The Patent - Invention Magazine
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artificial intelligence

Robotics

Humanoid Robot Learns Complex Sequences Without Unified Training Data

Teaching a bipedal machine to walk across a room and manipulate objects usually requires unbroken demonstration sequences that are difficult to record reliably. A research team at Seoul National University has built a vision-language-action architecture called RISE, which connects independently gathered walking and handling data to perform sequential tasks. The system advances practical robotics by cutting the burden of training physical machines.

AI

OpenAI and Anthropic claim AI solved a 27-year-old computer science problem

Teams at OpenAI and Anthropic claim that artificial intelligence has cracked a 27-year-old pillar of computer science. The achievement forms one of three major claims from OpenAI, opening fresh debates on intellectual property and the distribution of machine-generated scientific findings.

Giovanni Sapere

AI

BBERT uses artificial intelligence to identify hidden bacteria in soil

Researchers at the Hebrew University of Jerusalem and partner institutions have developed an artificial intelligence tool called BBERT to identify unknown bacterial DNA fragments directly from environmental soil samples. The software, detailed in a study published in Nucleic Acids Research, borrows mechanisms from language processing to evaluate genetic material without needing exact matches in reference catalogs. The invention allows laboratories to reconstruct microbial genomes in less than half the usual time using conventional personal computers.

Letizia Giugliano

Makers

Dr. Kun Dániel Builds an AI-Guided Lockpicking Robot

Maker Dr. Kun Dániel has designed an autonomous lockpicking device that replaces the human touch with robotic actuators and artificial intelligence. The compact invention mounts onto an ordinary lock cylinder to manipulate internal pins through real-time physical feedback.

Letizia Giugliano

Tech

Transmitting Odors Over the Internet with Scentronic

Two research teams from The Ohio State University and Zhejiang Laboratory have demonstrated a method to digitize and transmit odors over network connections. The setup pairs an electronic nose with an emitting unit called Scentronic, using machine learning to classify scents before misting preloaded liquid fragrances. So far, the system has successfully transmitted the aromas of coffee, beer, cake, oranges and red wine.

Letizia Giugliano

Robotics

Penn Engineers Speed Up Event Camera Vision to 440 Times per Second

Engineers at the University of Pennsylvania have developed an artificial intelligence tool that processes event-camera visual data up to 440 times per second. The software invention, called Fast Feature Field, allows machines to interpret rapid environmental changes between two and five times faster than earlier methods. Reported in the journal Science Robotics, the system helps autonomous drones, wheeled vehicles, and walking robots react quickly in cluttered spaces and low-light conditions.

Letizia Giugliano

AI

Beijing researchers design bone scaffolds in 12 seconds with AI

Engineers and medical researchers at Beijing Rehabilitation Hospital, affiliated with Capital Medical University, have introduced ScaffoldForge, a generative artificial intelligence system for bone repair. The tool designs customized bone scaffolds in roughly 12 seconds, shifting a calculation process that previously required hours of computing time.

Giovanni Sapere

Health

Harvard app Mobilio uses smartphone sensors to guide blind walkers

Bioengineers at Harvard University have developed Mobilio, an assistive software application that turns a standard smartphone into a real-time guidance system for people with visual impairments. The system applies artificial intelligence and computer vision to live phone sensor feeds, issuing tailored audio beeps to guide users around obstacles. In experimental trials, participants using the tool reached destinations 13 percent faster while recording 41 percent fewer collisions than when using conventional mobile maps.

Giovanni Sapere

AI

OpenAI Models Generate Proofs in Mathematics, Computing and Quantum Physics

Research systems powered by artificial intelligence have generated formal mathematical proofs addressing long-standing conjectures in harmonic analysis, computational complexity, and quantum field theory. The results, announced by [Interesting Engineering](https://interestingengineering.com/ai-robotics/openai-proofs-math-computing-physics), have been formalized using computer-checked verification and handed over to independent mathematicians and physicists for peer assessment.

Letizia Giugliano

AI

OpenAI Reports Breakthroughs in Mathematics, Computer Science and Physics

OpenAI announced a series of automated discoveries in mathematics, computer science and theoretical physics on October 27, 2026. The releases expand upon earlier mathematical papers, introducing model-generated proofs that challenge long-standing foundational assumptions across scientific fields.

Letizia Giugliano

Tech

AI Agents Accelerate Radiation Shielding for Space Microchips

Scientists at Pacific Northwest National Laboratory have introduced an artificial intelligence workflow called SciLink to accelerate the development of radiation-hardened microchips. Presented at a regional meeting of the American Chemical Society, the system combines specialized software agents to evaluate how particle bombardment degrades electronics destined for space and nuclear reactors.

Giovanni Sapere

AI

Mass General Brigham AI predicts cancer survival risk from a facial photo

Scientists at the Mass General Brigham Cancer Institute have developed an artificial intelligence tool capable of predicting a patient's biological age and cancer treatment survival odds from a single facial photograph. The clinical breakthrough provides oncologists with a non-invasive method to evaluate physical reserve before ordering aggressive interventions such as radiotherapy, systemic therapy or surgery. Published in The Lancet Digital Health, the project shows how digital facial biomarkers can measure patient frailty without requiring exhausting clinical tests.

Giovanni Sapere

Robotics

Dexterity and Motion Control Advance Across Quadrupeds and Humanoid Robots

Recent milestones in robotics highlight how machines are mastering delicate manipulation and dynamic mobility without relying on conventional human-like approaches. Engineering reports from October 2026 demonstrate that quadruped platforms, stabilization frameworks, and humanoid systems are rapidly closing the divide between sensory perception and physical action. These developments signal a wider shift toward resilient, high-speed machines designed for complex physical tasks.

Letizia Giugliano

Robotics

Lab-Grown Neurons Decode Braille and Steer Robot Dogs

Recent breakthroughs in biohybrid robotics have demonstrated that cultured human neural tissue can process tactile information and steer physical machines. Researchers from the University of Bristol and Melbourne-based Cortical Labs are pairing biological neurons with silicon electronics to achieve adaptable learning using minimal computational power.

Letizia Giugliano

AI

AI Weed Control Sparks a Third Agricultural Revolution

Researchers from the University of Mississippi and Cornell University have analyzed how precision agriculture driven by artificial intelligence is reshaping crop management. Their evaluation shows that automated lasers, robotic cultivators, and targeted sprayers can sharply reduce chemical applications, though substantial capital costs and regional data limitations temper widespread adoption.

Giovanni Sapere

AI

Superconducting Neural Chip Processes One Million Fusion Plasma Samples Per Second

Scientists at the US Department of Energy's Brookhaven National Laboratory, in collaboration with the Princeton Plasma Physics Laboratory and Colorado hardware firm Great Sky, have developed a superconducting neural chip capable of analyzing roughly one million plasma samples every second. The hardware applies principles of artificial intelligence and brain-inspired circuitry to the challenge of real-time control inside fusion reactors.

Giovanni Sapere

IT

HP OmniBook Ultra 16 Debuts Nvidia RTX Spark Architecture for Local AI

Workstation computing is shifting back to local hardware as hardware vendors package datacenter-level memory capacities into portable systems. HP has released its OmniBook Ultra 16, serving as the launch vehicle for Nvidia's new RTX Spark platform tailored for local artificial intelligence workloads. Tested by benchmarkers in October 2026, the device pairs custom multi-chiplet silicon with massive unified memory for demanding research and builder tasks.

Letizia Giugliano