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Structures made out of building blocks can shift their shape and autonomously self-organize to a new configuration. The physicists Saeed Osat and Ramin Golestanian from the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) revealed this mechanism which may be used to actively manipulate molecular organization. A seed of the novel desired configuration is sufficient to trigger reorganization.

This principle can be applied on to biological blocks which are constantly recycled to form new structures in living systems.

The concept of remodeling is familiar to most people: those who have ever played with Lego bricks know that many combinations and structures possible from the same components.

Soft robots have phenomenally advanced in recent years. Microscale soft robots designated to navigate difficult paths and perform biological functions in the human body could have profound potential biomedical applications such as surgery, prosthetics, and pain relief.

Currently, the intrinsic functionalization of bio-inspired is based on elastomeric materials such as silica gel, which requires introducing bulky components and extensive processing steps. They have major limitations in their extent of deformability as compared to their natural biological counterparts.

A research team led by Professor Anderson H.C. Shum from the Department of Mechanical Engineering at the University of Hong Kong (HKU) and Professor Thomas P. Russell from Lawrence Berkeley National Laboratory has invented an all-water robotic system that resolves these constraints through revolutionary scientific advances.

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00:00 Intro.

On Thursday, a pair of tech hobbyists released Riffusion, an AI model that generates music from text prompts by creating a visual representation of sound and converting it to audio for playback. It uses a fine-tuned version of the Stable Diffusion 1.5 image synthesis model, applying visual latent diffusion to sound processing in a novel way.

Since a sonogram is a type of picture, Stable Diffusion can process it. Forsgren and Martiros trained a custom Stable Diffusion model with example sonograms linked to descriptions of the sounds or musical genres they represented. With that knowledge, Riffusion can generate new music on the fly based on text prompts that describe the type of music or sound you want to hear, such as “jazz,” “rock,” or even typing on a keyboard.

Many of us are guilty of giving up on a game because of a long grind or seemingly insurmountable challenge, but Sony’s latest patent shows the company wants to change that.

Some masochists enjoy the pain of being repeatedly beaten in games like Dark Souls – it’s understandable, overcoming those challenges is a great feeling – but most of us have a breaking point where the power button gets hit and the game just ends up collecting dust on a shelf.

Using a quantum processor, researchers made microwave photons uncharacteristically sticky. After coaxing them to clump together into bound states, they discovered that these photon clusters survived in a regime where they were expected to dissolve into their usual, solitary states. As the finding was first made on a quantum processor, it marks the growing role that these platforms are playing in studying quantum dynamics.

Photons — quantum packets of electromagnetic radiation like light or microwaves — usually don’t interact with one another. For example, two crossed flashlight beams pass through one another undisturbed. However, microwave photons can be made to interact in an array of superconducting qubits.

Researchers at Google Quantum AI describe how they engineered this unusual situation in “Formation of robust bound states of interacting photons,” which was published on December 7 in the journal Nature. They investigated a ring of 24 superconducting qubits that could host microwave photons. By applying quantum gates to pairs of neighboring qubits, photons could travel around by hopping between neighboring sites and interacting with nearby photons.

The buzz will likely ramp up even more when OpenAI releases a superior next version of the A.I. chatbot, reportedly sometime next year.

Speaking of buzz, few people have been generating more of it lately than Elon Musk, who leads Tesla, SpaceX, and now Twitter, among other companies. As it turns out, Musk has ties to OpenAI, including as an original backer, and has been involved in both supporting artificial intelligence and warning about its dangers.

This month Musk called ChatGPT “scary good” and warned, “We are not far from dangerously strong AI.”

AI is used by the robotic solution to swiftly adapt to all types of blades used in the sector.

Danish energy solutions provider Vestas has unveiled BladeRobots as a stand-alone business with an automated robotic technology solution for the maintenance of wind turbines.

The robot performs automated blade-leading edge maintenance up to “four times faster” than traditional manual methods, according to a press release by the company published on Wednesday.

After all, the AI chatbot seems to be slaying a great deal of search engine responses.

ChatGPT is the latest and most impressive artificially intelligent chatbot yet. It was released two weeks ago, and in just five days hit a million users. It’s being used so much that its servers have reached capacity several times.

But what if we never know the secret sauce behind ChatGPT’s capabilities?


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OpenAI, the company that developed it, is already being discussed as a potential Google slayer. Why look up something on a search engine when ChatGPT can write a whole paragraph explaining the answer? (There’s even a Chrome extension that lets you do both, side by side.)