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The drones utilized large language models to engage with each other and their operator.

Marking a significant leap concerning drone technology, researchers in China have enabled unmanned aerial vehicles (UAVs) to engage in “group chats” to discuss and assign work to one another, much like human teams.

The research work accessed by South China Morning Post (SCMP) was done by a team led by Li Xuelong at the School of Artificial Intelligence, Optics and Electronics at Northwestern Polytechnical University in China. According to them, the technology might improve security patrols, disaster relief, and aerial logistics.

The post included a demonstration video from the researchers, showing how a team of five drones successfully located a set of keys in an outdoor park.

“The drones showcased key abilities, including humanlike dialogue interaction, proactive environmental awareness and autonomous entity control,” the WeChat report said. Autonomous entity control refers to the drone cluster’s ability to adjust flight status in real time based on environmental feedback.

The technology equips each drone with a “human brain”, allowing them to chat with each other using natural language. This ability was developed based on a Chinese open-source large language model called InternLM, according to the report.

Everdrone’s advanced service promises to reduce the average response time to under 2 minutes.

Aiming to improve emergency response services, Swedish firm Everdrone has introduced a state-of-the-art drone that combines an advanced camera system as well as customizable medical kits.

Christened E2, the multi-purpose drone aims to revolutionize emergency dispatch by providing the ability to transmit live infrared and high-definition video along with emergency medical equipment supplies. Everdrone claims that E2 will help to lower average response times under two minutes.

A team of engineers from The University of Manchester has created and flown the world’s largest drone, made from a lightweight and eco-friendly material.


The Giant Foamboard Quadcopter (GFQ) is unlike any other drone worldwide thanks to its innovative design. It is made from foamboard, a cardboard type with a foam core and a paper skin.

A team of engineers from The University of Manchester.

Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature Communications (“First demonstration of in-memory computing crossbar using multi-level Cell FeFET”), the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.

  • The new architecture enables both data storage and calculations to be carried out on the same transistors, boosting efficiency and reducing heat.
  • The chip performs at 885 TOPS/W, significantly outperforming current CMOS chips which operate in the range of 10–20 TOPS/W, making it ideal for applications like real-time drone calculations, generative AI, and deep learning algorithms.
  • Intelligent robots are reshaping our universe. In New Jersey’s Robert Wood Johnson University Hospital, AI-assisted robots are bringing a new level of security to doctors and patients by scanning every inch of the premises for harmful bacteria and viruses and disinfecting them with precise doses of germicidal ultraviolet light.

    In agriculture, robotic arms driven by drones scan varying types of fruits and vegetables and determine when they are perfectly ripe for picking.

    The Airspace Intelligence System AI Flyways takes over the challenging and often stressful tasks of flight dispatchers who must make last-minute flight pattern changes due to sudden extreme weather, depleted fuel supplies, mechanical problems or other emergencies. It optimizes solutions, is safer, saves time and is cost-efficient.

    NASA engineers tested a half-scale version of the Dragonfly rotorcraft that will eventually explore the surface of Saturn’s largest moon, Titan.

    NASA’s Ingenuity Mars helicopter is a massive success story, far exceeding its original mission goals.

    Now, NASA is taking lessons from the first rotorcraft to fly on another planet and applying it to a larger machine exploring Saturn’s largest moon, Titan.

    A battery-less RFID tag could do the job just as well as a GPS landing module. The researchers have further refined how the tag works.

    A collaboration between researchers at The University of Tokyo and telecommunications company NTT in Japan has led to the development of a radio-frequency identification (RFID)-based guidance system for autonomous drones, a press release said.

    The use of drones for civil applications has been on the rise and is expected to increase further as countries become more liberal with airspace to be used by autonomous flying vehicles. Conventionally, drones have relied on imaging to determine their location, but as piloting control moves toward the machine from humans,… More.


    Michael-rojek/iStock.

    In this video accompaniment to our paper “ChatGPT for Robotics: Design Principles and Model Abilities”, we demonstrate how ChatGPT can help a user control a real drone with only language instructions.

    ChatGPT provided an extremely intuitive interface between the user and the robot, writing robot code based on ambiguous and ill-defined instructions, and asking clarification questions when necessary. The model was also able to write complex code structures for drone navigation (circular and lawnmower inspection) based solely on the prompt’s base APIs.