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Robot with pincers can detect and remove weeds without harming crops

Artificial intelligence is getting down in the weeds. An AI-powered robot that can distinguish weeds from crops and remove them could eventually be used as an alternative to chemical insecticides.

Kevin Patel and Nihar Chaniyara at tech start-up AutoRoboCulture in Gandhinagar, India, have created a prototype device, called Nindamani, specifically for cauliflower crops.

This Grad Student Used a Neural Network to Write His Papers

I was confident enough to turn it in. However, I then was looking online and found out there’s a really easy way to find out if an essay was written by GPT-2. It’s to feed it to GPT-2 and if it’s able to predict the next words, then it was written by the AI. It’s easier to find out than normal plagiarism.

I knew that the business school had software that they were using to look out for plagiarism in all the essays that are turned in to their online platform, which is how I turned in my essays. So I was slightly worried that the company that sold them the anti-plagiarism software would have made an update.

I don’t think the professors even considered the possibility of GPT-2 writing the essays, but I was slightly worried that the company making the software added a module. But not that much.

How Close We Are to Fully Self-Sufficient Artificial Intelligence

Eric klein.


If you followed the world of pop-culture or tech for some time now, then you know that advances in artificial intelligence are heating up. In reality, AI has been the talk of mainstream pop-culture and sci-fi since the first Terminator movie came out in 1984. These movies present an example of something called “Artificial General Intelligence.” So how close are we to that?

No, not how close are we to when the terminators take over, but how close are we to having an AI capable of navigating nearly any problem it’s presented with.

Xenex robots get stamp of approval for COVID-19 elimination

Xenex Disinfection Services found out today its ultraviolet light technology is 99.9 percent effective in eradicating the virus, according to the Texas Biomedical Research Center.

“This is what the world has been looking for„” says Xenex CEO Morris Miller, “to make sure there’s a device that can actually kill the real virus.”

Xenex robots cost $125,000 and are now being ordered by hospitals, hotels, airlines and even the Governor of Texas.


SAN ANTONIO — A local company has learned its robot completely removes COVID-19 from rooms and masks. Xenex Disinfection Services found out today its ultraviolet light technology is 99. 9 percent effective in eradicating the virus, according to the Texas Biomedical Research Center. “This is what the world has been looking for„” says Xenex CEO Morris Miller, “to make sure there’s a device that can actually kill the real virus. ”.

Air Force Wants 30 Flying Cars in the Next 10 Years

“Most of the vendors have a plan to have a pilot as well as autonomous operations,” he added.

“Since we have put our hand up and said, ‘We want to accelerate this market so that it’s dual-use, the military wants to buy the exact same vehicle that would be available domestically,’ companies have shared with us privately that they have seen the amount of investment given by venture capitalists go up,” Roper said. “And they expect that that will continue the further we go through the door on competition.”

The Air Force plans to request funding for flying car research in the fiscal 2022 budget request, in addition to the research funding the service already set aside for the experiment, he said.

Artificial Intelligence Outperforms Human Intel Analysts In a Key Area

The Pentagon has created top secret military artificial intelligence that has a higher intellect than humans.


A Defense Intelligence Agency experiment shows AI and humans have different risk tolerances when data is scarce.

In the 1983 movie WarGames, the world is brought to the edge of nuclear destruction when a military computer using artificial intelligence interprets false data as an imminent Soviet missile strike. Its human overseers in the Defense Department, unsure whether the data is real, can’t convince the AI that it may be wrong. A recent finding from the Defense Intelligence Agency, or DIA, suggests that in a real situation where humans and AI were looking at enemy activity, those positions would be reversed.

Artificial intelligence can actually be more cautious than humans about its conclusions in situations when data is limited. While the results are preliminary, they offer an important glimpse into how humans and AI will complement one another in critical national security fields.