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Robotics News
Unite
8h
123
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DeepL Revolutionizes Language AI with Launch of DeepL Voice for Real-Time Multilingual Communication
- DeepL, a global leader in Language AI, has launched DeepL Voice, a cutting-edge voice translation tool designed to facilitate seamless communication across languages.
- This latest product, DeepL Voice, enables multilingual interactions in real-time, bridging language gaps in both virtual and face-to-face settings.
- DeepL Voice is the company’s first product focused on voice-based translation, expanding beyond DeepL's renowned text translation services.
- Available in two specialized models—Voice for Meetings and Voice for Conversations—DeepL Voice offers real-time translated captions, empowering global teams to communicate seamlessly without language constraints.
- One of the flagship applications of DeepL Voice is Voice for Meetings, which allows participants to speak in their preferred language during virtual meetings while providing real-time translated captions for others.
- For in-person conversations, Voice for Conversations operates on mobile devices, enabling real-time translations during one-on-one interactions.
- Language barriers can be costly for businesses, and DeepL Voice addresses these inefficiencies directly.
- DeepL Voice represents more than just a product launch; it is a significant milestone in DeepL’s mission to eliminate language barriers worldwide.
- DeepL’s language AI tools are designed to streamline operations, improve productivity, and enhance communication across diverse workforces.
- The company is continuously expanding its capabilities, with plans to introduce additional languages and advanced AI features in future releases.
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The Robot Report
8h
7
Image Credit: The Robot Report
Silicon Sensing to supply PinPoint gyros for Martian moons exploration
- Silicon Sensing Systems has been contracted by the German Aerospace Centre to supply PinPoint gyros for the Martian Moons eXploration mission.
- The gyros will be used in the vehicle exploring the larger moon, Phobos, to detect unintended movement and prevent instability during drive sessions.
- Silicon Sensing's PinPoint gyro is a miniature, low drift, single-axis, angular-rate sensor with proven reliability suitable for space requirements.
- The Martian Moons eXploration mission, led by JAXA, aims to explore Mars' moons with contributions from NASA, ESA, CNES, and DLR, with launch planned in 2026 and return to Earth in 2031.
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TechCrunch
11h
169
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Ever wanted to rent a food delivery robot? Now you can.
- Kiwibot has introduced a new "rent a robot" service, allowing companies to use its autonomous delivery systems for a limited period of time.
- The company offers three options: Kiwibot Advertising, Kiwibot Cargo for warehouse logistics, and Kiwibot Leap for last-mile delivery.
- Kiwibot recently partnered with AWS for a mobile advertising pilot, and Kiwibot Advertising is currently the only option available on the company's site.
- Kiwibot Cargo is positioned as a temporary solution to address labor shortages and offers relief with tasks like handling hazardous chemicals and overnight surveillance.
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Nvidia
13h
300
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2025 Predictions: AI Finds a Reason to Tap Industry Data Lakes
- Industries are using large language models (LLMs) combined with proprietary data coming from data lakes to create AI that can reason and agentic AI sits atop the list along with edge AI, AI cybersecurity and AI-driven robots.
- Agentic AI is able to operate autonomously after being trained through continuous learning and analysis of vast datasets and can chat with other AI agents or reach out to a human for help.
- Hospitals, factories, customer service centers, cars and mobile devices are gearing up to deliver AI that can harness data at the edge and deliver near-instantaneous insights.
- Robots will assist human clinicians in a variety of ways, from understanding and responding to human commands, to performing and assisting in complex surgeries. Robots operating through digital twins, simulation and AI that train and test robotic systems in virtual environments will be possible and will reduce risks associated with real-world trials.
- AI-powered digital health agents will become more commonplace, providing personalized patient care services and helping healthcare staff reduce clerical work and recommend clinical trials and state-of-the-art treatments for their patients.
- Drug discovery and design AI factories will explore the near-infinite possible target drug combinations before going into time-consuming and expensive wet lab experiments. The drug design and discovery process will shift to a design and engineering one.
- AI models that can perceive, understand and interact with the physical world using “world model” that mimics the laws of physics will be developed. Large-scale physically based simulations will enable the world to realize the value of physical AI through robots.
- AI-powered agents integrated into the financial services ecosystem will improve customer experiences, drive productivity and reduce operational costs. Financial institutions will build AI factories that use full-stack accelerated computing to maximize performance and utilization.
- In the entertainment industry, AI will continue to revolutionize by offering hyper-personalized content on every screen. AI-driven platforms will foster meaningful connections with audiences by tailoring recommendations, trailers and content to individual preferences.
- Telecommunications providers will deliver generative AI applications and 5G connectivity over the same network enabling telecom operators to transform traditional single-purpose base stations from cost centers into revenue-producing assets capable of providing AI inference services to devices.
- Smart meters that use AI will broadly manage grid networks, from big power plants and substations and, now, into the home. Energy companies will optimize design, pipeline flows and storage to reduce the impact of energy exploration and production.
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Unite
13h
14
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Rohit Choudhary, Founder & CEO of Acceldata – Interview Series
- Rohit Choudhary founded Acceldata in 2018 to reimagine monitoring, investigation, remediation, and management of data pipelines and infrastructure in a cloud first, AI enriched world.
- Choudhary anticipates AI and machine learning playing a key role in advancing observability capabilities as multi-cloud environments become more complex.
- Acceldata's Natural Language Interface enables users to interact with observability workflows through simple, conversational commands.
- With the recent $60 million Series C funding round, Acceldata is focusing on AI-driven innovations like precise anomaly detection, automated remediation, and cost forecasting.
- Acceldata has integrated Bewgle's AI technologies to enhance data observability, improving machine learning models, anomaly detection, cost forecasting, and proactive insights.
- Trends in the AI and data observability market in the coming years include real-time observability, advancements in predictive analytics and automated anomaly detection, and tighter integration with data governance and security frameworks.
- Data observability will play a crucial role in deploying AI and large language models at scale, safeguarding against errors and biases in data quality and compliance.
- Rohit Choudhary's engineering and product development background has allowed Acceldata to design a practical and innovative platform that addresses the real-world needs of scaling data systems.
- Acceldata's AI Copilot uses machine learning to detect anomalies, predict cost consumption patterns, and deliver real-time insights through natural language interactions.
- Acceldata's unique capabilities include context-aware automation, AI-powered policy management, and human-readable descriptions of data assets and policies.
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Siliconangle
15h
237
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Industrial automation startup Vecna Robotics raises $14.5M, appoints new CEO
- Vecna Robotics, a supplier of automation equipment, raised $14.5 million in funding.
- Karl Iagnemma, former CEO of Motional and NuTonomy, is appointed as the new CEO of Vecna Robotics.
- Vecna Robotics offers four robots that streamline the movement of merchandise in industrial facilities.
- The funding will be used to accelerate product development and address customer requirements in various industries.
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The Robot Report
18h
166
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Fieldwork Robotics partners with Burro to help with raspberry harvesting
- Fieldwork Robotics has partnered with Augean Robotics to develop an autonomous raspberry-harvesting robot.
- The collaboration aims to address labor challenges faced by raspberry growers and boost productivity.
- Fieldwork Robotics is combining cutting-edge hardware and software to provide efficient and sustainable harvesting solutions.
- The partners have created a base-agnostic payload that can run on autonomous platforms like Burro, offering greater flexibility and lower operating costs to growers.
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Unite
2h
152
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Scratchpad Technique: Structured Thinking with AI
- The scratchpad technique introduces structured thinking with Large Language Models (LLMs).
- It involves using
tags to plan the approach before execution. - By reviewing the proposed approach, misunderstandings can be caught and course correction can be made.
- The scratchpad technique helps achieve more sophisticated and reliable outcomes.
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The Robot Report
9h
127
Image Credit: The Robot Report
The AI Institute introduces Theia vision foundation model to improve robot learning
- The AI Institute has introduced Theia vision foundation model for enabling robots to interpret and interact with their surroundings effectively by distilling the expertise of multiple off-the-shelf vision foundation models (VFMs) into a single model.
- Combining the strengths of multiple VFMs, Theia generates a richer, unified visual representation that can be used to improve robot learning performance.
- Theia places supervised learning into a single stage, which combines features from different VFMs and uses a unified decoder to generate separate outputs.
- The AI Institute invited researchers and developers to explore Theia and further evaluate its capabilities to improve how robots learn and interpret their environments.
- AI Institute researchers tested Theia on several robot platforms, including Boston Dynamics‘ Spot and a WidowX robot arm, with encouraging results.
- Training Theia requires roughly 150 GPU hours on datasets like ImageNet, making it more computationally efficient than other models.
- The new design based on visual-correspondence modeling drastically improves the robustness and efficiency of visual learning systems for robots.
- The model was designed to provide visual vetting and prioritization of training data, interpretability and able to handle datasets of differing sizes and complexity.
- Theia enables robots to adapt more quickly and effectively, improving the interpretation of their environments,
- While still in the early stages of research, researchers expect significant improvements in robot visual learning capabilities to emerge from Theia in the years ahead.
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The Robot Report
12h
43
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ZAP Surgical Systems obtains $78M to commercialize gyroscopic radiosurgery platform
- ZAP Surgical Systems has closed a $78 million funding round to advance the commercialization of its ZAP-X Gyroscopic Radiosurgery platform.
- The ZAP-X platform is a non-invasive cranial radiosurgery system that allows for precise tumor targeting and aims to preserve patient cognitive function.
- The funding will help make stereotactic radiosurgery (SRS) more accessible to patients, as the cost and complexity of current technologies limit its use.
- ZAP Surgical Systems' partnership with Baheal Medical, a leading healthcare company in China, will further expand access to the ZAP-X platform.
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Unite
13h
217
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AI Meets Spreadsheets: How Large Language Models are Getting Better at Data Analysis
- Large Language Models (LLMs) are changing the way users interact with spreadsheets by enhancing them with natural language capabilities that simplify complex tasks.
- LLMs are powerful AI systems trained on massive amounts of data and they can handle complex data processing and analysis, making them incredibly useful for data-intensive tasks like spreadsheet analysis.
- LLMs bring advanced data processing and accuracy improvements directly into familiar tools like Microsoft Excel and Google Sheets, reducing the time spent on analysis and improving accuracy.
- LLMs play a critical role in democratizing data analysis by reducing the need for specialized technical skills, allowing non-technical professionals across various departments to access advanced data insights independently.
- LLMs come with significant challenges and limitations, particularly in sensitive environments, where accuracy and privacy are essential. Data privacy and security, accuracy and reliability, and technical limitations are fundamental considerations for companies adopting these tools.
- Future trends and innovations show that customization and personalization, collaboration, and multimodal AI capabilities are set to improve LLMs significantly.
- The rise of LLMs in spreadsheets is changing how we interact with data and is pushing data analysis toward becoming more accessible and efficient.
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Unite
13h
351
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Navigating the Digital Revolution in Healthcare: A Strategic Guide for Healthcare Leaders
- Healthcare is witnessing unprecedented change, with demographics, new medical developments and payment models shaking up traditional approaches to health and wellness.
- To accommodate the changing demographics, healthcare needs to be more personalized and proactive, moving beyond just reacting to illness.
- The traditional model of primary, secondary, and tertiary care is expanding to include a new “digital” tier of connectivity, encouraging remote consultations, virtual care, and improved patient monitoring.
- Patient empowerment is reducing the reliance on hospital settings and promoting continuous, proactive care.
- Payment models are emphasizing value over episodic transactions, with future frameworks holistically focusing on wellness and behavioral health, and care management, rather than just individual treatments.
- Immediate priorities for healthcare organizations include becoming more cost-effective and efficient by leveraging AI to optimize and automate existing processes and operations.
- To achieve true agility, digital transformation across the entire healthcare ecosystem must be embraced, proving the value of digital solutions early and gradually expanding on what works.
- Tribal knowledge, or valuable insights that come from years of experience, is being transformed into AI models that can be monetized, creating more personalized and effective care for patients.
- Successful leaders balance strategy, tactics, and empathy and challenge the status quo while preparing for the transition to newer models.
- Finding a partner who truly understands the healthcare industry is important, as is committing to continuous learning and innovation to navigate the industry's shifts.
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TechCrunch
14h
247
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Vecna Robotics raises $14.5M and taps former Motional CEO to lead startup
- Vecna Robotics has hired Karl Iagnemma, former CEO of Motional, as its CEO.
- The Massachusetts-based startup has raised $14.5 million in funding from existing investors.
- The funds will be used to accelerate automation technology and improve products for various industries.
- Iagnemma sees potential for Vecna to scale commercially and believes in the future of Motional.
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The Robot Report
15h
0
Image Credit: The Robot Report
Vecna Robotics raises funding, names industry veteran Karl Iagnemma CEO
- Vecna Robotics has announced the addition of Karl Iagnemma as CEO and $14.5m in funding from existing investors.
- The Massachusetts-based firm plans to use the funds to fuel technological and product development.
- Iagnemma, a former CEO of fully autonomous vehicle developer nuTonomy, and later Motional, cited a significant opportunity in logistics automation.
- Vecna provides mobile robots for materials handling, and has introduced CaseFlow, its new robotics-as-a-service system.
- It uses human-robot optimisation for effective case picking, promising return on investment in under a year and over a 100% boost in productivity.
- The company's primary focus is on strategic partnerships and product enhancement, developing an AI system that caters to every workflow through ecosystem development.
- Iagnemma offers extensive robotics expertise and plans to consolidate Vecna's leading position by achieving growth through strategic partnerships, scale, and development.
- Vecna offers forklifts, pallet jacks, tuggers, and trucks, as well as Pivotal software products, a round-the-clock Command Center to automate critical tasks and maximise throughput and scalability.
- There is a mass scope for material handling automation, and according to Iagnemma, the market has witnessed low penetration levels with Vecna's technology head and shoulders above the rest.
- Vecna believes economic growth will result from its CaseFlow vision for the near future, leading the charge in the automation of materials handling under industry expert Karl Iagnemma's leadership.
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Unite
15h
18
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Harnessing Generative AI for Test Automation and Reporting
- Generative AI has completely changed software development and quality assurance (QA) processes, delivering high-quality products faster.
- Generative AI refers to algorithms that create new content, such as text, images, code, or other media, based on patterns learned from existing data.
- Generative AI can streamline various phases of software testing, including building and executing a test strategy, generating test cases, and reporting and result analysis.
- Generative AI tools like Github Copilot and Applitools can be integrated into development and testing workflows to create comprehensive test cases and generate realistic test data.
- Generative AI can also assist in the reporting phase of testing by automating reporting, using natural language generation (NLG) to convert raw testing data into more readable written reports, providing predictive analysis, and achieving real-time reporting.
- Generative AI tools can improve the exploratory testing process by generating diverse test scenarios and edge cases and recording usage patterns in production to predict future behavior.
- Integrating generative AI in the test automation suite can carry significant benefits, such as cost and resource efficiency, faster time-to-market, higher quality software, and scalability.
- Generative AI can automate routine tasks, enhance reporting capabilities, and provide predictive insights into test automation, contributing to the timely delivery of higher-quality software products.
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