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Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards, monitor cities and find survivors of natural disasters.

To tackle all of these missions effectively, UAVs should be able to reliably detect targets and objects of interest in their surroundings. Computer scientists have thus been trying to devise new computational techniques that could enable these capabilities, using deep learning or other approaches.

Researchers at Yunnan University and the Chinese Academy of Sciences recently introduced a new object-detection system based on edge computing. Their proposed system, introduced in the IEEE Internet of Things Journal, could provide UAVs with the ability to spot relevant objects and targets in their surroundings without significantly increasing their power-consumption.

Elon Musk’s rocket manufacturing company SpaceX has completed 60 launches this year, much to the CEO’s excitement.

What Happened: SpaceX’s Falcon 9 rocket launched 22 Starlink satellites to low-Earth orbit from Florida on Thursday at about 10:21 p.m. ET, marking the company’s 60th launch this year.

“Congrats to the SpaceX team on launch 60 of 2023!” Musk wrote.

Examples the team gives include choosing an object to use as a hammer when there’s no hammer available (the robot chooses a rock) and picking the best drink for a tired person (the robot chooses an energy drink).

“RT-2 shows improved generalization capabilities and semantic and visual understanding beyond the robotic data it was exposed to,” the researchers wrote in a Google blog post. “This includes interpreting new commands and responding to user commands by performing rudimentary reasoning, such as reasoning about object categories or high-level descriptions.”

The dream of general-purpose robots that can help humans with whatever may come up—whether in a home, a commercial setting, or an industrial setting—won’t be achievable until robots can learn on the go. What seems like the most basic instinct to us is, for robots, a complex combination of understanding context, being able to reason through it, and taking actions to solve problems that weren’t anticipated to pop up. Programming them to react appropriately to a variety of unplanned scenarios is impossible, so they need to be able to generalize and learn from experience, just like humans do.

For the first time in my timezone, SpaceX completed 9 launches in a month. Previously, if you were based in Europe, you saw 9 launches in a month a few months ago. At 9 launches/month that is a current rate of 108 launches/year, making SpaceX’s goal of 100 launches this year a possibility.

They had a lot of trouble getting this flight off today as a recent hurricane is still affecting the weather some. They got around this by having a 5 and a half hour launch window so they just waited a few hours until the weather was clear for several minutes and they launched!

They were supposed to launch today from California as well but weather stopped this and they will be launching from California… More.


A SpaceX Falcon 9 rocket is set to lift the next batch of 22 Starlink v2 Mini satellites into orbit at a 43 degree inclination on a southeastern trajectory from SLC-40. The window opens August 31 at 7:31PM EDT and closes at 01:01AM EDT.

Article:

Digital sociology explores the interplay between digital technology, social behaviors, and societal structures. As an emerging discipline, it delves into how online interactions, social media platforms, and digital tools shape and reflect cultural dynamics, personal identities, and group norms. Digital sociologists analyze trends in cyber communities, the implications of digital data collection, and the broader impact of the internet on social evolution.

In this age of rapid technological advancement — where we find ourselves in the midst of a Digital Revolution and most recently, in an AI Revolution, the fast-spinning changes in society require analysis and understanding. Digital sociology provides critical insights into the multifaceted relationship between technology and the fabric of society.

Experts warn that AI-generated content may pose a threat to the AI technology that produced it.

In a recent paper on how generative AI tools like ChatGPT are trained, a team of AI researchers from schools like the University of Oxford and the University of Cambridge found that the large language models behind the technology may potentially be trained on other AI-generated content as it continues to spread in droves across the internet — a phenomenon they coined as “model collapse.” In turn, the researchers claim that generative AI tools may respond to user queries with lower-quality outputs, as their models become more widely trained on “synthetic data” instead of the human-made content that make their responses unique.

Other AI researchers have coined their own terms to describe the training method. In a paper released in July, researchers from Stanford and Rice universities called this phenomenon the “Model Autography Disorder,” in which the “self-consuming” loop of AI training itself on content generated by other AI could result in generative AI tools “doomed” to have their “quality” and “diversity” of images and text generated falter. Jathan Sadowski, a senior fellow at the Emerging Technologies Research Lab in Australia who researches AI, called this phenomenon “Habsburg AI,” arguing that AI systems heavily trained on outputs of other generative AI tools can create “inbred mutant” responses that contain “exaggerated, grotesque features.”

#ted.
#wifi.
#internet.

What about 102,400 MBPS or 100GBPS. This is the speed of data transfer that you can achieve with LiFi Technology. With LiFi you can download 100 movies in just one second.
How’s this incredible internet speed possible?
It is possible with LED lights.
Watch this video till the end for a detailed introduction and truths of LiFi technology.

NEW HERE! TRY THIS STUFF
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Warp Drive Technology.
Eye as a Camera.
- https://www.youtube.com/watch?v=3Ur6HoAN3Vo.
Artificial Blood.
- https://www.youtube.com/watch?v=MX3LU0ClFPw&t=24s.
Wireless Electricity.
- https://www.youtube.com/watch?v=zGna5lTkBuc&t=65s.

📑 REFERENCES:
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[1] The Technology of LiFi — E Ramadhani and G P Mahardika 2018 IOP Conf. Ser.: Mater. Sci. Eng. 325 012013
- https://bit.ly/3yMqSK9
[2] How Wireless Communication Works.
- https://bit.ly/3uUZZmq.
[3] Spectrum Crunch FAQ
- https://bit.ly/3AUCz47
[4] A Review Paper on LiFi Technology — Volume 5, Issue 23, International Journal of Engineering Research & Technology (IJERT)
- https://bit.ly/3yCAEP6
[5] LiFi Study Paper Approved.
- https://bit.ly/3uOHLCL
[6] LiFi vs WiFI
- https://bit.ly/3II3zWt.
[7] LiFi Pros and Cons.
- https://bit.ly/3oaPsQd.
[8] How Does LiFi Work?
- https://bit.ly/3o8t3De.
[9] What is LiFi?
- https://bit.ly/3aJam5P
[10] LiFi Wikipedia.
- https://bit.ly/3cmhe9u.

WHO ARE WE?

If your mother says she loves you: check it.

A couple weeks ago, I asked Vergecast.

What I was not expecting was for so many people to send me versions of a video that shows a banana getting stitches in a robotic surgery device, with the captions claiming that the surgery is being done remotely over 5G. This video has had an … More.


Meet Dr. Kais Rona, who is as befuddled by the lie appended to his video as anyone else.

NotebookLM is a neat research tool with some big ideas. It’s still rough and new, but it feels like Google is onto something.

What if you could have a conversation with your notes? That question has consumed a corner of the internet recently.

Google’s version of this is called NotebookLM. It’s an AI-powered research tool that is meant to help you organize and interact with your own notes. (Google originally announced it earlier this year as Project Tailwind but quickly changed the name.) Right now, it’s really just a… More.


NotebookLM gives you a chatbot for your personal docs, and it’s already pretty helpful.

Metasurfaces, artificially engineered surfaces that can manipulate electromagnetic signals in unique ways, have huge potential for several technological applications, including the implementation of sixth generation (6G) cellular communications. The limitations and vulnerabilities of these smart surfaces, however, are still poorly understood.

Researchers at Peking University, University of Sannio and Southeast University recently carried out a study aimed at better understanding the vulnerability of metasurfaces to wireless cyber-attacks. Their paper, published in Nature Electronics, outlines two types of attacks that should be considered and accounted for before metasurfaces can be deployed on a large-scale.

“This work was primarily driven by the need for enhancing security and privacy of in the upcoming 6G era, characterized by unprecedented speeds, ultra-low latency, and vast connection nodes,” Lianlin Li, Vincenzo Galdi and Tie Jun Cui, three of the researchers who carried out the study, told Tech Xplore.