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A waveguide sculpted in air with lasers transmits light over a distance of nearly 50 meters, which is 60 times farther than previous air-waveguide schemes.

Conventional optical waveguides such as optical fibers and planar waveguides consist of a core surrounded by a cladding with a lower index of refraction. Light is efficiently confined in the core by total internal reflection at the core-cladding boundary. Optical fibers can transport light over 100s of kilometers, but there are applications—such as high-power transmission and atmospheric monitoring—where the use of fibers becomes impractical. Sending light directly through air is not an option, as diffraction effects cause the beam to spread out. A potential solution is to “sculpt” waveguides in the air with laser pulses that produce a low-density cladding around a central core of unperturbed air. Using a new method with donut-shaped beams, Andrew Goffin from the University of Maryland, College Park, and colleagues have created a 45-m-long waveguide in air [1], reaching 60 times farther than the record they previously established for an air waveguide.

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Breakthrough Google DeepMind Adaptive AI agents, known as AdA, are able to learning millions of tasks within minutes each with reinforcement learning, matching the speed and ability of a skilled human gamer, all without using training data. A New InstructPix2Pix text to image artificial intelligence can do photo editing with simple text instructions. A new dataset called OMMO enables novel view synthesis, surface reconstruction, and multi-modal NeRF.

AI News Timestamps:
0:00 New Google DeepMind Reinforcement Learning AI
3:11 New InstructPix2Pix Artificial Intelligence.
6:29 OMMO NeRF View Synthesis.

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A new stage in the history of AI marked by the emergence of a new type of hype.

Microsoft made a multibillion dollar investment in OpenAI, the creator of ChatGPT, reigniting an old rivalry with Google. The move also set off an “AI arms race” that puts Google at risk. FT explains.

Recycled steel scrap is a low-emitting source of the metal – but we must improve how it is collected and produced in order to help decarbonize the steel industry.

The 2020s are the nascent era of Drug discovery sped up by machine learning.

Even a simple movement like pushing a button sends ripples of activity throughout networks of neurons spanning across the brain, new University of Oregon research shows.

The finding highlights just how complex the human brain is, challenging the simplified textbook picture of distinct brain areas dedicated to specific functions.

“It’s really well known that that the primary motor cortex controls movement output,” said Alex Rockhill, a graduate student in the lab of human physiology professor Nicki Swann. “But there’s a lot more to movement than this one brain area.”

“The future of AI is much bigger than anyone realizes — not just in terms of technology, but in its impact on society as a whole.” — Mark Zuckerberg

Prompt engineering is a process of crafting optimized input texts (prompts) to generate accurate results from the artificial intelligence model. By the launch of ChatGPT, prompt engineering is the booming term in internet. Actually what is its deep meaning and is it be the future of AI. Prompt engineering is a relatively new field that focuses on the design and development of systems that can generate human-like prompts, such as text, speech, and images. These prompts can be used to interact with users in a more natural and intuitive way, making it easier for them to understand and use AI-powered systems.

By the advance of artificial intelligence models like ChatGPT, midjourney and stable diffusion which are enriched with high potential people are confused how to use it and what are the optimized prompts that could be used to extract the full potential of these models. One key aspect of prompt engineering is data preprocessing and preparation. This includes cleaning, normalizing, and formatting the data used to train the model, so that it is in the right format and of high quality.