We first need to understand how the brain works if we want true AI. Next, this sensory input gets taken up by tens of thousands of cortical columns, each with a partial picture of the world.
They compete and combine via a sort of voting system to build up an overall viewpoint. That’s the thousand brains idea. In an AI system, this could involve a machine controlling different sensors—vision, touch, radar and so on—to get a more complete model of the world. Although, there will typically be many cortical columns for each sense, such as vision. Then there’s continuous learning, where you learn new things without forgetting previous stuff. AI Technique Copies Human Memory To Minimize Data Storage Burden. Artificial intelligence (AI) experts at the University of Massachusetts Amherst and the Baylor College of Medicine report that they have successfully addressed what they call a "major, long-standing obstacle to increasing AI capabilities" by drawing inspiration from a human brain memory mechanism known as "replay.
" First author and postdoctoral researcher Gido van de Ven and principal investigator Andreas Tolias at Baylor, with Hava Siegelmann at UMass Amherst, write in Nature Communications that they have developed a new method to protect - "surprisingly efficiently" - deep neural networks from "catastrophic forgetting" - upon learning new lessons, the networks forget what they had learned before. Siegelmann and colleagues point out that deep neural networks are the main drivers behind recent AI advances, but progress is held back by this forgetting. They write, "One solution would be to store previously encountered examples and revisit them when learning something new. Reference: These weird, unsettling photos show that AI is getting smarter. Of all the AI models in the world, OpenAI’s GPT-3 has most captured the public’s imagination.
It can spew poems, short stories, and songs with little prompting, and has been demonstrated to fool people into thinking its outputs were written by a human. But its eloquence is more of a parlor trick, not to be confused with real intelligence. Nonetheless, researchers believe that the techniques used to create GPT-3 could contain the secret to more advanced AI. GPT-3 trained on an enormous amount of text data.
What if the same methods were trained on both text and images? Now new research from the Allen Institute for Artificial Intelligence, AI2, has taken this idea to the next level. A robot wrote this entire article. Are you scared yet, human? Sztuczna inteligencja – trzy mity, które trzeba rozbroić. Clearview app lets strangers find your name, info with snap of a photo, report says. What if a stranger could snap your picture on the sidewalk, then use an app to quickly discover your name, address and other details?
A startup called Clearview AI has made that possible, and its app is being used by hundreds of law enforcement agencies in the US, including the FBI, according to a Saturday report in The New York Times. The app, says the Times, works by comparing a photo to a database of more than 3 billion pictures that Clearview says it's scraped off Facebook, Venmo, YouTube and other sites. It then serves up matches, along with links to the sites where those database photos originally appeared. A name might easily be unearthed, and from there other info could be dug up online. Forskare slår larm: Stora risker med AI.
Visualizing Artificial Intelligence - Noun Project. 1.
A Successful Artificial Memory Has Been Created. We learn from our personal interaction with the world, and our memories of those experiences help guide our behaviors.
Experience and memory are inexorably linked, or at least they seemed to be before a recent report on the formation of completely artificial memories. Using laboratory animals, investigators reverse engineered a specific natural memory by mapping the brain circuits underlying its formation. Can you make AI fairer than a judge? Play our courtroom algorithm game. As a child, you develop a sense of what “fairness” means.
It’s a concept that you learn early on as you come to terms with the world around you. Something either feels fair or it doesn’t. But increasingly, algorithms have begun to arbitrate fairness for us. They decide who sees housing ads, who gets hired or fired, and even who gets sent to jail. Consequently, the people who create them—software engineers—are being asked to articulate what it means to be fair in their code. AI can predict when someone will die with unsettling accuracy. Medical researchers have unlocked an unsettling ability in artificial intelligence (AI): predicting a person's early death.
Scientists recently trained an AI system to evaluate a decade of general health data submitted by more than half a million people in the United Kingdom. Then, they tasked the AI with predicting if individuals were at risk of dying prematurely — in other words, sooner than the average life expectancy — from chronic disease, they reported in a new study. The predictions of early death that were made by AI algorithms were "significantly more accurate" than predictions delivered by a model that did not use machine learning, lead study author Dr. Stephen Weng, an assistant professor of epidemiology and data science at the University of Nottingham (UN) in the U.K., said in a statement.
(3) AI Creates Near Perfect Images Of People, Dogs and More. An AI app that “undressed” women shows how deepfakes harm the most vulnerable. AI Trained on Old Scientific Papers Makes Discoveries Humans Missed. This is how AI bias really happens—and why it’s so hard to fix. Over the past few months, we’ve documented how the vast majority of AI’s applications today are based on the category of algorithms known as deep learning, and how deep-learning algorithms find patterns in data.
We’ve also covered how these technologies affect people’s lives: how they can perpetuate injustice in hiring, retail, and security and may already be doing so in the criminal legal system. But it’s not enough just to know that this bias exists. If we want to be able to fix it, we need to understand the mechanics of how it arises in the first place.
AI can predict when someone will die with unsettling accuracy. First Ever Non-invasive Brain-Computer Interface Developed. A team of researchers from Carnegie Mellon University, in collaboration with the University of Minnesota, has made a breakthrough in the field of noninvasive robotic device control.
Using a noninvasive brain-computer interface (BCI), researchers have developed the first-ever successful mind-controlled robotic arm exhibiting the ability to continuously track and follow a computer cursor. Being able to noninvasively control robotic devices using only thoughts will have broad applications, in particular benefiting the lives of paralyzed patients and those with movement disorders. BCIs have been shown to achieve good performance for controlling robotic devices using only the signals sensed from brain implants.
When robotic devices can be controlled with high precision, they can be used to complete a variety of daily tasks. Until now, however, BCIs successful in controlling robotic arms have used invasive brain implants. Reference: Edelman, B. Ian Goodfellow. A few years ago, after some heated debate in a Montreal pub, Ian Goodfellow dreamed up one of the most intriguing ideas in artificial intelligence. By applying game theory, he devised a way for a machine-learning system to effectively teach itself about how the world works. This ability could help make computers smarter by sidestepping the need to feed them painstakingly labeled training data. Goodfellow was studying how neural networks can learn without human supervision. Ian Goodfellow. A few years ago, after some heated debate in a Montreal pub, Ian Goodfellow dreamed up one of the most intriguing ideas in artificial intelligence.
By applying game theory, he devised a way for a machine-learning system to effectively teach itself about how the world works. This ability could help make computers smarter by sidestepping the need to feed them painstakingly labeled training data. Former Google engineer is developing a god based on AI. Economy. A machine has figured out Rubik’s Cube all by itself. Yet another bastion of human skill and intelligence has fallen to the onslaught of the machines. A new kind of deep-learning machine has taught itself to solve a Rubik’s Cube without any human assistance. The milestone is significant because the new approach tackles an important problem in computer science—how to solve complex problems when help is minimal. First some background. The Rubik’s Cube is a three-dimensional puzzle developed in 1974 by the Hungarian inventor Erno Rubik, the object being to align all squares of the same color on the same face of the cube.
It became an international best-selling toy and sold over 350 million units. The puzzle has also attracted considerable interest from computer scientists and mathematicians. Another common challenge is to design algorithms that can solve the cube from any position. The Artificial Intelligence that Composes Like the Beatles and Writes Like J. K. Rowling. Two robotic arms that each hold a pen begin to draw with short strokes on two sheets of paper— two eyes, a mouth and the silhouette of a face. They portray the front and profile view of Eliseo Carrera Bustillo, a 26-year-old student sitting on a stool while two cameras observe and analyse him closely. Both machines imitate the style of their creator—the French artist Patrick Tresset—and it only takes half an hour to finish the portrait and sign it.
One of the fathers of AI is worried about its future. A radical new neural network design could overcome big challenges in AI. Clever AI Hid Data From Its Creators to Cheat at Tasks They Gave It. Artificial intelligence turns brain activity into speech. Inside the world of AI that forges beautiful art and terrifying deepfakes. In the last three weeks, we laid down the basics of AI. To recap: The Risks and Rewards of Artificial Intelligence. Canada and France plan an international panel to assess AI’s dangers. As China and the United States battle to dominate the development of artificial intelligence, Canada and France are asserting themselves as leaders in the escalating ethical debate over the technology. Canada’s prime minister, Justin Trudeau, and Mounir Mahjoubi, the French secretary of state for digital affairs, announced plans for the International Panel on Artificial Intelligence this week at the G7 nations’ meeting in Montreal to discuss the impacts of artificial intelligence.
According to a mandate issued by the prime minister’s office, the ongoing international coalition will bring together AI engineers and other scientists to assess the dangers of the technology and formulate appropriate policies among participating nations. Establishing an AI code of ethics will be harder than people think. Over the past six years, the New York City police department has compiled a massive database containing the names and personal details of at least 17,500 individuals it believes to be involved in criminal gangs. The effort has already been criticized by civil rights activists who say it is inaccurate and racially discriminatory. "Now imagine marrying facial recognition technology to the development of a database that theoretically presumes you’re in a gang," Sherrilyn Ifill, president and director-counsel of the NAACP Legal Defense fund, said at the AI Now Symposium in New York last Tuesday. Lawyers, activists, and researchers emphasize the need for ethics and accountability in the design and implementation of AI systems.
Inside the world of AI that forges beautiful art and terrifying deepfakes. An AI physicist can derive the natural laws of imagined universes. As a student, Galileo famously observed a lamp swinging in Pisa Cathedral and timed its swing against his pulse. He concluded that the period was constant and independent of its amplitude. The first piece of AI-generated art to come to auction. Researchers Just Turned On the World's Most Powerful Computer. Researchers in the UK turned on the most powerful supercomputer designed to mimic the human brain for the first time last week, marking a big step toward replicating the power of the brain with silicon. Using computers to mimic the brain, also known as neuromorphic computing is a rapidly growing area of computer science research that focuses on developing system architectures and specialized computer chips that replicate the way the human brain processes information.
Not only will this allow neuroscientists to create unprecedented models of the brain, but it will also allow roboticists to create robots that can navigate complex environments using computer vision. One of the biggest technical challenges in this regard is creating hardware that can handle the massive parallel processing capacity that defines the fleshy computer in our skulls.
At the heart of the machine is a special computer chip that consists of 18 tightly-packed processor cores. The Great AI Paradox. AI Has Beaten Humans at Lip-reading. Google Cofounder Sergey Brin Warns of AI's Dark Side. The Limits of Artificial Intelligence and Deep Learning. This AI Learns Your Fashion Sense and Invents Your Next Outfit. AI-controlled brain implants help improve people’s memory. Artificial Intelligence: The Complete Guide. Don’t Make Artificial Intelligence Artificially Stupid in the Name of Transparency. The Great AI Paradox. Here are the secrets to useful AI, according to designers. China wants to make the chips that will add AI to any gadget. Philosophical Disquisitions. MIT Technology Review Events - EmTech Digital. A Game of Civilization May Help People Understand AI’s Existential Threat. What Can AI Experts Learn from Buddhism? A New Approach to Machine-Learning Ethics Aims to Find Out. Google’s AI can create better machine-learning code than the researchers who made it.
How AI Will Keep You Healthy. Neural Networks Are Learning What to Remember and What to Forget. Google Has Released an AI Tool That Makes Sense of Your Genome. Artificial Intelligence Seeks An Ethical Conscience. In just 4 hours, Google's AI mastered all the chess knowledge in history. AI Can Be Made Legally Accountable for Its Decisions. Google’s Artificial-Intelligence Wizard Unveils a New Twist on Neural Networks.
How We Feel About Robots That Feel. Put Humans at the Center of AI - MIT Technology Review. Six Oddities of Artificial Intelligence. AI on Culture. Clever Machines Learn How to Be Curious (And Play Super Mario Bros.) AI Shouldn’t Believe Everything It Hears - MIT Technology Review. Graphic Design Is About to Be Upended By AI. We Just Created an Artificial Synapse That Can Learn Autonomously. A Top Poker-Playing Algorithm Is Cleaning Up in China - MIT Technology Review. When artificial intelligence meets human stupidity Olga Russakovsky. AI Learns Sexism Just by Studying Photographs - MIT Technology Review.
Elon Musk Is Very Freaked Out by This Artificial Intelligence System's Victory Over Humans. How Moss Helped Machine Vision Overcome an Achilles’ Heel - MIT Technology Review. Real or Fake? AI Is Making It Very Hard to Know - MIT Technology Review. Chiny: bot ze sztuczną inteligencją znika z sieci za krytykę partii - Bankier.pl. Google's new AI has learned to become "highly aggressive" in stressful situations. 7 Reasons You Should Embrace, Not Fear, Artificial Intelligence.
Artificial Intelligence Is Already a Better Artist Than You Are. Google Created an AI That Can Learn Almost as Fast as a Human. In 2047, Computers Will Have An IQ Of Over 10,000. Google’s Artificial Intelligence Learns “Highly Aggressive” Behaviour & Betrayal Pay Off – Collective Evolution. The Government Isn’t Doing Enough to Solve Big Problems with AI. AI Begins to Understand the 3-D World. Neural Network Learns to Identify Criminals by Their Faces. Google’s AI translation tool seems to have invented its own secret internal language.