Intelligent beings learn by interacting with the world. Artificial intelligence researchers have adopted a similar strategy to teach their virtual agents new tricks. The post By Exploring Virtual Worlds, AI Learns in New Ways first appeared on Quanta Magazine

A robot that learned to manipulate clay to make letters of the alphabet without any training could one day make dumplings for you

Theoretical scientists have used topological mathematics and machine learning to identify a hidden relationship between nano-scale structures and thermal conductivity in amorphous silicon, a glassy form of the material with no repeating crystalline order.

Researchers tricked out conventional camera traps to snap headshots of Puma concolor, revealing a better way to track the elusive species. -- Read more on ScientificAmerican.com

Around a year and a half ago, Yann LeCun realized he had it wrong.  LeCun, who is chief scientist at Meta’s AI lab and one of the most influential AI researchers in the world, had been trying to give machines a basic grasp of how the world works—a kind of common sense—by training neural networks…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Yann LeCun has a bold new vision for the future of AI Around a year and a half ago, Yann LeCun realized he had it wrong. LeCun, who is chief scientist at Meta’s…

New research proposes a new direction to overcome limitations of machine learning.

Babies can help unlock the next generation of artificial intelligence (AI), according to neuroscientists who have just published new guiding principles for improving AI. The research examines the neuroscience and psychology of infant learning and distills three principles to guide the next generation of AI, which will help overcome the most pressing limitations of machine learning.

Just under 402 years ago, in August of 1620, the Mayflower set sail from Southampton, England, bound for America. The 100-foot-long-long, triple-masted wooden vessel with canvas sails took more than two months to cross the Atlantic. It carried 102 passengers, had a max speed of three knots an hour (that’s about 6 kilometers or 3.7 […]

A pair of researchers at Fudan University in China has used machine learning to narrow the list of possible improved tunneling interface configurations for use in transistors. They have published their results in Physical Review Letters.

Researchers from the University of Electronic Science and Technology of China have developed an AI method that can automatically detect plaque erosion in the heart’s arteries using optical coherence tomography (OCT). “If cholesterol plaque lining arteries starts to erode, it can lead to a sudden reduction in blood flow to the heart, known as acute coronary syndrome, which requires urgent treatment,” said research team leader Zhao Wang. “Our new method could help improve the clinical diagnosis of plaque erosion and be used to develop new treatments for patients with heart disease.” Researchers developed an AI method to automatically detect plaque erosion in arteries using OCT images. This type of...

Not only could this new tool help with the difficult job of altering proteins in practically useful ways, but it also works by methods that are fully interpretable - an advantage over the conventional artificial intelligence that has aided with protein engineering in the past.

Ryan Day studies superconductors. Materials that conduct electricity perfectly, losing no energy to heat and resistance. Specifically, the University of California, Berkeley scientist studies how superconductors can coexist with their opposites; insulating materials that stop the flow of electrons.

Quantum computers are one of the key future technologies of the 21st century. Researchers have developed a new technology for manipulating light that can be used as a basis for future optical quantum computers.

Artificial intelligence that creates realistic three-dimensional images could be run on a laptop and make it faster and easier to create animated films

By harnessing the power of “good” data over “big” data, manufacturers with limited data sets can use machine vision for quality inspection. This is the premise of the keynote address to be delivered by globally recognized AI visionary Andrew Ng for the second annual Vision Spectra Conference (VSC), which will be held online July 19-21. The founder and CEO of Landing AI underscores how most AI models rely on huge data sets such as those amassed by Google, Facebook, and Amazon. But manufacturers do not always have access to the large amount of data that is needed to feed AI engines to target specific issues. By using the data-centric AI approach that Ng pioneered, 50 good images can be as effective as 500 bad...

A robot operating with a popular Internet-based artificial intelligence system consistently gravitates to men over women, white people over people of color, and jumps to conclusions about peoples' jobs after a glance at their face. The work is believed to be the first to show that robots loaded with an accepted and widely-used model operate with significant gender and racial biases.

Throughout the middle of the 20th century, phosphorus inputs from detergents and fertilizers degraded the water quality of Switzerland's Lake Geneva, spurring officials to take action to remediate pollution in the 1970s.

Trapped-ion quantum computers are quantum devices in which trapped ions vibrate together and are fully isolated from the external environment. These computers can be particularly useful for investigating and realizing various quantum physics states.

“Nay, nay, I say! This cannot be, That machines should e’er surpass our art. We are the masters, them the slaves, And thus it ever shall be so! They learn, ‘tis true, but they learn Only what we bid them learn, no more. They cannot understand the heart Or beauty of our words, you see. […]

A combination of ecological field methods and cutting-edge artificial intelligence has helped an interdisciplinary research group detect eelgrass-wasting

Developing new thin semiconductor materials requires a quantitative analysis of a large amount of reflection high-energy electron diffraction

Artificial intelligence has changed the way science is done by allowing researchers to analyze the massive amounts of data modern scientific instruments generate. It can find a needle in a million haystacks of information and, using deep learning, it can learn from the data itself. AI is accelerating advances in gene hunting, medicine, drug design and the creation of organic compounds.

An international team of researchers have used AI to map signals across the entire genome that herald the beginnings of cancer. The researchers, who say that their algorithm is similar to that used by Netflix, have identified 21 common faults that occur in human DNA when cancer begins to grow. “Cancer is a complex disease, […]

An optical deep neural network integrated on a chip could be a significant advancement for image classification technology. Its on-chip neural network can recognize and classify an image in less than a nanosecond. Further, the photonic neural network, developed at the University of Pennsylvania, is scalable to allow it to classify images of increasing complexity. The speed of the on-chip deep neural network derives from its ability to directly process the light it receives from an object of interest. It does not need to convert optical signals to electrical signals or change input data to a binary format before it can recognize images. Using a deep neural network of optical waveguides, the researchers’ chip —...

Artificial intelligences continue to exhibit the same biases and prejudices as humans because they are trained on what we create, but there are ways we can improve the situation

Imagine that your every move, every expression, every purchase could be tracked without your knowledge, with this information shared or sold for marketing to make you spend more money. This is already happening to us when we shop online, use a streaming service – and also, as it turns out, when we shop in-store. It […]

The development of new thin semiconductor materials requires a quantitative analysis of a large amount of reflection high-energy electron diffraction (RHEED) data, which is time consuming and requires expertise. To tackle this issue, scientists identify machine learning techniques that can help automate RHEED data analysis. Their findings could greatly accelerate semiconductor research and pave the way for faster, energy efficient electronic devices.

Scientists turn to machine learning to quantitatively analyze surface superstructure information of thin semiconductor surfaces.

Imagine a more sustainable future, where cellphones, smartwatches, and other wearable devices don’t have to be shelved or

“Actions such as his could come only from a robot, or from a very honorable and decent human being. But you see, you can’t differentiate between a robot and the very best of humans.” – Isaac Asimov, I, Robot Science fiction writer Isaac Asimov was among the first to consider a future in which humanity […]

After a long day of work, you might feel tired or exhilarated. Either way, you are affected by what happened to you in the past. Accelerator magnets are no different. What they went through -- or what went through them, like an electric current -- affects how they will perform in the future. Without understanding a magnet's past, researchers might need to fully reset them before starting a new experiment, a process that can take 10 or 15 minutes. Some accelerators have hundreds of magnets, and the process can quickly become time-consuming and costly.

After a long day of work, you might feel tired or exhilarated. Either way, you are affected by what happened to you in the past.

A combination of ecological field methods and cutting-edge artificial intelligence has helped an interdisciplinary research group detect eelgrass wasting disease at nearly three dozen sites along a 1,700-mile stretch of the West Coast, from San Diego to southern Alaska.

A combination of ecological field methods and cutting-edge artificial intelligence has helped an interdisciplinary research group detect eelgrass wasting disease at nearly three dozen sites along a 1,700-mile stretch of the West Coast, from San Diego to southern Alaska.

Google’s LaMDA software (Language Model for Dialogue Applications) is a sophisticated AI chatbot that produces text in response to user input. According to software engineer Blake Lemoine, LaMDA has achieved a long-held dream of AI developers: it has become sentient. Lemoine’s bosses at Google disagree, and have suspended him from work after he published his […]

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Where to get abortion pills and how to use them If the US Supreme Court overturns Roe v. Wade, the 1973 legal decision that enshrined abortion as a constitutional right, parts of the…

Electrons and their behavior pose fascinating questions for quantum physicists, and recent innovations in sources, instruments, and facilities

A new study led by Northwestern University researchers used machine learning — a branch of artificial intelligence —

For would-be quantum programmers scratching their heads over how to jump into the game as quantum computers proliferate and become publicly accessible, a new beginner's guide provides a thorough introduction to quantum algorithms and their implementation on existing hardware. Deep-diving guide explains the basics, surveys major quantum algorithms and steps through implementing them on publicly available quantum computers.

Using artificial intelligence (AI) for warfare has been the promise of science fiction and politicians for years, but new research argues only so much can be automated and shows the value of human judgment.

Alan Turing first proposed a test for machine intelligence in 1950, but now researchers at Google and their partners have created a suite of 204 tests to replace it, covering subjects such as mathematics, linguistics and chess

With conventional methods, it is extremely time-consuming to calculate the spectral fingerprint of larger molecules. But this is a prerequisite for correctly interpreting experimentally obtained data. Now, a team has achieved very good results in significantly less time using self-learning graphical neural networks.

Electrons and their behavior pose fascinating questions for quantum physicists, and recent innovations in sources, instruments and facilities allow researchers to potentially access even more of the information encoded in quantum materials.

With conventional methods, it is extremely time-consuming to calculate the spectral fingerprint of larger molecules. But this is a prerequisite for correctly interpreting experimentally obtained data. Now, a team at HZB has achieved very good results in significantly less time using self-learning graphical neural networks.

Percutaneous nephrolithotomy (PCNL) is an efficient surgical intervention for removing large kidney stones. However, it is a challenging procedure that requires years of training to perform. To meet the need for quick skill-building, scientists have now developed and trialed an artificial intelligence (AI)-enabled robotic device for assisting surgeons in PCNL. Its notable features include ease of use and better accuracy in creating renal access.

AI has done it again. After solving one of the grandest mysteries in biology—predicting protein structure—it decoded how proteins link up into complexes, and dreamed up novel protein structures that may ultimately be turned into drugs to control our basic biology, health, and life. Yet when faced with enormous protein complexes, AI faltered. Until now. […]

The research is part of the SWARM study - Small robots With collective behaviour as AI-driven cancer therapies; building Regulations for future nanoMedicines.

As applications of artificial intelligence spread, more computation must occur — and more efficiently with lower energy consumption

An AI tool has spotted subtle evidence of changes in flint tools that indicate ancient humans had cooking fires at a 1-million-year-old archaeological site in Israel

Human ancestors may have been cooking at site in Israel nearly 1 million years ago

Google engineer Blake Lemoine was suspended for sharing transcripts of a conversation with the AI system LaMDA, which he claims is sentient.

Engineers built a new artificial intelligence chip, with a view toward sustainable, modular electronics. The chip can be reconfigured, with layers that can be swapped out or stacked on, such as to add new sensors or updated processors.

The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.

Blake Lemoine, an engineer at Google, has claimed that the firm's LaMDA artificial intelligence is sentient, but the expert consensus is that this is not the case

For plant biologists, understanding how plants grow and interact with soil is vital for selecting resilient crops that can efficiently take up water and nutrients. But how do you monitor what is happening underground?

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Marseille’s battle against the surveillance state Across the world, video cameras have become an accepted feature of urban life. Many cities in China now have dense networks of them, and London and New…

Artificial intelligence (AI) has come a long way. It enables cars to park themselves, phones to transcribe voice

Touching two time crystals together has created an important building block for a quantum computer.

A team of researchers affiliated with multiple institutions in the U.S., including Google Quantum AI, and a colleague in Australia, has developed a theory suggesting that quantum computers should be exponentially faster on some learning tasks than classical machines. In their paper published in the journal Science, the group describes their theory and results when tested on Google's Sycamore quantum computer. Vedran Dunjko with Leiden University City has published a Perspective piece in the same journal issue outlining the idea behind combining quantum computing with machine learning to provide a new level of computer-based learning systems.

Researchers at Duke University and the University of Maryland have used the frequency of measurements on a quantum computer to get a glimpse into the quantum phenomena of phase changes—something analogous to water turning to steam.

A new generation of artificial intelligence (AI) models can produce “creative” images on-demand based on a text prompt. The likes of Imagen, MidJourney, and DALL-E 2 are beginning to change the way creative content is made with implications for copyright and intellectual property. While the output of these models is often striking, it’s hard to […]

The UK's Ministry of Defence has bought a quantum computer that doesn't require bulky cooling equipment, meaning it could one day be installed on military hardware such as tanks

New work maps a region’s nutrient landscape -- Read more on ScientificAmerican.com

To play a duet with German composer Johann Sebastian Bach, you don’t have to travel back to the

Bio-inspired underwater robots have a lot of advantages, including strong maneuverability and propulsion efficiency. However, training their behaviors

The tip of rotavirus B spike protein is not only totally different from the corresponding structure in rotavirus A and C, but also no other protein before had been reported to have this structure.

Not only do quantum computers have the edge over classical computers on some tasks, but they are also exponentially faster, according to a new mathematical proof

It wasn’t entirely clear if quantum computers could improve machine learning in practice, but new experiments and theoretical proofs show that it can.

Of the three groups of rotavirus that cause gastroenteritis in people, called groups A, B and C, groups A and C affect mostly children and are the best characterized. On the other hand, of group B, which causes severe diarrhea predominantly in adults, little is known about the tip of the virus's spike protein, called VP8* domain, which mediates the infection of cells in the gut.

The way we can tweak interactions between qubits in quantum computers means the machines could help us create novel structures with weird properties we have never seen in nature

A new generation of smart robots is being developed at The University of Manchester that can be trusted to think

AI is becoming smarter all the time, but mathematicians needn't fear they will be replaced by machine intelligence, argues Junaid Mubeen

Using a combination of drones and machine learning techniques, researchers from The Ohio State University have recently developed

A new dataset featuring hundreds of satellite images of whales has been published to support the development of artificial intelligence systems which will aid crucial conservation work.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Meet the LGBTQ activists fighting to be themselves online in Malaysia Nur Sajat Kamaruzzaman has been a public figure in Malaysia for well over a decade. Classically beautiful, she has built a following…

Researchers succeed in increasing the prediction accuracy of the battery capacity by up to 20% by merging physical domain knowledge with AI.

RIKEN chemists have demonstrated a powerful way of designing molecules to satisfy predefined specifications by using it to create six fluorescent compounds. This method, which combines machine learning and quantum chemistry, promises to save chemists a lot of time making and testing compounds in the lab.

Artificial intelligence (AI) has the vast potential to offer innovations to improve every facet of society, from legacy engineering systems to healthcare to creative processes in arts and entertainment. In Hollywood, for example, studios are using AI to surface and measure bias in scripts—the very tools producers and writers need to create more equitable and…

Using a combination of drones and machine learning techniques, researchers from The Ohio State University have recently developed a novel method for determining crop health and used it to create a new tool that may aid future farmers.

An artificial intelligence that can turn mathematical concepts written in English into a formal proving language for computers could make problems easier for other AIs to solve

For years, UC Berkeley snow hydrologist Manuela Girotto has combined disparate remote sensing datasets from satellites into models to understand

With the accelerating evolution of technology, artificial intelligence (AI) plays a growing role in decision-making processes. Humans are becoming increasingly dependent on algorithms to process information, recommend certain behaviors, and even take actions of their behalf. A research team has studied how humans react to the introduction of AI decision making. Specifically, they explored the question, 'is society ready for AI ethical decision making?' by studying human interaction with autonomous cars.

A team of researchers affiliated with several institutions in France has developed a means of using pairs of Cooper pairs to protect qubits inside a quantum computer from external noise. In their paper published in the journal Physical Review X, the group describes how they tackled the problem of qubit sensitivity to noise and how well their approach worked when tested.

A research team has studied how humans react to the introduction of AI decision making. Specifically, they explored the question, 'is society ready for AI ethical decision making?' by studying human interaction with autonomous cars.

In almost every country in the world, the proportion of older people in the population is increasing. By 2050, the number of people above 65 years old is expected to double compared with 2020, growing from 9.3% to more than 16% of the global population. Therefore, the World Health Organization (WHO) is expecting a significant…

Research begins on a project to apply big data to cancer treatment protocols. Computer Science and Engineering Assistant

The book 'Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics' gives a comprehensive explanation of the role of machine learning and artificial intelligence in cancer nanomedicine. It presents 10 chapters that cover multiple dimensions of the subject.

A research group has taken a big step towards creating a neural network with metamemory through a computer-based evolution experiment.

Researchers find the explanation methods designed to help users determine whether to trust a machine-learning model's predictions can perpetuate biases and lead to less accurate predictions for people from disadvantaged groups.

The day is coming -- some say has already arrived -- when new inventions that benefit society are dreamt up by artificial intelligence all on its own.

A computer capable of achieving quantum advantage – a demonstration of supremacy over conventional machines – is the first that anyone can use over the internet