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Category: information science – Page 138

Luwu Dynamics

Luwu Dynamics products are quadruped robot dogs with 12 degrees of freedom. They are used for teenagers to learn Artificial Intelligence Programming. They can realize omni-directional movement, six-dimensional attitude control, attitude stability and a variety of motion gait. They are internally equipped with 9-axis IMU, joint position sensor and current sensor to feed back their own attitude, joint angle and torque for internal algorithm and secondary development, It can off-line AI functions such as face recognition, image classification, gesture recognition, speech recognition, audio analysis and target tracking, and supports cross platform graphical and python programming.

luwu

Meat cultivated from cow cells is kosher, Israel’s chief rabbi rules

JERUSALEM, Jan 19 (Reuters) — Israel’s chief rabbi has given a kosher stamp of approval this week to a company looking to sell steak grown from cow cells — while effectively taking the animal itself out of the equation.

Cultivated meat, grown from animal cells in a lab or manufacturing plant, has been getting a lot of attention as a way to sidestep the environmental toll of the meat industry and address concerns over animal welfare.

This method, however, has raised questions over religious restrictions, like kashrut in Judaism or Islam’s halal.

Quantum Computing with Neutral Atoms

Why the recent surge in jaw-dropping announcements? Why are neutral atoms seeming to leapfrog other qubit modalities? Keep reading to find out.

The table below highlights the companies working to make Quantum Computers using neutral atoms as qubits:

And as an added feature I am writing this post to be “entangled” with the posts of Brian Siegelwax, a respected colleague and quantum algorithm designer. My focus will be on the hardware and corporate details about the companies involved, while Brian’s focus will be on actual implementation of the platforms and what it is like to program on their devices. Unfortunately, most of the systems created by the companies noted in this post are not yet available (other than QuEra’s), so I will update this post along with the applicable hot links to Brian’s companion articles, as they become available.

ChatGPT Is a Mirror of Our Times

Computers and information technologies were once hailed as a revolution in education. Their benefits are undeniable. They can provide students with far more information than a mere textbook. They can make educational resources more flexible, tailored to individual needs, and they can render interactions between students, parents, and teachers fast and convenient. And what would schools have done during the pandemic lockdowns without video conferencing?

The advent of AI chatbots and large language models such as OpenAI’s ChatGPT, launched last November, create even more new opportunities. They can give students practice questions and answers as well as feedback, and assess their work, lightening the load on teachers. Their interactive nature is more motivating to students than the imprecise and often confusing information dumps elicited by Google searches, and they can address specific questions.

The algorithm has no sense that “love” and “embrace” are semantically related.

Simple neural networks outperform more complex systems for controlling robotic prosthetics

Artificial neural networks that are inspired by natural nerve circuits in the human body give primates faster, more accurate control of brain-controlled prosthetic hands and fingers, researchers at the University of Michigan have shown. The finding could lead to more natural control over advanced prostheses for those dealing with the loss of a limb or paralysis.

The team of engineers and doctors found that a feed-forward neural network improved peak finger velocity by 45% during control of robotic fingers when compared to traditional algorithms not using neural networks. This overturned an assumption that more complex neural networks, like those used in other fields of machine learning, would be needed to achieve this level of performance improvement.

“This feed-forward network represents an older, simpler architecture—with information moving only in one direction, from input to output,” said Cindy Chestek, Ph.D., an associate professor of biomedical engineering at U-M and corresponding author of the paper in Nature Communications.

Quantum computers: How scientists can shield against cyber attacks

Making predictions is never easy, but it is agreed that cryptography will be altered by the advent of quantum computers.

Thirteen, 53, and 433. That’s the size of quantum computers.

Hh5800/iStock.

In fact, the problems used for cryptography are so complex for our present algorithms and computers that the information exchange remains secure for any practical purposes – solving the problem and then hacking the protocol would take a ridiculous number of years. The most paradigmatic example of this approach is the RSA protocol (for its inventors Ron Rivest, Adi Shamir, and Leonard Adleman), which today secures our information transmissions.

Quantum machine learning (QML) poised to make a leap in 2023

Check out all the on-demand sessions from the Intelligent Security Summit here.

Classical machine learning (ML) algorithms have proven to be powerful tools for a wide range of tasks, including image and speech recognition, natural language processing (NLP) and predictive modeling. However, classical algorithms are limited by the constraints of classical computing and can struggle to process large and complex datasets or to achieve high levels of accuracy and precision.

Enter quantum machine learning (QML).

Metformin For Anti-Aging: Disproved & Dangerous!

This might be important. It might not be over for metformin just yet though as a mice study showed that rapamycin combined with metformin removed each other’s side effects.

If you are a non-diabetic who takes metformin for longevity, I highly recommend you stop immediately. Hear me out, and at the end of the video I’ll share what to do instead.

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Artificial Pancreas Developed That Can Help Maintain Healthy Glucose Levels in Type 2 Diabetes Patients

Scientists at the University of Cambridge have successfully trialed an artificial pancreas for use by patients living with type 2 diabetes. The device – powered by an algorithm developed at the University of Cambridge – doubled the amount of time patients were in the target range for glucose compared to standard treatment and halved the time spent experiencing high glucose levels.

Around 415 million people worldwide are estimated to be living with type 2 diabetes, which costs around $760 billion in annual global health expenditure. According to Diabetes UK, more than 4.9 million people have diabetes in the UK alone, of whom 90% have type 2 diabetes, and this is estimated to cost the NHS £10 billion per year.

“Many people with type 2 diabetes struggle to manage their blood sugar levels using the currently available treatments, such as insulin injections. The artificial pancreas can provide a safe and effective approach to help them, and the technology is simple to use and can be implemented safely at home.” —

Generative AI: From Data Generation to Creative Intelligence

A common idea that our creativity is what makes us uniquely human has shaped society but strides of progress made in the domain of Generative Artificial Intelligence question this very notion. Generative AI is an emerging field that involves the creation of original content or data using machine learning algorithms.

As we think about a future where humans and AI partner in iterative creative cycles, we consider how generative AI could impact current businesses and possibly create new ones. Up until recently, machines were relegated to analysis and cognitive roles, but today algorithms are improving at generating original content. These technologies are iterative in principle, one is built on top of the last one, and each new iteration enhances the algorithm and increases the potential for discovery exponentially.

The technology presents itself as a more refined and mature breed of AI that has sent investors into a frenzy and among all this emerges a clear market leader — OpenAI. Its flagship products-ChatGPT and DALL-E proved to be industry disruptors and brought generative AI tools to the masses. DALL-E allows people to generate and edit photo-realistic images simply by describing what they want to see, while ChatGPT does the same through a text medium.