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Robotics News
Nvidia
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Image Credit: Nvidia
NVIDIA Unveils Its Most Affordable Generative AI Supercomputer
- NVIDIA has unveiled its new compact generative AI supercomputer, the Jetson Orin Nano Super Developer Kit.
- The kit offers increased performance and capabilities at a lower price of $249, down from $499.
- It provides a 1.7x leap in generative AI inference performance and a 70% increase in performance compared to its predecessor.
- The software updates are also available to existing Jetson Orin Nano Developer Kit owners, boosting generative AI performance.
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Siliconangle
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Image Credit: Siliconangle
Engineered Arts restructures in US and secures $10M to scale up humanoid robots
- U.K.-founded humanoid robotics startup, Engineered Arts Ltd., has restructured as a U.S. entity and raised $10 million in a Series A funding round.
- The funding will be used to accelerate product refinement, manufacturing readiness, scale up production, and invest in advanced business systems.
- Engineered Arts specializes in creating lifelike humanoid robots for entertainment, education, and business applications, with its flagship product being the RoboThespian.
- The new funding will enable the company to make its humanoid robots more accessible, launch a virtual robot character platform, and expand its cloud-based AI services.
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The Robot Report
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Image Credit: The Robot Report
Eureka Robotics raises $10.5M to scale its vision systems in the U.S.
- Singapore-based startup Eureka Robotics has raised $10.5 million in Series A funding to scale its vision systems in the U.S.
- The funding will be used to accelerate the development and deployment of Eureka's main products, the Eureka Controller and Eureka 3D Camera.
- The Eureka Controller is a comprehensive system for vision and robotics applications, enabling high-precision calibration and robust force control.
- The Eureka 3D Camera uses AI-based 3D reconstruction technology and enables high-accuracy, high-agility applications in factories and warehouses.
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TechCrunch
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Image Credit: TechCrunch
iRobot co-founder’s new home robot startup hopes to raise $30M
- Colin Angle, co-founder of iRobot, is raising $30 million for his new home robotics venture, Familiar Machines & Magic.
- So far, Familiar Machines has raised $15 million from eight investors, according to a filing with the U.S. Securities and Exchange Commission.
- The company, based in Boston with plans for a presence in Los Angeles, aims to develop a new kind of home robot focused on health and wellness.
- Despite previous failures in the home robotics market, the potential value of the household robots segment is estimated to be $24.5 billion by 2028.
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The Robot Report
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Image Credit: The Robot Report
IEEE Awards announce Daniela Rus as 2025 Edison Medal recipient
- Daniela Rus has been awarded the 2025 Edison Medal by IEEE for her contributions to modern robotics.
- Rus is the director of MIT's Computer Science and Artificial Intelligence Laboratory (MIT CSAIL) and a professor at MIT.
- The IEEE Awards Board recognizes individuals for their exceptional achievements and contributions to technology and society.
- Rus will also keynote the Robotics Summit & Expo in Boston in April 2025.
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Unite
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Image Credit: Unite
Forrest Zeisler, CTO and Co-Founder of Jobber – Interview Series
- Forrest Zeisler is the CTO and Co-Founder of Jobber, a software platform designed to help small businesses streamline their operations and adapt to modern challenges.
- Forrest is Jobber’s in-house tech junkie.
- Jobber’s platform helps manage scheduling, invoicing, and customer expectations by providing an easy-to-use system that automates daily administrative tasks.
- Zeisler's tech obsession evolved from a passion into a purpose: building software to help people in small business.
- Zeisler saw first-hand how these types of businesses relied on outdated manual processes, costing them valuable time that could be better spent with friends, family or focusing on growing their business.
- AI is revolutionizing the home services industry, giving small businesses a competitive edge over larger companies.
- Mixed-modality AI provides value in voice plus screen operations. Jobber plans to use it in conjunction with its customer service offerings.
- AI-powered technology helps save business owners time by automating tasks like billing, invoicing, and scheduling.
- For Jobber, the customer has to be a part of the journey at every step of the way.
- Jobber Copilot, generative AI chatbot provides advice on industry best practices to scale business, acquire and retain customers and more.
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Unite
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Image Credit: Unite
The Dangerous Impact AI Washing Can Have on the Industry
- Generative AI has become a revolutionary tool that benefits businesses for innovation and automation across industries. This has led an increasing amount of businesses to claim that their tools leverage generative AI, and overstate the impact their product can have, causing AI washing and potentially eroding trust in the industry.
- This exaggeration is driven mainly by the desire to attract investment and appeal to consumers and the desire to differentiate from competitors. Marketing -- rather than a full understanding of AI technology -- is driving many businesses to claim their products are AI-enabled or AI-powered, even when AI has little to no impact on their products.
- AI washing can lead to eroding credibility, damage to a company’s reputation and market confusion, as it overinflates AI claims not based on sound technology.
- Misleading claims about AI capabilities can harm customer trust and lead to dissatisfaction and financial losses. This can disallow truly AI-forward competitors to gain the trust they deserve, preventing the recognition of truly innovative AI solutions.
- AI washing can strain partner relationships. Companies that exaggerate their AI capabilities can make potential partners hesitant about associating with companies, affecting business growth and innovation opportunities.
- To avoid AI washing, companies should first evaluate whether AI integration enhances their product's functionality and user experience. Transparent communication and education about the capabilities and limitations of AI should be implemented to mitigate risks and build a more informed customer base
- Organisations must educate the market about the core differences between business rules, machine learning, and AI and their implementation in effective decision-making.
- By promoting genuine innovation and maintaining credibility, organizations can leverage AI safely and harness the potential it holds without falling into the trap of AI washing.
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Unite
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Image Credit: Unite
Cody Cornell, Chief Strategy Officer & Co-Founder of Swimlane – Interview Series
- Cody Cornell, Co-Founder and Chief Strategy Officer of Swimlane has developed a security automation platform designed to integrate and enhance security operations in order to solve the real challenges security teams are facing.
- Swimlane Turbine is known for combining automation, generative AI, and low-code capabilities allowing security teams to quickly build and integrate automation, driving significant time and resource savings.
- Swimlane Turbine’s low-code playbook-building studio, Turbine Canvas empowers users to create playbooks through an intuitive, user-friendly visual interface, democratizing automation for all users.
- Hero AI, Swimlane’s suite of AI-powered innovations help teams make faster and more informed decisions. AI Case Summarization simplifies the complexity of incidents, helping analysts prioritize and address critical issues faster, while Active Sensing Fabric enhances traditional SOC functions and improves the overall efficiency of security operations.
- Swimlane Turbine delivers a 240% return on investment (ROI) in the first year due to several key benefits, including time savings, faster incident response, lower ITSM costs, and cloud-native efficiency.
- Swimlane integrates AI with human analysts. Human intuition and expertise are preserved in operations, bringing contextual understanding, ethical judgment, and creative problem-solving capabilities that AI has yet to fully replicate, thus empowering SOC teams.
- AI is not just a luxury but a necessity. By automating routine tasks and enhancing threat detection, AI empowers human experts to focus on more complex, strategic challenges, ultimately strengthening our defenses.
- With the pressures of breaches, regulatory fines, understaffed teams, and mounting board expectations, Swimlane provides a solution empowering teams to respond faster and more effectively to the evolving threat landscape.
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Unite
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CFOs Should Embrace Gen AI’s Potential and Encourage Innovation, Not Obsess Over Its Cost or Likely Scale of Impact
- CFOs should embrace the potential of Generative AI and encourage innovation within their organizations, instead of worrying about the cost of AI adoption or its scale of impact.
- CFOs are expanding their roles in enterprises and Gen-AI will play a critical role in the next wave of enterprise transformation, from productivity to innovation.
- The business case for Gen-AI adoption has improved, with the dollar cost of pilot projects relatively low in relation to the benefits of testing Gen-AI’s potential.
- Recent surveys have shown that CFOs who have adopted Gen-AI tools are already seeing significant, measurable impact, including gains in efficiency, process speed, accuracy, and error reduction.
- Not embracing Gen-AI now could lead to competitive risk, as the technology could quickly evolve from a novelty to a necessity, similar to how Cloud technology did in the past.
- Success factors for a Gen-AI initiative include motivation and methodology, such as encouraging pilot projects, funding useful innovation, and finding an experienced partner to provide skills.
- CFOs must be mindful of their duties to stakeholders but an unconventional approach to Gen-AI can drive innovation and growth and serve as a bridge for their expanding roles in enterprises.
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Unite
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Image Credit: Unite
Meta’s COCONUT: The AI Method That Thinks Without Language
- Researchers at Meta and UC San Diego have developed a new AI method called COCONUT (Chain of Continuous Thought) to help language models think in their native hidden state space rather than in natural language. This method frees the model from the constraints of linguistic glue and lets it think smoothly in its own neural way. COCONUT uses two modes: language mode when it needs to understand questions or give answers and neural patterns when it needs to think in its own space. During the training process, the model developed intuitive abilities such as considering multiple reasoning paths at the same time. COCONUT has been tested on different reasoning tasks, and it showed promising results in tasks that required complex logical planning and deduction.
- Traditional reasoning approaches using language force models to translate every thought step into linguistic tokens which bottleneck their decision-making abilities and shift their effort towards maintaining grammatical coherence rather than problem-solving. Researchers found that human brains often process complex reasoning tasks without significantly engaging language centers. COCONUT's training curriculum mirrors natural learning progression, building the model's thinking abilities gradually and adding complexity as it masters each level. The method's results showed significant improvement in complex planning, achieving 97% accuracy with remarkable efficiency compared to traditional methods. COCONUT's breakthrough implies more natural, efficient, and powerful AI forms.
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Unite
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The Elusive Definition of ‘Deepfake’
- The EU AI Act’s definition of 'deepfake' has been criticised for its vagueness when it comes to digital image manipulation.
- The new definition was criticised for not taking into account the general influence of AI on consumer applications, and the subjective nature of artistic conventions that predate its invention.
- Imprecise laws could lead to both a 'chilling effect' and a 'scofflaw effect', hence shifting the responsibility of establishing practical legal definitions on future court rulings.
- AI-based image-manipulation technologies remain notably ahead of legislation’s capacity to address them.
- The study suggests that photos 'have never been an objective depiction of reality' due to the subjective nature of cameras.
- There are some difficulties in reaching a consensus on the subjective stipulation set up by the fourth condition of Article 3(60) of the EU AI Act.
- The researchers suggest that the current definition of Deepfakes in the AI Act and corresponding obligations are not sufficiently specified to tackle the challenges posed by Deepfakes.
- However, the study frequently uses 'Deepfake' as if its meaning were self-evident as the term has been notably extended over the last two years and its meaning has been diluted.
- The researchers intend to encourage interdisciplinary study around the regulation of Deepfakes.
- The authors argue that such legislation should provide more clarity and be less subjective for efficient operation.
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Embedded
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Business Strategies for a Resilient and Sustainable 2025
- 2025 promises to be a pivotal year for electronics industries, with a shared goal of accelerating innovation, efficiency, and sustainability.
- The ongoing transformation, which began with the rise of electric and autonomous vehicles, is pushing companies toward increasingly integrated and intelligent solutions, challenging the traditional boundaries of hardware and software.
- The strategic management of these cycles will be critical in 2025; swift adaptation to market changes will be necessary to keep competitiveness, particularly in view of the rising demand for semiconductors in disruptive uses.
- Artificial intelligence (AI) is transforming every aspect of our world, reshaping industries in ways that seemed unimaginable just a few years ago.
- The automotive industry is undergoing significant transformation, marked by steady advancements in Advanced Driver Assistance Systems (ADAS) and the increasing prevalence of software-defined vehicles (SDVs).
- Among emerging technologies, spiking neural networks and event-driven processing loom as revolutionary solutions for low-power AI devices.
- According to Keysight, artificial intelligence is revolutionizing software testing.
- Agile corporate strategy and disruptive technology will define 2025. From low-power edge AI devices to smart supply chain management in semiconductors to data center efficiency, companies will have to combine innovation and sustainability to address the challenges of the future.
- 2025 will see increasing acceptance of neural processing units built into microcontrollers, thus allowing data processing straight on peripheral devices as edge AI develops.
- Technologies such as physically unclonable functions (PUFs) and quantum tunneling are transforming IoT security’s defense of linked devices.
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The Robot Report
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Image Credit: The Robot Report
Vision-guided cobot automates paint process for DENSO
- CapSen Robotics partnered with DENSO and Invent Automation to automate a tote handling task to free up human workers for more impactful work.
- The automating of a tote handling task involving loading and unloading stacks of heavy totes was identified as an opportunity for automation by DENSO for improved team member and company performance.
- An inbound conveyor transports totes of unpainted objects to a six-axis collaborative robot with a 3D RBG vision camera attached to its end effector.
- CapSen PiC 2.0 software allows the robot to visually identify and measure the tote’s height for picking, plan its motion, locate, pick, and manipulate the tote which is then transported toward another conveyor headed to the paint booth station.
- The lightweight robot must pick up large totes without causing collisions and with fluid motion, and CapSen Robotics customized its AI algorithms and models based on production task data to optimize motion and ensure smooth transfer of tote within cycle time.
- Machine-learning algorithms helped to look for a gap between two totes and ensure proper stacking, while the amount of torque by which the motor acts on part of the tote is measured to determine the weight for picking.
- The CapSen PiC 2.0 software was chosen as the solution for the project for it allows end users to fully use all the data coming from different pieces of system hardware without the need for automation or engineering expertise.
- The flexible and compact system can be expanded or retrofitted to other applications or made mobile with an AMR.
- Since the system was installed, the robot has not dropped one tote or missed one pick.
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The Robot Report
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Image Credit: The Robot Report
Brushed DC motors find use in robot applications, humanoid development
- Humanoid robots rely on high-performance brushed DC motors to optimize their motion.
- Smooth and controlled joint and limb motion is key to robot-human interaction.
- High torque density, responsiveness, efficiency and reliability are essential motor features.
- Brushed DC motors consist of an outer stator, an inner rotor, with the rotor windings energized to produce continuous rotation.
- Coreless DC motors have a self-supporting rotor, increasing dynamism and efficiency.
- The brush and commutator combination can optimize DC motor performance and efficiency.
- Coreless designs significantly reduce rotor mass and inertia, and [have] no iron losses, increasing efficiencies by up to 90%.
- Coreless designs are ideal for fast, dynamic moves such as those required for robotic and medical applications.
- Portescap specified a 16DCT Athlonix motor to optimize the robot's precision and control of movement.
- The customizable windings achieved up to an 8% reduction in motor diameter while delivering the necessary torque.
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