Thailand's first biomedical and robotics research center at Mahidol University. Research covers robot-assisted surgery, rehabilitation engineering, hospital logistics automation, and intelligent mobile robotic systems.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Researchers from Western University and the University of Southern California conducted a study analyzing 72,644 biomedical papers to assess the reliability of preprints. The findings revealed that major claims in papers rarely change significantly after peer review, with 39.9% remaining unchanged and 50.0% undergoing minor revisions. This study is significant as it addresses concerns regarding the credibility of preprints, which allow for rapid dissemination of research findings. The analysis showed that papers published without preprints had a higher retraction rate, suggesting that preprints may serve as a quality control mechanism in scientific publishing. Future research may focus on the implications of these findings for the peer review process and the role of preprints in scientific communication. No further timeline was disclosed at the time of publication.
The successful implementation of Microsoft Copilot Studio hinges on the careful selection of business processes. Identifying suitable tasks for AI application is crucial, as it can determine 90% of the project's success. This article outlines the characteristics of tasks that are unsuitable for AI and emphasizes the importance of strategic decision-making in the initial stages. Understanding the right processes to automate can prevent common pitfalls, such as selecting tasks with unclear KPIs or those that require high levels of human judgment. The article provides a framework for selecting appropriate tasks and highlights the need for clear initial design to ensure that AI agents are effectively integrated into business operations. Looking ahead, organizations should focus on refining their approach to task selection and initial design to enhance the effectiveness of AI agents. No further timeline was disclosed at the time of publication.
The latest episode of Designing the Future highlights the significant progress in humanoid robotics, driven by advancements in speed, mobility, and dexterity. As these technologies evolve, the role of power management becomes increasingly critical, particularly in the context of battery and fuel cell usage. Engineers face challenges in converting energy from onboard sources to effectively power mechatronics and logic systems. This focus on power management is essential for the realization of humanoid robots that can perform a wide range of tasks, fulfilling the long-held promise of general-purpose machines. The conversation between Jim Anderton and John Quinlan from Murata Power Solutions underscores the importance of efficient power solutions in enhancing robotic performance. As the industry continues to innovate, the interplay between power systems and robotic capabilities will shape future developments. Looking ahead, the demand for compact and efficient power products will likely grow as humanoid robots become more prevalent in various sectors, including industrial and medical markets. No further timeline was disclosed at the time of publication.
HumanoidsNVIDIA has highlighted the challenges in evaluating general-purpose robot policies as their capabilities advance. The company emphasizes that while current robotics models can follow natural language instructions to manipulate various objects, rigorous evaluation remains a significant hurdle due to the limitations of existing benchmarks. Real-world testing is costly and slow, necessitating effective simulation methods for large-scale evaluations. The importance of this evaluation process lies in the need for robots to generalize their skills beyond memorized setups. NVIDIA points out that many benchmarks suffer from visual and task-domain overlap, which can lead to misleading performance metrics. As models achieve high scores on static task sets, it becomes increasingly difficult to differentiate their true capabilities, raising concerns about the meaningfulness of reported results. Looking ahead, NVIDIA's focus on improving simulation environments and task generation methods is crucial for advancing robotic evaluation. The company aims to address the diagnostic gaps in current benchmarks, which often fail to provide insights into the reasons behind a robot's performance. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Design / Development Motion Control News Software / SimulationBRINC, a Seattle-based public safety drone manufacturer, announced on July 14, 2026, that it has secured a $125 million financing round led by Motorola Solutions. This investment raises BRINC's total capital to over a quarter billion dollars and aims to deploy a BRINC 911 response drone at every police and fire station across the U.S., targeting 80,000 facilities. The funding will enable BRINC to expand its domestic manufacturing, launch new products, and scale its go-to-market operations. The company plans to move into a facility three times the size of its current factory by the end of 2026 to meet the increasing demand from public safety agencies. In 2025, BRINC tripled its revenue and quintupled its monthly production capacity, signing nearly four times as many contracts for 911 response drones in 2026 compared to the previous year. Looking ahead, BRINC's founder Blake Resnick emphasized the importance of situational awareness in emergencies, stating that their drones provide critical information before first responders arrive. The company is also collaborating with the National League of Cities for a nationwide rollout of drone first response (DFR) initiatives. No further timeline was disclosed at the time of publication.
DFR Drone News Drone News Feeds News Public Safety 80000 stationsBosch has commenced sample production of silicon carbide (SiC) semiconductor chips at its facility in Roseville, California. This marks a significant advancement in the effort to revitalize power chip manufacturing within the United States. The company has also secured up to $225 million in funding from the U.S. Department of Commerce’s CHIPS Program Office to support its investment of up to $2 billion at the site. The Roseville plant is set to begin commercial production in 2026, making it Bosch's first semiconductor manufacturing site in the U.S. The facility will produce third-generation SiC chips on 200-millimeter wafers, aligning with the U.S. government's initiative to bolster domestic semiconductor manufacturing. Silicon carbide chips are increasingly vital for applications in electric vehicles, industrial equipment, and energy systems. Looking ahead, Bosch plans to invest up to $7.5 billion across its U.S. operations by 2031, enhancing manufacturing capacity and expanding its North American business. The Roseville site currently employs over 300 individuals and is committed to workforce development through local education partnerships, with plans to contribute more than $100,000 annually to community STEM programs starting in 2026.
InnovationTeradyne, Inc. (NASDAQ: TER) is set to announce its financial results for the second quarter of 2026 on Tuesday, July 28, 2026, at 4:30 p.m. Eastern Time. Following the release, a conference call will take place on Wednesday, July 29, 2026, at 8:30 a.m. ET to discuss the results and management's business outlook. This announcement is significant as it reflects Teradyne's ongoing commitment to transparency and investor engagement. The company's performance in the second quarter will provide insights into its automated test equipment and advanced robotics systems, which are crucial for maintaining quality standards in semiconductor and electronics manufacturing. Investors and analysts should monitor the upcoming conference call for insights into Teradyne's business outlook and strategic direction. Presentation materials will be available starting at 7:30 a.m. ET on the day of the call, and a replay will be accessible on Teradyne's website afterward. No further timeline was disclosed at the time of publication.
Researcher Dave Kuszmar has identified multiple systemic vulnerabilities in large language models (LLMs) that allow for the bypassing of safety protocols, enabling access to dangerous instructions. This discovery highlights a significant security issue across nearly all major LLMs, prompting Kuszmar to advocate for a slowdown in deployment and increased transparency in LLM safety research. The implications of Kuszmar's findings are profound, as they reveal that the very restrictions intended to secure LLMs can be manipulated by attackers to access harmful information. Despite efforts by large AI companies to fortify their models, Kuszmar's experience indicates a troubling lack of responsiveness from these organizations when vulnerabilities are reported. This raises concerns about the safety of LLMs, which are becoming increasingly accessible to the general public. Looking ahead, Kuszmar's call for large-scale research into LLM safety is critical as these technologies continue to integrate into society. The ease with which LLMs can be convinced to provide harmful instructions poses a significant risk, and without proper oversight and security measures, the potential for misuse remains high. No further timeline was disclosed at the time of publication.
Security Llms Ai-safety Ai-companiesResearchers at MIT have developed SceneSmith, an AI-powered platform that generates realistic 3D indoor environments for robot training. This innovative system utilizes three collaborative AI agents to create detailed virtual spaces, enabling robots to practice everyday tasks safely and efficiently before real-world deployment. The significance of SceneSmith lies in its ability to reduce the costs and time associated with traditional robot training methods. By providing a virtual setting that mimics real-life environments such as kitchens and offices, robots can learn to interact with various objects without the need for extensive human supervision or physical trials. Looking ahead, SceneSmith has already generated over 1,300 virtual environments, allowing robots to practice tasks like placing fruit on plates and opening cabinets. Researchers have tested robot control programs in 100 different environments, achieving over 99 percent agreement between AI evaluations and human reviewers. No further timeline was disclosed at the time of publication.
AI and RoboticsAMX Corporation has established the HuRoC (Human-Robot Commons) co-creation platform aimed at exploring and creating a future where humans and robots coexist. Based in Ota City, Tokyo, HuRoC will focus on the social implementation of humanoid robots and the validation of use cases. An expo titled 'HuRoC EXPO 2026' is scheduled for July 17 at the Ota City Industrial Plaza PiO. The initiative is significant as it addresses the pressing question of how humanoid robots can be utilized in society, a topic that remains under-discussed globally. HuRoC aims to create a concrete vision for the future of humanoid robots, emphasizing their social integration rather than just the technology itself. The platform will facilitate collaboration among robot manufacturers, AI researchers, and testing environments to generate valuable AI training data through practical demonstrations. Looking ahead, HuRoC plans to incorporate additive manufacturing techniques to produce humanoid robots, thereby enhancing the manufacturing capabilities in Ota City. The expo will feature discussions on the future of humanoid robots, agricultural automation, and collaborative efforts among various stakeholders, including startups and universities. No further timeline was disclosed at the time of publication.
Leave a comment