According to the best measures we’ve got, a set of benchmarks called MLPerf, machine learning systems can be trained nearly twice as quickly they could last year. It’s a figure that outstrips Moore’s Law by quite a ways.
Cortical Labs takes neurons from mice and put them on chips, then teaches them how to play ping pong.
Can you make smarter AI systems by combining biological neurons with silicon chips? In this episode of The AI Show with John Koetsier, we’re going to chat with Hon Weng Chong, CEO and co-founder of Cortical Labs and Andy Kitchen, the company’s CTO, about biological AI: mixing real brain cells with silicon computer chips.
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It looks like algorithms can write academic papers about themselves now. We gotta wonder: how long until human academics are obsolete?
In an editorial published by Scientific American, Swedish researcher Almira Osmanovic Thunström describes what began as a simple experiment in how well OpenAI’s GPT-3 text generating algorithm could write about itself and ended with a paper that’s currently being peer reviewed.
Summary: A new robotic system can identify volatile organic compounds associated with diseases by analyzing bodily emissions.
Source: Tsinghua University Press.
Scientists are working on diagnostic techniques that could sniff out chemical compounds from breath, sweat, tears and other bodily emissions and that act as fingerprints of thousands of diseases.
Summary: A new mathematical model that identifies essential connections between neurons reveals some neural networks in the brain are more essential than others.
Source: HHMI
After a career spent probing the mysteries of the universe, a Janelia Research Campus senior scientist is now exploring the mysteries of the human brain and developing new insights into the connections between brain cells.
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In the future we might see the rise of minds entirely on computers, be it uploaded humans, transhumans, or artificial intelligence. But what would such an existence be like? Would they interact with our world or live in entirely virtual realities or simulated universes?
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What else can deepfakes do?We’ve seen examples of deepfakes being used almost to change the course of history when a Zelensky footage emerged back in March and told the Ukrainian army to lay down arms amid the Russian invasion. Fortunately, it was sloppy, and the army didn’t buy that. And now, if you consider what happens when a post-covid world that birthed many remote job opportunities for digital nomads merges with AI, The FBI Internet Crime Complaint Center (IC3) has t… See more.
The Federal Bureau of Investigation (FBI) has warned that some people are using deepfakes to apply for remote tech jobs.
What happens when machines begin to question their origins?
In this short film created with generative art, we explore how artificial intelligence sees the universe, its creators, and its potential futures. I believe the emergence of artistic A.I. has touched off a new era for art that could be as profound as the first cave paintings, 50,000 years ago. If these artistic capabilities are possible after only a few decades of A.I., research, what will the next 50,000 years hold? What will we become?
Continue reading “BINARY DREAMS: How A.I. Sees the Universe” »
Mobile robots are now being introduced into a wide variety of real-world settings, including public spaces, home environments, health care facilities and offices. Many of these robots are specifically designed to interact and collaborate with humans, helping them to complete hands-on physical tasks.
To improve the performance of mobile robots on interactive and manual tasks, roboticists will need to ensure that they can effectively sense stimuli in their environment. In recent years, many engineers and material scientists have thus been trying to develop systems that can artificially replicate biological sensory processes.
Researchers at Scuola Superiore Sant’Anna, Ca’ Foscari University of Venice, Sapienza University of Rome and other institutes in Italy have recently used an artificial skin and a deep learning technique that could be used to improve the tactile capabilities of both existing and newly developed robots to replicate the function of the so-called Ruffini receptors. Their approach, introduced in a paper published in Nature Machine Intelligence, replicates the function of a class of cells located on the human superficial dermis (i.e., subcutaneous skin tissue), known as Ruffini receptors.
Memristors in microchips boost computing capacity, processing speeds and energy efficiency, bringing a bundle of possibilities to artificial intelligence and the internet of things.
