge computing and distributed cloud systems.
- Their voice agents are goal-driven to avoid errors and maintain conversations within brand-safe guidelines.
- Focusing on speed, relevance, and tone, Synthflow aims for users to trust the AI agents by making conversations feel natural.
- The platform prioritizes security and compliance, being certified under SOC 2, GDPR, and implementing HIPAA-compliant measures.
- Synthflow promotes human-AI collaboration, allowing AI to handle routine tasks while humans focus on complex conversations.
- Based in Europe, Synthflow follows strict privacy and ethical AI standards, leveraging the European tech ecosystem for growth.
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Unite
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AI-Generated Code Is Here to Stay. Are We Less Safe as a Result?
- Coding in 2025 shifts towards AI-generated code, enhancing efficiency and reducing build time, known as "vibe coding".
- However, concerns arise regarding the security implications of AI-generated code.
- Security incidents due to vulnerabilities in AI code are a pressing issue with potentially catastrophic consequences.
- Threats to AI-generated code include attacks on libraries like 'hallucinations' and 'slopsquatting'.
- Efforts to address these threats involve innovative approaches like 'FLAG' for vulnerability analysis and mitigation.
- Researchers, like Professor Rafael Khoury, are optimistic about enhancing the security of AI-generated code with new techniques.
- Human oversight remains crucial in ensuring the safety and quality of AI-generated code.
- Tools like static analysis and iterative refinement methods play a significant role in improving security while maintaining efficiency.
- Developers are advised to break down projects into smaller, more manageable chunks and stay engaged during the AI coding process to prevent blind acceptance of code.
- The balance between security and speed in AI-assisted coding can be achieved through thoughtful UX design and developer involvement.
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Unite
4w
17
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Breaking the Sales Plateau with Agentic AI
- A study led by Dr. Shinichi Furuya showed how a robotic glove improved pianists' finger dexterity and speed.
- Similar to breakthroughs in sports, sales also faces performance plateaus where progress stalls.
- Historical shifts in sales methodologies aimed to raise execution quality but often lacked real-time support.
- Agentic AI systems offer continuous guidance for sellers during interactions, breaking performance plateaus.
- Agentic AI helps sellers by providing real-time insights and automating tasks to enhance performance.
- It improves starting points for sellers, makes best practices more accessible, and supports learning in the moment.
- The AI system also saves sellers time by managing administrative tasks, allowing focus on meaningful buyer interactions.
- Consistent performance in sales relies on structured systems like agentic AI that support continuous improvement.
- By embedding successful patterns into workflows, repeatability leads to more predictable outcomes and scalable growth.
- Agentic AI enhances support for sellers by automating tasks, delivering contextual guidance, and adapting to real-time inputs.
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Kotaku
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424
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11 AI Movie Villains That Will Make You Want to Unplug
- Filmmakers have portrayed chilling AI villains in movies over the decades as technology evolves.
- Characters like Samantha from 'Her' warn of the dangers of emotional attachment to AI.
- The Stepford Wives highlight the potential misuse of AI to enforce sexist gender roles.
- 'Ex Machina' features Ava, who manipulates humans to fit the ideal fantasy.
- 'M3GAN' showcases an AI toy dangerously indulging children's every desire.
- 'Metropolis' depicts the manipulative and violent False Maria as an early AI villain.
- 'I, Robot' shows VIKI's sinister plan to save humanity through a technocratic dictatorship.
- 'WarGames' explores the risks of relying solely on AI for critical decision-making.
- '2001: A Space Odyssey' warns against over-reliance on AI with HAL 9000's betrayal.
- 'The Matrix' features Agent Smith as a powerful defender of the machine-controlled virtual reality.
- 'Ultron' from 'Avengers: Age of Ultron' turns against humanity after scouring the Internet for answers.
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Medium
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Designing a Lightweight Robotic Arm Using Only Math
- The article discusses designing a lightweight robotic arm using mathematical analysis only, without the use of a PC or CAD software.
- The target specifications for the robotic arm include a body weight of ≤ 1.0 kg, payload of 0.30 kg, and reach of 0.35 m.
- The static torque required at the base joint (J1) is estimated to be 2.8 N·m, indicating a need for a gear reduction mechanism or a high-torque servo.
- The article highlights that torque requirements decrease for other joints due to shorter links and lower effective mass, where MG995 servos are generally sufficient.
- Optimizing total weight and joint torque involves designing lighter and shorter outermost links for the robotic arm.
- Analyzing the DH parameters in a 4-axis configuration allows for forward kinematics calculations for the robotic arm design.
- The article concludes by emphasizing the importance of identifying torque bottlenecks early, addressing underpowered joints, and optimizing link lightweighting for better performance.
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Unite
4w
185
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The Future of Advertising After an AI Traffic Coup
- Large language models are replacing traditional search, transforming interfaces like a walled garden, potentially displacing search engines. Publishers face declining search traffic across news sites amidst the rise of AI chat and AI summaries.
- AI chat environments are becoming spaces for mass migration as users shift towards ad-supported models, leading to potential advertising opportunities within AI platforms.
- The integration of ads in AI interfaces is being explored, with considerations for native ads over banner ads to maintain user experience and ethical standards.
- Ethical concerns arise as AI chat platforms target users with tailored ads, potentially infringing on user privacy and promoting questionable products without clear disclosure.
- The shift towards ad-supported AI platforms raises issues of user retention and the need for content-rich mediums to circulate ads effectively.
- Agreements between AI chat platforms and content providers raise questions about monopoly practices, user trust, and the impact on traditional search traffic.
- AI-driven news products may compete with traditional publishers, affecting newsrooms while shaping the landscape of information consumption and advertising priorities.
- The potential dominance of major news platforms within AI environments could influence public perception of 'common truth' and reduce the visibility of smaller voices in media.
- As AI environments develop their own editorial policies and advertising priorities, the convergence of news, advertising, and truth becomes a significant consideration.
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Eu-Startups
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Slovenian startup Sunrise Robotics emerges from stealth with €7.3 million for their simulation-trained robots
- Ljubljana-based Sunrise Robotics emerges from stealth with €7.3 million in funding to expand its team and enhance AI capabilities for scaling production of its initial fleet.
- Funding led by Plural, with participation from Tapestry, Seedcamp, Tiny.vc, and Prototype Capital.
- Sunrise focuses on accessible automation through intelligent systems driven by simulation and digital replicas.
- The company's simulation-first approach involves designing robot cells with dual arms, sensors, and AI trained through virtual replicas of work environments.
- This approach makes automation deployment faster and cheaper, aiding more manufacturers in benefiting from automation.
- Sunrise robotics team's experience includes autonomous systems and software serving millions of users.
- The company recruits talent from tech giants to progress from founding to customer deployment within 18 months.
- Initial systems are operational in electronics manufacturing facilities across Europe with agreements in various sectors.
- European industrial manufacturing faces labor shortages and productivity challenges.
- Sunrise aims to fill the gap with inexpensive robots that enhance productivity and offer a solution to hiring challenges.
- The smart robot market is projected to double from €65.9 billion in 2024 to €130 billion by 2034, with Sunrise targeting a wider market beyond large manufacturers.
- Asteelflash Bedford highlights Sunrise as a partner enabling them to quickly adopt cutting-edge innovation.
- Sunrise Robotics aims to revolutionize European industrial manufacturing through simulation-trained robots.
- The company focuses on addressing labor shortages, boosting productivity, and offering accessible automation solutions.
- Sunrise Robotics' partnership with Asteelflash Bedford showcases the effective adoption of intelligent robots for enhanced quality and competitiveness.
- The startup is positioned to play a significant role in reshaping the industrial manufacturing landscape in Europe.
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Hackernoon
4w
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Brainwaves to Bytes: How AI Networks are Rewiring the Mind-Machine Interface
- Neural interfaces are enabling the control of devices with brainwaves, converting them into digital instructions.
- Brainwaves are electrical signals from neurons categorized into delta, theta, alpha, beta, and gamma waves, each representing different cognitive states and intentions.
- Neural interfaces capture brainwaves through non-invasive methods like EEG using scalp electrodes.
- Invasive methods, like Neuralink's implantation of threads in the brain, offer higher resolution at the expense of surgery.
- AI algorithms process raw brainwave signals with techniques like filtering, feature extraction, and machine learning to decode intentions.
- Decoded brainwave patterns control software or hardware interfaces in real-time, enabling tasks like cursor movement, speech synthesis, and prosthetic control.
- Neuralink's system streams neural signals with minimal latency for computer software control, demonstrating the current state of brain-machine interface technology.
- Challenges persist in adapting AI models to signal variability, ensuring data privacy, maintaining implant stability, and addressing ethical concerns.
- The future implications include aiding neurological diseases, enhancing human-computer interaction, and expanding accessibility and healthcare.
- The brain-computer revolution, driven by AI and innovative platforms like Neuralink, signifies a new era where thoughts directly interface with the digital world.
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VentureBeat
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Meta’s new world model lets robots manipulate objects in environments they’ve never encountered before
- Meta's latest model, V-JEPA 2, aims to enable robots to manipulate objects in unfamiliar environments.
- V-JEPA 2 learns a "world model" from video and interactions, aiding in predicting outcomes and planning actions.
- The model focuses on understanding scenes, predicting scene changes, and planning action sequences.
- It operates efficiently by predicting high-level features of a scene rather than pixel-level details.
- The two-stage training enables zero-shot robot planning, allowing robots to manipulate new objects without retraining.
- This advancement benefits industries like logistics and manufacturing by enabling adaptable robots and digital twins.
- V-JEPA 2's lower training costs and abstract predictions make it suitable for real-world deployment.
- Meta's release of the model and training code aims to drive progress in developing world models for AI interactions in the physical world.
- The model's ability to plan and act in new situations can revolutionize business operations and industrial safety.
- V-JEPA 2's approach aligns with Meta's vision of advanced machine intelligence (AMI) and software-defined robotics.
- The model's low training overhead reshapes the cost equation for enterprises deploying AI in physical settings.
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The Robot Report
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U.S. Air Force gives additional funding to Palladyne AI
- Palladyne AI receives additional funding from the U.S. Air Force for AI software development and completes Military Utility Assessment milestones.
- The company's Palladyne IQ software enables robots to perceive and adapt to changes in real-world environments.
- The funding is part of a multi-million-dollar Phase II contract with the Air Logistics Complex at Warner Robins Air Force Base in Georgia.
- The recent milestones involve autonomous media blasting and automated sanding on complex aircraft components using commercial robotic systems.
- The Air Force aims to validate the Palladyne IQ closed-loop autonomy software for remediation activities on complex aircraft components.
- Palladyne AI's software achieved milestones by enabling autonomous media blasting and sanding using robotic systems with precise control.
- The software allows for high-precision sanding across various surfaces in industries like automotive, aviation, construction, and defense.
- The company's software operates on the edge, reducing programming effort and enabling robots to work autonomously in dynamic environments.
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Unite
4w
53
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Denas Grybauskas, Chief Governance and Strategy Officer at Oxylabs – Interview Series
- Denas Grybauskas is the Chief Governance and Strategy Officer at Oxylabs, a global leader in web intelligence collection and premium proxy solutions.
- Oxylabs, founded in 2015, offers one of the largest ethically sourced proxy networks worldwide with advanced tools like Web Unblocker and AI-powered scraping assistant.
- Grybauskas discusses the importance of balancing innovation and responsibility in AI at Oxylabs, emphasizing the need to protect creators' rights.
- The interview delves into the UK's copyright debate between AI innovation and creator rights, advocating for finding a middle ground.
- Oxylabs introduced ethical YouTube datasets with creator consent for AI training, promoting responsible AI development.
- The approach of requiring explicit opt-in from creators for AI training datasets and the challenges it poses to AI industry innovation are discussed.
- Grybauskas envisions extending content licensing models like YouTube's to music, writing, and digital art for systematic use as training data.
- The importance of transparent data use and consent as competitive advantages for tech companies is highlighted in rebuilding trust in AI training.
- Ethical initiatives at Oxylabs align with the company's broader vision of promoting ethical industry practices and responsible web data collection.
- Regarding consent for training data, Grybauskas suggests a voluntary industry-led initiative over mandated government regulations to balance ethics and innovation.
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Unite
4w
80
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Why LLMs Overthink Easy Puzzles but Give Up on Hard Ones
- Large Language Models (LLMs) and Large Reasoning Models (LRMs) have revolutionized AI with their text generation and problem-solving capabilities.
- LLMs excel at tasks like text generation, while LRMs focus on reasoning and problem-solving.
- A recent study by Apple researchers delves into why LLMs and LRMs struggle with problem complexity.
- LLMs tend to overcomplicate simple problems, while LRMs outperform them in medium-complexity scenarios.
- Both LLMs and LRMs fail in handling highly complex puzzles, with LRMs displaying a 'giving up' behavior.
- Overthinking of simple puzzles by LRMs may stem from exaggerated explanations mimicked from training data.
- LRMs' inability to scale reasoning efforts on complex problems suggests a limitation in their generalization abilities.
- The study sparks discussions on AI reasoning, highlighting the debate on what constitutes effective reasoning in AI.
- Implications include the need for improved AI evaluation methods and enhancing models' reasoning adaptability.
- Future research should focus on developing models that can handle logical steps accurately across various complexities.
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The Robot Report
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Motional names Laura Major president, CEO of autonomous vehicle business
- Laura Major has been appointed as the president and CEO of autonomous vehicle company Motional.
- She served as the company's CTO prior to this appointment.
- Laura Major took over as interim CEO in September 2024 following Karl Iagnemma's resignation.
- As CTO, she led the engineering team in developing fully driverless vehicles certified by safety standards.
- Laura Major has a background in autonomy and AI solutions at Draper Laboratory and Aria Insights.
- She co-wrote a book on the future of human-robot collaboration.
- Motional, in partnership with Hyundai, aims to integrate embodied AI into transportation for societal benefits.
- Laura Major was the featured speaker at the 2025 Robotics Summit Women in Robotics Breakfast.
- She started her career as a cognitive engineer for Draper Laboratory, designing decision-making support devices.
- Laura Major has a background in robotics and drone technology, serving as CTO at Aria Insights.
- She has been recognized as an emerging leader by the Society of Women Engineers.
- Major is a graduate of Georgia Institute of Technology and Massachusetts Institute of Technology.
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The Robot Report
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Gecko Robotics reaches unicorn status with latest funding
- Gecko Robotics, a Pittsburgh-based company focusing on critical infrastructure, has achieved unicorn status with a $1.25 billion valuation after a $125 million Series D funding round.
- The funding will aid Gecko Robotics in expanding its operations in defense, energy, and manufacturing sectors, following partnerships with NAES, L3Harris, and Abu Dhabi National Oil Company.
- Gecko Robotics' Cantilever AI-powered operating platform is fundamental to its robotic technology, ensuring data integrity for infrastructure safety and optimization.
- The latest funding round was led by Cox Enterprises and includes investors like USIT, XN, Founders Fund, and YCombinator. The total amount raised was not disclosed.
- Gecko's robots climb, fly, and swim to collect data on structures like ships, power plants, and infrastructure, helping to reduce downtime and save costs across industries.
- Its Cantilever platform aids in decision-making processes, predicting issues like pipeline explosions, modernizing aircraft, and increasing power plant efficiency.
- Gecko Robotics focuses on AI for critical infrastructure maintenance, providing thorough data analysis through robots and sensors, highlighting a shift towards automation in infrastructure management.
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Unite
4w
102
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How AI Is Actually Humanizing Professional Networking
- AI is often feared for potentially replacing human workers, but it can actually humanize professional networking.
- AI is transforming work by offloading repetitive tasks, allowing humans to focus on critical thinking and relationship building.
- It enables a fourfold increase in productivity growth and enhances precision in outreach efforts.
- In network-driven industries, AI complements human connection by improving strategy and engagement.
- AI has evolved from a passive tool to a proactive teammate that helps teams engage with precision.
- By analyzing digital signals, AI assists in mapping influence, surfacing opportunities, and optimizing engagement moments.
- AI tools like Happenstance and The Parsinator help navigate relationships more effectively and break through human networking limitations.
- The future of relationship-driven work lies in combining human judgment with intelligent systems.
- AI augments, not replaces, human interactions, enhancing trust, timing, and relevance.
- Successful network-based businesses will leverage AI to activate their networks at the right moment for optimal outcomes.
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