Robotics & Autonomous Vehicles

Researchers Unveil World’s Smallest Programmable Micro-Robots

Researchers at the University of Pennsylvania and the University of Michigan have created the world’s smallest programmable, autonomous robots. These microscopic swimming bots, barely visible to the naked eye, can be programmed with light pulses to move in complex patterns and sense their environment. Each robot, measuring approximately 0.2 by 0.3 millimeters, has its own unique identifier for receiving individual commands. The current models are equipped with sensors that can detect temperature variations, which could be used to monitor the health of individual cells. This breakthrough in micro-robotics opens up new possibilities in fields such as medicine and micro-scale manufacturing.

Sources:

China Greenlights First Level 3 Autonomous Vehicles for Public Roads

China’s Ministry of Industry and Information Technology has approved the first cars with Level 3 autonomous driving capabilities for public road use, signaling a new phase of development for the nation’s autonomous driving industry. The approved models are from automakers Changan Automobile and BAIC Motor’s Arcfox brand. The Changan vehicle is permitted for single-lane autonomous driving up to 50 km/h in congested traffic on specific highways in Chongqing. The Arcfox model is approved for similar conditions at speeds up to 80 km/h on designated routes in Beijing. This move allows for the formal market entry of autonomous vehicles as commercial products and is seen as a significant step in advancing intelligent driving in the world’s largest auto market. Other companies, including Xpeng, Li Auto, and BYD, are also reportedly advancing their L3 testing and development.

Sources:

Humanoid Robotics Sees Surge in Venture Capital Investment

Investor interest in humanoid robotics is growing significantly, as highlighted by a recent summit in Silicon Valley. Venture capital deals for U.S. humanoid robotics companies have reached nearly $2.8 billion in 2025, a substantial increase from just $42.6 million in 2020, according to data from PitchBook. A significant portion of this funding, around $1.6 billion, has been directed towards companies based in California. The increased investment is fueling competition to integrate artificial intelligence into physical robots that can interact with people and perform tasks in the real world, such as household chores.

Sources:

Generative AI Models

Nvidia Releases Nemotron 3 Nano, a New Open-Source AI Model Family

Nvidia has introduced a new family of open-source artificial intelligence models called ‘Nemotron’, with the first model, Nemotron 3 Nano, now available. The company states that this new generation of models will be faster, more affordable, and more intelligent than its predecessors. Nemotron 3 Nano is designed to be more efficient, reducing operational costs, and is said to perform better on complex, multi-step tasks. Nvidia is also releasing the training data and other tools to allow for security testing and customization by government and business users. Two larger versions of the Nemotron model are planned for release in the first half of 2026. This move comes as open-source AI models from Chinese tech firms are gaining wider use in the industry.

Sources:

Cloud Infrastructure

AI Adoption Drives Massive Expansion of Cloud Attack Surface, Report Finds

A new report from Palo Alto Networks reveals that the rapid adoption of artificial intelligence is leading to a significant increase in cloud security risks. The “State of Cloud Security Report 2025” found that 99% of organizations surveyed had experienced at least one attack on their AI systems in the past year. The report highlights that as cloud infrastructure expands to accommodate AI workloads, it has become a prime target for attackers who are focusing on API infrastructure, identity, and lateral network movement. The study also notes the prevalence of GenAI-assisted coding, with 99% of respondents using it, which is contributing to the generation of insecure code.

Sources:

Fortinet and NVIDIA Partner to Secure AI Factory Infrastructure

Fortinet has announced an integrated solution that runs its FortiGate-VM virtual cloud firewall directly on the NVIDIA BlueField-3 data processing unit (DPU). This collaboration embeds networking and security functions into the AI Factory infrastructure, offloading core security tasks from the host CPU to the DPU. By moving security into the data center infrastructure itself, the solution aims to help enterprises secure high-performance private cloud and AI environments more efficiently, keeping pace with AI-scale traffic while maintaining consistent protection.

Sources:

Quantum Computing

Quantum Computing Inc. Appoints Dr. Yuping Huang as CEO to Drive Growth

Quantum Computing Inc. (QCi) has officially named Dr. Yuping Huang as its Chief Executive Officer, a move that will be effective January 1, 2026. Dr. Huang has been serving as the interim CEO since April 11, 2025. This leadership change is a key part of QCi’s strategy to transition from developing prototypes to the industrial-scale manufacturing of its quantum photonics systems. The company’s board has worked in close collaboration with Dr. Huang to align this appointment with QCi’s ten-year technology roadmap. With over two decades of experience in quantum physics and technology, Dr. Huang is poised to lead QCi in making scalable quantum photonics technology accessible to a variety of industries. He has an extensive background in leading quantum research projects with significant funding from U.S. government agencies such as DARPA, the NSF, the Department of Defense, and NASA.

Sources:

Silicon Quantum Computing Achieves Record-Setting Processor Breakthrough

Silicon Quantum Computing (SQC) has announced a significant breakthrough with a multi-qubit, multi-register quantum processor that demonstrates improved quality and performance as the system scales. This achievement, published in the journal Nature, positions the company as a leader in the silicon modality of quantum computing. The new processor has achieved fidelities of up to 99.99%, a new milestone in the field. A key highlight of SQC’s architecture is that the quality of the qubits strengthens as their number increases, which is a crucial step towards building fault-tolerant, commercial-scale quantum computers. The company’s manufacturing process, developed over 25 years, allows for the precise placement of phosphorus atoms within pure silicon wafers at an atomic level.

Sources:

Photonic’s Dr. Stephanie Simmons Named to UNESCO’s Quantum 100

Dr. Stephanie Simmons, the founder and Chief Quantum Officer of Photonic Inc., has been named to the Quantum 100, an initiative of the International Year of Quantum Science and Technology (IYQ 2025) by UNESCO. The Quantum 100 recognizes individuals who are advancing quantum science globally. Dr. Simmons is being honored for her work in accelerating the development of commercially viable quantum computing. At Photonic, she is leading the development of a modular and distributed quantum architecture that is compatible with existing data center and telecom infrastructure. Her research has also been recognized in Physics World’s Top Ten Breakthroughs in both 2013 and 2015.

Sources: