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Will artificial intelligence destroy humanity? Will GPT-5 be the first artificial general intelligence? Why are neural network experts calling on missile strikes to destroy the AI development centers? That and review of new robot superpowers and the ProMat 2023 robot show is in one video! Watch till the end, it’s gonna be interesting!

00:38 — Will GPT-5 destroy humanity?

Ukrainian troops have been using Corvo Precision Payload Delivery System (PPDS) drones that are made out of cardboard. At least 100 of the flat-packed drones are being supplied to Ukraine each month, as per a report by The Australian. These cardboard UAVs allow Ukrainian forces to drop bombs, deliver supplies and undertake vital reconnaissance missions. Watch the video to find out what the Precision Payload Delivery System is?

#russiaukrainewar #warinukraine #cardboarddrones #ppdsdrones #worldnews.

00:00 – INTRODUCTION
01:15 — WHAT IS PRECISION PAYLOAD DELIVERY SYSTEM (PPDS)?
02:28 — WHAT MAKES ‘CARDBOARD DRONES’ STEALTHIER?
02:58 — WHAT IS THEIR PRIMARY USE?
05:00 — WHEN WAS PPDS SUPPLIED TO UKRAINE?
06:05 — SIGNIFICANCE OF DRONES IN UKRAINE WAR

N18oc_world n18oc_crux.

Holographic receptionists, robots and tea-delivering drones may be part of the workplace in just 30 years, according to new findings.

Employees may soon be spared from carrying out mundane tasks around the office as futuristic technologies blend into our daily lives.

Research conducted by suppliers Furniture At Work claimed that fingerprint-accessible fridges, on-site babysitters and augmented reality (AR) glasses could also be used in 2050 offices.

Unmanned aerial vehicles (UAVs), also known as drones, can help humans to tackle a variety of real-world problems; for instance, assisting them during military operations and search and rescue missions, delivering packages or exploring environments that are difficult to access. Conventional UAV designs, however, can have some shortcomings that limit their use in particular settings.

For instance, some UAVs might be unable to land on uneven terrains or pass through particularly narrow gaps, while others might consume too much power or only operate for short amounts of time. This makes them difficult to apply to more complex missions that require reliably moving in changing or unfavorable landscapes.

Researchers at Zhejiang University have recently developed a new unmanned, wheeled and hybrid that can both roll on the ground and fly. This unique system, introduced in a paper pre-published on arXiv, is based on a unicycle design (i.e., a cycling vehicle with a single wheel) and a rotor-assisted turning mechanism.

These folks engineering a much better way to deliver your basically anything. If you want to engineer your own creations with me every month, just head to https://www.crunchlabs.com where you can get 2 boxes FREE!

Again, this was not sponsored in anyway nor did they pay for any of my travel or accommodations but if you want to learn more about Zipline here is their website-https://www.flyzipline.com/

Ponder — https://soundcloud.com/prodbyponder.
Laura Shigihara — @supershigi.
Andrew Applepie — https://soundcloud.com/andrewapplepie.
Blue Wednesday — https://soundcloud.com/bluewednesday

Robots are all around us, from drones filming videos in the sky to serving food in restaurants and diffusing bombs in emergencies. Slowly but surely, robots are improving the quality of human life by augmenting our abilities, freeing up time, and enhancing our personal safety and well-being. While existing robots are becoming more proficient with simple tasks, handling more complex requests will require more development in both mobility and intelligence.

Columbia Engineering and Toyota Research Institute computer scientists are delving into psychology, physics, and geometry to create algorithms so that robots can adapt to their surroundings and learn how to do things independently. This work is vital to enabling robots to address new challenges stemming from an aging society and provide better support, especially for seniors and people with disabilities.

A longstanding challenge in computer vision is object permanence, a well-known concept in psychology that involves understanding that the existence of an object is separate from whether it is visible at any moment. It is fundamental for robots to understand our ever-changing, dynamic world. But most applications in computer vision ignore occlusions entirely and tend to lose track of objects that become temporarily hidden from view.

Stranded with no obvious way out, the man came up with a plan on how to alert rescuers to his situation. He attached his cellphone to a drone he had in his vehicle. He typed out a text on his phone to a friend describing what had happened and his exact location. Then he hit send on the text and launched the drone several hundred feet into the air. That high up, the phone was able to connect to service and send the text.

The man’s friend received the text, reached out to authorities and rescue crews were able to locate the man and rescue him. During the rescue trip, crews also found and rescued another driver who’d been stranded nearby in the snow for multiple days.

Imagine a world with precision medicine, where a swarm of microrobots delivers a payload of medicine directly to ailing cells. Or one where aerial or marine drones can collectively survey an area while exchanging minimal information about their location.

One early step towards realizing such technologies is being able to simultaneously simulate swarming behaviors and synchronized timing—behaviors found in slime molds, sperm and fireflies, for example.

In 2014, Cornell researchers first introduced a simple model of swarmalators—short for “swarming oscillator”—where particles self-organize to synchronize in both time and space. In the study, “Diverse Behaviors in Non-uniform Chiral and Non-chiral Swarmalators,” which published Feb. 20 in the journal Nature Communications, they expanded this model to make it more useful for engineering microrobots; to better understand existing, observed biological behaviors; and for theoreticians to experiment in this field.

Last week, Microsoft researchers announced an experimental framework to control robots and drones using the language abilities of ChatGPT, a popular AI language model created by OpenAI. Using natural language commands, ChatGPT can write special code that controls robot movements. A human then views the results and adjusts as necessary until the task gets completed successfully.

In a demonstration video, Microsoft shows robots—apparently controlled by code written by ChatGPT while following human instructions—using a robot arm to arrange blocks into a Microsoft logo, flying a drone to inspect the contents of a shelf, or finding objects using a robot with vision capabilities.

Find a counter-intuitive way to strike the enemy while increasing the chance of survival for the crew.

Researchers at the Nanjing University of Aeronautics and Astronautics turned to artificial intelligence (AI) to simulate aerial dogfights using hypersonic aircraft. In the simulation, the aircraft flew at speeds between Mach 5 to Mach 11 or up to 11 times the speed of sound, the South China Morning Post.

The advent of drones or autonomous vehicles has already changed the nature of warfare today. During the ongoing conflict in Ukraine, Russia has successfully deployed cheaply assembled drone swarms to attack critical infrastructure.


~UserGI15994093/ iStock.