Lifeboat Foundation

Unlike many of the so-called “artists” strewing junk around the halls of modern art museums, Jordan Tanner is actually pushing the frontiers of his craft. His eclectic portfolio includes vaporwave-inspired VR experiences, NFTs & 3D-printed figurines for Popular Front, and animated art for this very magazine. His recent AI-generated art made using OpenAI’s DALL-E software was called “STUNNING” by Lee Unkrich, the director of Coco and Toy Story 3.

We interviewed the UK-born, Israel-based artist about the imminent AI-generated art revolution and why all is not lost when it comes to the future of art. In Tanner’s eyes, AI-generated art is similar to having the latest, flashiest Nikon camera—it doesn’t automatically make you a professional photographer. Tanner also created a series of unique, AI-generated pieces for this interview which can be enjoyed below.

Continue reading “The Future of AI-Generated Art Is Here: An Interview With Jordan Tanner” »

Advances in artificial-intelligence-based technologies have led to an astronomical increase in the amounts of data available for processing by computers. Existing computing methods often process data sequentially and therefore have large time and power requirements for processing massive quantities of information. Hence, a transition to a new computing paradigm is required to solve such challenging issues. Researchers are currently working towards developing energy-efficient neuromorphic computing technologies and hardware that are capable of processing massive amounts of information by mimicking the structure and mechanisms of the human brain.

The Korea Institute of Science and Technology (KIST) has reported that a research team led by Dr. Jung ah Lim and Dr. Hyunsu Ju of the Center for Opto-electronic Materials and Devices has successfully developed organic neurofiber transistors with an architecture and functions similar to those of neurons in the human brain, which can be used as a neural network. Research on devices that can function as neurons and synapses is needed so that large-scale computations can be performed in a manner similar to data processing in the human brain. Unlike previously developed devices that act as either neurons or synapses, the artificial neurofiber transistors developed at KIST can mimic the behaviors of both neurons and synapses. By connecting the transistors in arrays, one can easily create a structure similar to a neural network.

Biological neurons have fibrous branches that can receive multiple stimuli simultaneously, and signal transmissions are mediated by ion migrations stimulated by electrical signals. The KIST researchers developed the aforementioned artificial neurofibers using fibrous transistors previously developed by them in 2019. They devised memory transistors that remember the strengths of the applied electrical signals, similar to synapses, and transmit them via redox reactions between the semiconductor channels and ions within the insulators upon receiving the electrical stimuli from the neurofiber transistors. These artificial neurofibers also mimic the signal summation functionality of neurons.

A surgical tool currently in clinical trials will slice fake flesh in space — providing groundbreaking new tech for space-based medical emergencies.

Over the past decade, digital cameras have been widely adopted in various aspects of our society, and are being massively used in mobile phones, security surveillance, autonomous vehicles, and facial recognition. Through these cameras, enormous amounts of image data are being generated, which raises growing concerns about privacy protection.

Some existing methods address these concerns by applying algorithms to conceal sensitive information from the acquired images, such as image blurring or encryption. However, such methods still risk exposure of sensitive data because the raw images are already captured before they undergo digital processing to hide or encrypt the sensitive information. Also, the computation of these algorithms requires additional power consumption. Other efforts were also made to seek solutions to this problem by using customized cameras to downgrade the image quality so that identifiable information can be concealed. However, these approaches sacrifice the overall image quality for all the objects of interest, which is undesired, and they are still vulnerable to adversarial attacks to retrieve the sensitive information that is recorded.

A new research paper published in eLight demonstrated a new paradigm to achieve privacy-preserving imaging by building a fundamentally new type of imager designed by AI. In their paper, UCLA researchers, led by Professor Aydogan Ozcan, presented a smart camera design that images only certain types of desired objects, while instantaneously erasing other types of objects from its images without requiring any digital processing.

This week our guest is NBC technology correspondent, Jacob Ward, who recently released his book, The Loop: How Technology Is Creating a World Without Choices and How to Fight Back. In this episode we focus broadly on the ways in which technology and AI are learning from the worst instincts of human beings, and then using those bad behaviors to shape our future choices. As a result, Jacob suggests this creates feedback loops of increasingly limited and increasingly short-sighted behavior. This conversation includes exploring topics such as big data, bad incentives for programmers, profit motives, historical bias reflected in data, system 1 vs system 2 thinking, and much more.

Find out more about Jacob at jacobward.com or follow him on Twitter at twitter.com/byjacobward ** Host: Steven Parton — LinkedIn / Twitter Music by: Amine el Filali.

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Welcome to our free science videos for teens and pre-teens, hosted by the interactive online science program for young explorers, Art of Inquiry!
www.artofinquiry.net.

Our speaker, Dr. Joscha Bach talks with the Art of Inquiry students about his work.

Continue reading “General Artificial Intelligence with Dr. Joscha Bach, AI Foundation” »

Circa 2017 Basically this not about cheating but artificial intelligence helping students with their homework with perfect accuracy which is monumental.

Teachers are being forced to adapt to Wolfram Alpha, which executes homework perfectly and whose use almost impossible to detect.

A group of scientists from the University College London has developed an artificial intelligence (AI) algorithm that can detect drug-resistant focal cortical dysplasia (FCD), a subtle anomaly in the brain that leads to epileptic seizures. This is a promising step for scientists toward detecting and curing epilepsy in its early stages.

To develop the algorithm, the Multicentre Epilepsy Lesion Detection project (MELD) gathered more than 1,000 patients’ MRI scans from 22 international epilepsy centers, which reports where anomalies are in cases of drug-resistant focal cortical dysplasia (FCD), a major reason behind epilepsy.

Functioning in curved space, the robot heralds new space locomotive technology possibilities without the use of propellants.

A robot engineered at Georgia Institute of Technology (Georgia Tech) has done the unthinkable and flouted a steadfast law of motion, suggesting that new laws need to be defined. Such new principles may have applications in new forms of locomotion without propellants.

We’ve all seen the hilarious slapstick gag where the unwitting individual steps on a banana peel, landing comically on their rump. It may not seem like it, but the quip relies on the fact that human locomotion, like all locomotion, is based on Newton’s third law of motion.

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