The provided code snippet utilizes jQuery for DOM manipulation and event handling. It implements a scroll-triggered visibility toggle for a "Back to Top" button and modifies the header class based on scroll position. Additionally, it employs vanilla JavaScript to manage dropdown menus in a custom header, enhancing user interaction through mouse events. The code adheres to common web development practices.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
German drone startup Quantum Systems has successfully raised $1.2 billion in a recent funding round, significantly increasing its valuation to approximately $8 billion. This financial boost comes amid a broader trend of rising military expenditures across Europe, which has positively impacted several startups in the unmanned aerial vehicle sector. Co-CEO Sven Kruck discussed the company's growth prospects, potential industry consolidation, and Europe’s defense spending goals during an interview with Bloomberg The Opening Trade on July 2. The funding reflects the increasing demand for advanced drone technology in the context of heightened military needs in the region.
German drone manufacturer Quantum Systems has successfully raised $1.2 billion in a Series D funding round, significantly increasing its valuation to $8 billion. This funding effort, which reflects strong investor confidence in the company’s innovative technology and growth potential, marks a pivotal moment for Quantum Systems as it seeks to expand its operations and enhance its product offerings in the competitive drone market. The investment comes at a time when demand for advanced drone solutions is surging, driven by various sectors including logistics, agriculture, and surveillance. With this substantial financial backing, Quantum Systems aims to accelerate its development initiatives and strengthen its position as a leader in the drone industry.
NewsUbicept demonstrated single-photon SPAD imaging at Automate 2026, achieving 140 dB HDR and >10 dB SNR gains for industrial robotics edge AI.
This week in robotics: Japan commits $65B to physical AI, UBTECH’s U1 humanoid companion robot nears 5,000 pre-orders, XDOF raises $70M for robot foundation model infrastructure, and Waymo recalls ~3,900 robotaxis after construction-zone failures. June 15–19, 2026.
In a rapidly evolving landscape, major technology companies such as Microsoft, Google, and IBM are intensifying their efforts in the field of quantum computing. This surge in competition is driven by the potential of quantum technology to revolutionize computing power and solve complex problems beyond the capabilities of classical computers. As of October 2023, these industry leaders are investing heavily in research and development, aiming to secure a competitive edge in what many consider the next frontier of computing. The race involves not only advancements in hardware but also the development of software and algorithms tailored for quantum systems. This strategic push reflects a broader recognition of quantum computing's transformative potential across various sectors, including pharmaceuticals, finance, and artificial intelligence. As these tech giants advance their initiatives, the implications for innovation and economic growth are significant, positioning quantum computing as a pivotal area of focus in the tech industry.
This week in robotics: Bezos’ Prometheus raises $12B for physical AI, NEURA Robotics closes $1.4B Series C, NVIDIA deepens partnerships with Hyundai and LG in Seoul, and Hyundai’s Boston Dynamics robot dogs debut at FIFA World Cup 2026. June 8–12, 2026.
Quantum computers are poised to tackle problems beyond the capabilities of today's most advanced supercomputers, but their operation relies heavily on classical computing infrastructure. As the industry prepares for the anticipated scale of quantum computing, major players like Nvidia, Q-CTRL, IBM Quantum, and Google Quantum AI are developing innovative classical hardware and software solutions to support these machines. In April, Nvidia unveiled AI-based software designed to enhance the classical tasks essential for quantum computing. Sydney-based Q-CTRL has created an automatic calibration algorithm that utilizes Nvidia’s system to streamline the calibration process, which is crucial for maintaining the reliability of qubits—quantum bits that are inherently unstable and require regular adjustments. Calibration involves a meticulous two-stage process that traditionally demands significant time and expertise, prompting a push for automation. Q-CTRL's intelligent software analyzes calibration data in real-time, allowing for dynamic adjustments to improve efficiency. Additionally, quantum error correction is a critical focus, as it enables the detection and compensation of errors in qubits, a process that must occur rapidly to maintain quantum states. While AI is gaining traction in simplifying hardware control, challenges such as latency and computational expense remain. Experts suggest that a hybrid approach combining traditional and AI methods may be necessary to optimize performance. As quantum technology evolves, the demand for robust classical support will grow, necessitating new strategies to manage the increasing complexity of quantum systems.
Quantum-computers Quantum-error-correction Internal-calibration Nvidia Quantum-computingResearchers have developed an innovative room-temperature quantum device that utilizes twisted light to entangle photons and electrons, marking a significant advancement in quantum technology. This breakthrough addresses one of the major challenges in the field, potentially leading to the creation of smaller and more affordable quantum systems. The implications of this technology are vast, with potential applications in secure communications, artificial intelligence, and future computing platforms. This development represents a crucial step forward in making quantum technology more accessible and practical for various industries.
The EU's €1.47 billion European Defence Industry Programme (EDIP) 2026–2027 targets drones, counter-UxS systems, AI-enabled autonomy, and loitering munitions across six major funding calls — allocating over €232 million directly to unmanned systems and related electronics supply chains.
China's 15th Five-Year Plan (2026–2030) elevates embodied intelligence to a national industrial priority for the first time. This RobotToday briefing analyses the plan's robotics directives, new standards framework, and competitive implications for European and North American industry.
The EU's Industrial Accelerator Act introduces "Made in EU" procurement rules and stricter foreign investment conditions, creating indirect pressure on robotics supply chains that rely heavily on Chinese components.
Feb 9-13, 2026: Apptronik raises $520M for humanoid production, GE Aerospace deploys AI robots for jet maintenance, Weave ships first laundry-folding robot, and IFR releases AI in robotics position paper. Physical AI reaches commercial scale across industry and home.
Researchers at the University at Buffalo have developed a groundbreaking method that allows for the simulation of complex quantum systems without the need for supercomputers. By enhancing the truncated Wigner approximation, the team has created a more accessible and efficient approach to modeling quantum behavior, translating intricate equations into a format that can be executed on standard computers. This innovation could significantly change the landscape of quantum physics, enabling physicists to explore quantum phenomena more effectively and broaden their research capabilities.
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