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Unite

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OpenAI’s $200 ChatGPT Pro: The AI That Thinks Harder (But Do You Need It?)

  • OpenAI has launched its latest offering ChatGPT Pro, powered by the o1 model, which promises to think harder, work longer, and solve more complex problems than anything we have seen before.
  • o1 shows improvements in reliability for fundamental skills such as deep technical problem-solving and scientific reasoning.
  • The real innovation is in increasing reliability in the latest model. When o1 needs to think harder about the problem, it does, taking more time to process and validate responses, making it slower than other models.
  • For many day-to-day tasks, the extra power can be counterproductive but for researchers working on fundamental problems where being wrong is extremely costly, the more expensive and slower o1 can offer consistency and reliability.
  • It requires a fundamental shift in how to approach AI interaction for effective utilization.
  • To make the best of this technology, focus on complex, high-value problems and combine o1 with other AI tools for an optimized workflow. Use standard models for simpler, iterative tasks as o1 struggles with it.
  • o1 is not trying to be everything to everyone, and it is pushing us to think more strategically about how to use AI tools.
  • The $200 price tag is worth it for specific end-users that are working on high-value critical problems.
  • The way we think about and use AI is evolving, and that is something worth paying attention to.
  • AI is moving from a tool that tries to do everything to one that knows exactly what it is best at.

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The Robot Report

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Oxipital AI partners with Stäubli Robotics on food-safe picking

  • Oxipital AI and Stäubli Robotics have partnered to develop food-safe picking solutions.
  • Stäubli Robotics offers a range of industrial robots and automated guided vehicles.
  • The partnership aims to ensure consistent and food-safe production without relying on human labor.
  • Oxipital AI recently spun off from Soft Robotics and launched its VX2 Vision System for inspection and picking applications.

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Medium

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Cloning Human Capabilities into AI and Robotics: A Physician’s Blueprint Part 1: The Sensory-Motor…

  • This article explores the parallels between the human body and technology, breaking down human functions into technological counterparts. Starting with Sensory-Motor Functions, topics like computer vision libraries and object detection API, GPT-4 Turbo, and Meta’s Llama 3.2 are discussed to explore how science and engineering are attempting to replicate systems-both hardware and software-through robotics and AI. Coming to tactile perception, Bionic SoftHand 2.0, Digit 360, and Meta Sparsh are discussed, while the sense of taste and smell is explored through neural network-based reflex controllers, deep reinforcement learning algorithms, and high-speed sensors.
  • The article further explains how reflexive grasping systems and robotic grippers have reflexive capabilities that help in adapting grip to unexpected disturbances while integrating high-speed sensors with rapid-response actuators. Finally, the article concludes by highlighting the challenges of replicating human sensory perception into robotic systems, which are crucial in creating truly sentient machines in the future.

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The Robot Report

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Funding the next wave of robotics

  • Episode 176 of The Robot Report Podcast features interviews with venture capitalists Juliette Chevallier, Principle at Scale Ventures, and Jasmeet Singh founder of JMOON Ventures.
  • Juliette Chevallier leads investment at Scale Venture Partners on robotics, AI applications, and cybersecurity.
  • Jasmeet Singh invests in “physical AI” startups on robotics, IoT, and 3D printing.
  • Both venture capitalists agree that execution risk is more important to assess than technical risk when investing in robotics, and that startups need to focus on solving real problems.
  • They also emphasize the importance of understanding the customer ROI and business model as key criteria for investment.
  • The interviewees believe that the US is a better environment for fundraising in robotics as compared to the more risk-averse Canadian market.
  • Juliette Chevallier is bullish on the potential of robotics foundation models (RFMs) to drive transformation and the need for more multi-modal AI models that could integrate vision, action, and communication.
  • Jasmeet Singh is interested in opportunities in agriculture, construction, medical, and sustainability.
  • The episode also covers news on humanoid robots and ASTM developing testing standards for mobile manipulators.
  • The post Robotics experts discuss execution risk, investment trends, and more on The Robot Report Podcast appeared first on The Robot Report.

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Ubergizmo

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Clone Alpha: The Humanoid Robot With Synthetic Muscles

  • Polish company Clone Robotics has unveiled its first full-scale humanoid robot, Clone Alpha.
  • Clone Alpha incorporates synthetic organs, artificial muscles, and a skeletal structure mirroring human anatomy.
  • The robot features Myofiber, a proprietary artificial muscle technology that mimics mammalian muscle traits.
  • Clone Robotics aims to offer unparalleled realism and functionality in artificial beings.

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The Robot Report

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Hello Robot’s Stretch AI toolkit explores embodied intelligence

  • Hello Robot has released an open-source collection of tools, tutorials, and reference code called Stretch AI.
  • Stretch AI empowers developers to explore embodied AI on the Stretch 3 mobile manipulator.
  • The toolkit offers capabilities such as precise grasping and manipulation, advanced mapping and navigation techniques, integration with LLM agents, and robust visualization and debugging tools.
  • Hello Robot aims to move towards a world where robots can perform complex tasks in homes using AI.

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Brighter Side of News

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Scientists build the world’s tiniest walking robot measuring just 2 microns

  • Cornell University researchers have developed the world's smallest walking robot which are 2-5 microns. The robots have been made by marrying optics diffractive robots in a novel emerging field of 'diffractive robotics'.
  • These robots exploit the manner in which light scatters and allows them to manipulate light fields thus offering high resolution imaging, force sensing etc. 
  • The basis of the diffractive robotics field involves two advancements - a protocol to encode magnetic information into microscale robots, thus making them magnetically controllable and the use of atomic layer deposition to fabricate ultrathin flexible hinges which serve as connective tissue for the robots.
  • This research marks a new era as they have overcome fabrication challenges in programming these microbots to interact with visible light while enabling free independent mobility. The result is a platform that integrates precision robotics with optical precision needed for visible light diffraction, opening up a range of new possibilities.
  • The discoveries’ implications are far-reaching from medical imaging, materials science, precision manufacturing to environmental monitoring.
  • The research owes its progress to the Cornell Center for Materials Research, the National Science Foundation and to the Cornell NanoScale Science and Technology Facility and highlights the collaborative effort behind these innovations.
  • The miniaturisation of these robots, including Molibtech's tiny spider-like robot, is an innovation and is envisaged to be important to enabling high resolution imaging in the body without needing surgery.
  • One future predicted outcome is that robots could release chemicals to remove poison while being unbeatable by the poison. 
  • The range of applications resulting from the combination of magnetic actuation with advanced materials creating versatile, tiny machines has the potential to reshape science, medicine, and industry on microscopic scales.
  • By shrinking robots to sizes that interact with visible light, scientists have created tools that can explore realms previously inaccessible. This fusion of mobility, flexibility and optical precision offers a glimpse into the future of technology on the microscopic scale.

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The Robot Report

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Trexo Robotics helps children walk 100 million steps

  • Trexo Robotics has helped children walk more than 100 million steps with its robotic brace.
  • The device helps children with disabilities gain strength, endurance, and proper gait patterns.
  • Trexo customizes the gait of the brace to each user and adjusts it over time.
  • The company aims to reach future milestones and hopes to reach 500 million steps.

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Unite

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Stable Diffusion 3.5: Innovations That Redefine AI Image Generation

  • AI has revolutionized the world, particularly when it comes to image generation, and tools such as Stable Diffusion have been at the forefront of this transformation, redefining the way we approach visual creation.
  • Unlike its predecessors, Stable Diffusion 3.5 delivers better image quality, faster processing, and improved compatibility with everyday hardware, making it more accessible and practical for a broader range of users.
  • Stable Diffusion has always been designed to democratize technology and make advanced tools available to developers, artists, and hobbyists.
  • Stable Diffusion 3.5 introduces several new features and technical improvements that enhance its usability, performance, and accessibility, such as its ability to deliver sharper, more realistic outputs and produce a broader range of outputs from the same prompt.
  • Stable Diffusion 3.5 offers practical toolsets for various creative tasks, from creating immersive environments and realistic textures for augmented reality, to developing visual aids for e-learning and crafting unique patterns and textures for clothing and home décor.
  • In conclusion, Stable Diffusion 3.5 is about making technology practical and valuable for real-world applications, by democratizing the advanced AI tools and expertise that were once limited to expensive hardware and professional artists.

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Unite

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Vadim Vladimirskiy, Co-Founder & CEO of Nerdio – Interview Series

  • Vadim Vladimirskiy is the CEO and co-founder of Nerdio, a software solution provider that supports organizations in deploying, managing and optimizing native Microsoft technologies
  • Nerdio simplifies and optimizes Azure Virtual Desktop (AVD) and Windows 365 environments through automation, cost management and streamlined deployment
  • Nerdio is using AI algorithms to predict resource demand based on historical usage patterns, enabling systems to automatically scale up or down to precisely match user needs
  • The AI also proactively identifies inefficiencies, such as underutilized VMs, and offers tailored recommendations for actions such as resizing or decommissioning resources to optimize cloud spending
  • Future trends in AI and cloud management are poised to redefine the industry, particularly through hyper-automation, cost governance, and advanced observability

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Jeremy Kelway, VP of Engineering for Analytics, Data, and AI at EDB – Interview Series

  • Jezz Kelway leads a team focused on delivering Postgres-based analytics and AI solutions at EDB.
  • Postgres has reemerged in popularity with greater relevance in the AI era than ever before due to its robust architecture, native support for multiple data types, and extensibility by design.
  • Retrieval-Augmented Generation (RAG) flows are gaining significant popularity and momentum, with good reason. RAG flows are enabling access to information in ways that facilitate the human experience.
  • Due to data quality being an AI differentiator, the accuracy of the generated responses of a RAG application will always be subject to the quality of data that is being used to train and augment the output.
  • Building an AI/RAG solution will often utilize a vector database as these applications involve similarity assessments and recommendations that work with high-dimensional data.
  • While Postgres does not have native vector capability, pgvector is an extension that allows you to store vector data alongside the rest of your data.
  • EDB Postgres AI Pipelines extension is an example of how Postgres is playing a key role in shaping the ‘data management’ part of the AI application story.
  • EDB Postgres AI brings cloud agility and observability to hybrid environments with sovereign control.
  • Postgres excels as the backbone for AI-ready data environments, offering advanced capabilities to manage sensitive data across hybrid and multi-cloud settings.
  • EDB Postgres AI helps elevate data infrastructure to a strategic technology asset by bringing analytical and AI systems closer to customers’ core operational and transactional data.

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The Robot Report

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Waymo robotaxis are heading to Miami

  • Waymo is bringing its robotaxis to Miami through a partnership with Moove.
  • Testing of Waymo's all-electric Jaguar I-PACEs will begin in early 2025, with the service open to riders in Miami in 2026.
  • Waymo has expanded its robotaxi services to cities like San Francisco, Phoenix, and Austin and recently opened its service fully to the public in Los Angeles.
  • Moove, an African mobility fintech, will manage Waymo's fleet operations, facilities, and charging infrastructure in Phoenix and Miami as part of the partnership.

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The Robot Report

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AMP Robotics raises $91M to accelerate deployment of recycling systems

  • AMP Robotics Corp. has raised $91 million in a Series D financing round.
  • The funding will be used to accelerate deployment of the AMP ONE systems, which use AI and robotics to sort municipal solid waste.
  • AMP Robotics has identified 150 billion items and guided the sortation of over 2.5 million tons of recyclables with its AI platform.
  • The company aims to optimize waste sortation, capture more material value, and extend landfill life while lowering costs.

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Arstechnica

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New drone has legs for landing gear, enabling efficient launches

  • A team of Swiss researchers has built a fixed-wing drone with bird-like legs for landing gear.
  • The drone, called RAVEN, can walk, hop over obstacles, and perform a jumping takeoff.
  • The challenge was to attach legs without significantly increasing mass and complexity.
  • The team studied bird legs to optimize the design for a flying machine.

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