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You can demonstrate a subjective quality like redness is different from red light. If you add a device that converts a red signal into a green one, between the retina and the optic nerve, the strawberry will seem green. It’s not about light hitting the retina, it’s about how the signal is processed. In this case, the greenness must be a quality of our conscious knowledge of the strawberry, not of the red light landing on the retina. If you use sufficient, well defined terminology, you can objectively communicate the nature of subjective qualities. For example, even though you know what it is like to see something that is red you cannot know that what happens inside my brain is the same as yours. It may be that “My redness is like your greenness, both of which we call red.” The properties of the red light are the same, but the experience the light produces could be different.

Researchers are exploring how large language models (LLMs) can generate social networks, which are crucial for applications like epidemic modeling and social simulations.


Contribute to snap-stanford/llm-social-network development by creating an account on GitHub.

Artificial intelligence (AI) is on the brink of reaching a new significant milestone. A team of researchers aims to develop artificial general intelligence (AGI), capable of surpassing human intelligence in various fields, by establishing a global network of ultra-powerful supercomputers. This project, led by SingularityNET, will commence in September with the launch of the first supercomputer specifically designed for this purpose.

Footage making the rounds on social media shows what appear to be astonishingly lifelike humanoid robots posing at the World Robot Conference in Beijing last week.

But instead of showing off the latest and greatest in humanoid robotics, two of the “robots” turned out to be human women cosplaying as futuristic gynoids, presumably hired by animatronics company Ex-Robots.

“Many people think these are all robots without realizing they’re actually two human beings cosplayed as robots among the animatronics,” reporter Byron Wan tweeted.

Year 2022 face_with_colon_three


It might seem that the world’s landmasses are fixed, but as Richard Fisher discovers, there are major changes coming.

Nearly 500 years ago, the Flemish cartographer Geradus Mercator produced one of the world’s most important maps.

It certainly wasn’t the first attempt at a world atlas, and it was not particularly accurate either: Australia is absent, and the Americas are only roughly drawn. Since then, cartographers have produced ever-more precise versions of this continental arrangement, correcting for Mercator’s errors, as well the biases between hemispheres and latitudes created by his projection. But Mercator’s map, along with others produced by his 16th-Century contemporaries, revealed a truly global picture of Earth’s landmasses – a perspective that has persisted in people’s minds ever since.

As an undergraduate he was drawn to theory, but he quickly switched to experiment.

“Theory was good, but I was driven to experimental particle physics because even if I write a theory, someone has to test it anyway,” says Gandrakota, who is now a postdoc at the US Department of Energy’s Fermi National Accelerator Laboratory. “I’d rather be the person who tests and finds stuff than the person who predicts it.”

But he never lost his soft spot for theoretical physics. Today, Gandrakota and his colleagues on the CMS experiment are developing a machine-learning tool that will allow theorists even more freedom and creativity.

A pen that can transform Braille into English text has been developed by experts at the University of Bristol.

Braille literacy is frequently reported as being in decline. This is despite visually impaired people often expressing a desire to learn it, and Braille literacy being a highly valued skill by those who are capable. This is often attributed to the lack of available learning resources, particularly away from large urban centers.

The handheld device, which includes a one-centimeter sensor with 19 channels programmed to read Braille, has demonstrated high accuracy in early trials.

MIT’s soft drone flies and grasps, swiftly picking up a bottle in a demo video:


Interestingly, the drone’s new capabilities allow it to catch objects that are moving at speeds of up to 0.3 meters per second.

Researchers have been developing drones that can perch on surfaces and perform tasks such as inspecting structures and collecting DNA samples from trees. Surprisingly, this drone can do this in the near future. The video shows the drone hovering over a table, reaching out with its gripper, and successfully gripping a bottle.