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Robotics News
Unite
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What AI Is Teaching Us About Ancient Civilizations
- Artificial intelligence is being used to teach humans about ancient civilizations by automating and accelerating the decipherment process.
- AI's power lies in automation, evolution, and minimal human oversight, enabling it to carry out complex tasks independently.
- Researchers have utilized AI to decipher ancient languages, uncover buried artifacts, and simulate ancient cultural attitudes.
- Computer programs using natural language processing technology can decode written language faster and more accurately.
- AI has helped discover new geoglyphs in Peru and identify a 5,000-year-old civilization in the Rub al-Khali desert using satellite imagery and machine learning.
- By using AI to analyze historical texts, scientists can simulate ancient cultural attitudes and reconstruct premodern customs more accurately.
- AI can recreate ancient board games, decipher cuneiform tablets, and fill gaps in history books by joining tablet fragments.
- The use of AI in archeology can lead to new historical discoveries, insights into ancient civilizations, and a deeper understanding of the past.
- While AI presents opportunities for archeological research, caution is advised to address biases, inaccuracies, and limitations in its applications.
- Ultimately, AI's role in deciphering languages, locating buried artifacts, and enhancing historical understanding has the potential to reshape our knowledge of ancient civilizations.
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Gritdaily
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24
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The Robot Arms Taking Over Window Washing, and Everything That Comes With It
- Michael Brown transitions from office supplies to robotics, leading Skyline Robotics to revolutionize window cleaning with data and automation.
- Skyline's Ozmo robot, mounted on building maintenance units, autonomously maps surfaces and collects real-time building health data.
- The robot offers faster cleaning than humans while monitoring seals, facade materials, and energy efficiency, transforming cleaning into an insight-generating process.
- Skyline's approach focuses on data-driven upkeep, addressing building faults efficiently based on real-time data insights.
- The company's robots augment labor shortage in window cleaning by reinforcing human workers and enhancing safety in high-rise cleaning.
- In collaboration with regulatory bodies like New York's Department of Labor, Skyline becomes the first approved to operate window-cleaning robots in strict markets.
- Skyline targets global expansion, focusing on tall skyscrapers, and partners with crane manufacturers to integrate robots and future-proof building maintenance.
- The company plans to expand beyond buildings to other high-cost, high-risk cleaning environments, aiming to build smarter, more scalable robots.
- Skyline Robotics represents a blend of automation, AI, and innovative infrastructure, with ambitions for smarter and safer building operations in the future.
- The startup envisions a future where buildings are not just taller but also operate more intelligently and sustainably.
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Pymnts
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350
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Report: SoftBank to Invest $1 Trillion in AI-Powered Robot Factories in US
- Japanese tech investment firm SoftBank Group plans to invest $1 trillion to build AI-powered factories in the US.
- The factories will be equipped with robots designed to address labor shortages faced by American manufacturers.
- SoftBank's investment is higher than the previously announced $500 billion investment in the US.
- The investment aims to create jobs and develop AI infrastructure in the country.
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Eweek
4d
174
Image Credit: Eweek
8 Top AI Certifications: Latest Hotlist You Won’t Want To Miss
- AI certifications are crucial for showcasing proficiency in AI skills, aiding career growth and staying updated with technological advancements.
- Top AI certifications include AI for Everyone, Computer Science for AI, IBM AI Engineering Professional Certificate, and CertNexus Certified AI Practitioner.
- Certifications cater to learners of all levels, offering courses on AI concepts, programming skills, TensorFlow, machine learning, and deep learning.
- Courses like Advanced AI Techniques for Product Marketing and ARTiBA AI Engineer Certification focus on real-world applications and expertise validation.
- Certifications cover various topics like neural networks, ML algorithms, computer vision, and natural language processing, enhancing business skills with AI.
- Preparation for AI certification exams requires mastering core concepts, understanding exam objectives, developing a study plan, practicing with exams, and engaging in active learning.
- AI certifications validate expertise, leading to increased credibility, earning potential, job opportunities, and structured learning, aiding in career growth.
- Choosing the right AI certification depends on career goals, current skill level, and preferred focus area in AI, ensuring alignment with industry requirements.
- While certifications are valuable, practical experience and a strong portfolio of AI projects enhance job prospects and validate expertise as an AI professional.
- Selecting certifications that validate practical skills, are recognized by employers, and offer strong ROI is essential for advancing in the AI field and staying competitive.
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Medium
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Image Credit: Medium
Robots are getting all up in our feels these days.
- Robots are being built and coded to mirror human emotions in real-time.
- Lemmy CompanionBot and other robots use AI and sensors to read human vibes with accuracy.
- Warehouse drones and systems like AgiBot World™ organize based on worker stress levels.
- The mashup of robotics and sentiment analysis is transforming various aspects of our lives.
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Embedded
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Texas Instruments Unveils Industry-First Functionally Isolated Modulators for Precise Motor Control in Robotics
- Texas Instruments has introduced functionally isolated modulators for precise motor control in compact robotics designs.
- The isolated modulators enhance accuracy and resolution, delivering 12 to 14 effective number of bits (ENOB) for precise measurements.
- The compact, leadless package of these modulators enables smooth torque operation and fine motor control while reducing size and cost.
- The modulators offer superior precision, requiring 50% less board space and enabling seamless integration into robotic applications.
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Eweek
4d
309
Image Credit: Eweek
Top 7 Robotics Companies (2025): Revolutionizing Automation
- Robotics companies are revolutionizing industries such as manufacturing, healthcare, agriculture, and logistics with innovations like surgical robots and autonomous drones.
- The top robotics companies in 2025 include ABB, Anduril, Boston Dynamics, FANUC, Piaggio Fast Forward, Vecna Robotics, and Yaskawa, each excelling in specific industrial applications.
- ABB shines in diverse manufacturing applications with its range of industrial robots and collaborative systems.
- Anduril focuses on defense and national security through autonomous systems and AI software for border surveillance and military operations.
- Boston Dynamics leads in automated inspection with its dynamic, mobile robots like Spot and Stretch designed for industrial and commercial tasks.
- FANUC, a pioneer in industrial automation, offers a wide range of robots for manufacturing processes with advanced vision systems and force-sensing technologies.
- Piaggio Fast Forward specializes in mobile carrying robots like gita for urban mobility solutions, enhancing convenience in daily tasks.
- Vecna Robotics excels in material handling automation, providing solutions for warehousing, e-commerce, and manufacturing operations with its advanced robots and orchestration software.
- Yaskawa Electric focuses on automating production processes with its comprehensive lineup of industrial robots and automation technologies tailored for various sectors.
- Robotics companies like ABB, Anduril, Boston Dynamics, FANUC, Piaggio Fast Forward, Vecna Robotics, and Yaskawa offer diverse robotic solutions to meet specific business needs and drive automation.
- Investing in robotics companies can boost productivity, reduce manual labor costs, and enhance operational efficiency across industries while adapting to technological advancements like AI, ML, and IoT integration.
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Unite
5d
269
Image Credit: Unite
Saryu Nayyar, CEO and Founder of Gurucul – Interview Series
- Saryu Nayyar is a cybersecurity expert, author, and CEO of Gurucul with over 15 years of experience in the field.
- Gurucul specializes in behavior-based security and risk analytics, using AI and machine learning to detect threats.
- Nayyar founded Gurucul in 2010 to address cyber risks by focusing on behavioral and predictive analytics.
- The REVEAL platform by Gurucul stands out from traditional SIEM solutions with AI-driven real-time threat detection.
- Gurucul's platform reduces false positives through AI-driven contextual analysis and behavioral insights.
- Machine learning and behavioral analytics are used in Gurucul's platform to detect threats and anomalies in real time.
- Gurucul employs AI to combat evolving risks, such as adversarial AI, by focusing on behavior and context in threat detection.
- The platform's risk-based scoring system improves security teams' threat prioritization and response capabilities.
- AI-driven security solutions like Gurucul can help organizations prevent insider threats by detecting deviations in user behavior.
- AI will continue to play a crucial role in mitigating cybersecurity threats, especially identity-based risks, in the coming years.
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Unite
5d
322
Image Credit: Unite
How AI Is Quietly Reshaping Logistics: Cutting Waste and Boosting Margins
- Logistics industry is benefiting from AI, turning inefficiency into a competitive advantage.
- AI provides real-time tracking, supply chain visibility, and accurate demand predictions.
- Real-time shipment tracking is highly valued, aiding in explaining abnormalities and minimizing waste.
- IoT devices revolutionize cargo tracking for time-sensitive shipments like food and pharmaceuticals.
- Item-level visibility enables real-time monitoring and informed decision-making to reduce waste.
- IoT sensors aid in demand forecasting, optimizing fleet deployment, and ensuring reliable lead times.
- Logistics companies leverage AI for load-to-capacity matching, improving efficiency and reducing empty miles.
- AI-driven load-matching platforms ensure trucks operate at maximum efficiency.
- By tracking assets, predicting demand, and optimizing loads, logistics companies boost margins and customer relationships.
- Supply chain visibility benefits extend to other industries for streamlining operations and reducing costs.
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Unite
5d
297
Image Credit: Unite
Hakimo Raises $10.5M to Revolutionize Physical Security with Autonomous AI Agent
- Hakimo, an AI security startup, secures $10.5 million in Series A funding to enhance autonomous, AI-powered monitoring for physical security.
- The funding round, led by Vertex Ventures and Zigg Capital, brings Hakimo's total funding to $20.5 million.
- Hakimo introduces the AI Operator, an autonomous security agent that monitors cameras, detects intrusions, and responds to incidents in real time.
- Utilizing computer vision and generative AI, Hakimo's AI Operator interprets and acts on security events with human-like understanding and response.
- Hakimo's platform integrates seamlessly with existing security systems, requiring no costly upgrades and enabling rapid deployment across multiple sites.
- The system provides real-time, reliable, and cost-effective security, addressing the shortcomings of traditional security approaches.
- Deployed across various industries, Hakimo's platform has prevented security incidents, assisted in arrests, and saved lives.
- With features like tailgating detection and automated alarm triage, Hakimo's AI technology reduces false positives and operational fatigue.
- Hakimo's platform evolves with customers, offering integrations with various software to enhance security workflows and cut costs.
- Investors see Hakimo as a category-defining innovator, combining vision AI algorithms with human reliability to deliver superior security services.
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The Robot Report
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302
Torc debuts physical AI for long-haul trucking at NVIDIA GTC 2025
- Torc Robotics Inc. is collaborating with Flextronics International Ltd. and NVIDIA Corp. to develop a physical artificial intelligence compute system for autonomous trucks.
- Torc's physical AI enables self-driving trucks to perceive, understand, and perform complex actions in the real (physical) world, using sensors such as lidar, radar, and cameras.
- The collaboration with NVIDIA has resulted in a multi-chip adaptable architecture using NVIDIA's DRIVE AGX platform, providing high compute performance, low latency, and multi-sensor connectivity.
- Flextronics contributes its Jupiter compute design platform and advanced manufacturing capabilities, enabling scalable production of hardware and software for autonomous long-haul trucking.
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The Robot Report
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359
Zoox issues voluntary software recall for 258 vehicles
- Zoox issued a voluntary software recall for 258 vehicles.
- The recall was in response to two incidents in which vehicles braked unexpectedly and were rear-ended by motorcycles.
- The recall applies to some purpose-built robotaxis, but none of the vehicles on the road currently use the recalled software.
- Zoox implemented measures to prevent recurrence, including software updates, operational mitigations, and increased training for safety drivers and operators.
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