The growing popularity of 3D printing for manufacturing all sorts of items, from customized medical devices to affordable homes, has created more demand for new 3D printing materials designed for very specific uses.

An artificial intelligence (AI)-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy. The benchmark finding foreshadows the next phase of medicine, where technology helps clinicians quickly determine the root cause of disease so they can give patients the right treatment sooner.

Nearly 200 years after his death, the German composer’s musical scratch was pieced together by machine—with a lot of human help. -- Read more on ScientificAmerican.com

Nanomedicines may offer clinicians a way to deliver precise, targeted therapy directly to tumors without damaging surrounding tissue. Yet, progress in the development of new drugs that treat cancer at...

More than a third of all medicines available today are based on active substances from nature and a research team has developed a procedure to identify small active substance molecules much more quickly and easily.

Facial recognition, body cameras and other digital technologies are increasingly used by police departments, municipalities and even gated communities, but these tools manufactured by private companies raise the specter of unchecked surveillance, a University of California, Davis researcher suggests.

More than a third of all medicines available today are based on active substances from nature, and a research team from the University of Jena has developed a procedure to identify small active substance molecules much more quickly and easily. Secondary natural substances that occur in numerous plants, bacteria and fungi can be anti-inflammatory, can ward off pathogens or even prevent the growth of cancer cells. However, making use of the riches provided by nature's medicine cabinet and identifying new natural substances is time-consuming, costly and labor-intensive. A team of bioinformaticians at Friedrich Schiller University Jena has now developed a method that enables much faster and easier identification of small active substance molecules. The researchers present their method, called COSMIC (Confidence Of Small Molecule IdentifiCations), in the current issue of Nature Biotechnology.

Seebo’s machine learning technology helps chemical manufacturers get deep insight into their processes

Researchers are building a tool that can offer drug researchers insight into how well a new nanoparticle-based cancer therapy will work, even before a drug enters animal testing.

A research paper from Victor Garcia Satorras, Emiel Hoogeboom and Max Welling, from the Informatics Institute of the

GrAI Matter Labs (GML), a developer of brain-inspired ultralow-latency computing solutions, has teamed with global imaging provider FRAMOS to create what the collaborators are calling “Life-Ready AI” for industrial vision platforms. The project is based on FRAMOS’ D435e Industrial Depth Camera and GML’s GrAI VIP (vision inference processor). The collaboration aims to advance vision application development in areas including robotics, automation, and IoT-connected manufacturing. The collaborators will develop the platforms on GML’s development of brain-inspired computing techniques for enhanced efficiencies, which use FRAMOS’ stereo depth sensing technology for industrial environments through its...

Just under a year and a half ago OpenAI announced completion of GPT-3, its natural language processing algorithm that was, at the time, the largest and most complex model of its type. This week, Microsoft and Nvidia introduced a new model they’re calling “the world’s largest and most powerful generative language model.” The Megatron-Turing Natural […]

In underwater acoustics, deep learning may improve sonar systems to help detect ships and submarines in distress or in restricted waters. However, noise interference can be a challenge. Researchers now explore an attention-based deep neural network to tackle this problem. They tested two ships, comparing their results with a typical deep neural network, and found the ABNN increases its predictions considerably as it gravitates toward the features closely correlated with the training goals.

A new study from the University of Gothenburg opens the way for more effective microscopy, making it easier to research diseases. The study shows how artificial intelligence can be used to develop faster, cheaper and more reliable information about cells, while also eliminating the disadvantages from using chemicals in the process.

Quantum computing systems, computer systems that are based on the key principles of quantum theory, could significantly outperform conventional computing systems, both in terms of speed and performance. Over the past decade or so, many physicists worldwide have thus been trying to develop these systems and assess their potential.

Nature is the international weekly journal of science: a magazine style journal that publishes full-length research papers in all disciplines of science, as well as News and Views, reviews, news, features, commentaries, web focuses and more, covering all branches of science and how science impacts upon all aspects of society and life.

African penguins identify each other using unique features of their physical appearance and vocal calls – making them the second group of birds after crows known to do so

You probably could name many famous artists, who made really expensive masterpieces. However, a lot of that money

Welcome to I Was There When, a new oral history project from the In Machines We Trust podcast. It features stories of how breakthroughs in artificial intelligence and computing happened, as told by the people who witnessed them. In this first episode, we meet Joseph Atick— who helped create the first commercially viable face recognition…

South African penguins identify each other using unique features of their physical appearance and vocal calls – making them the second group of birds after crows known to do so

Quantum computers may one day break encryption, and security researchers say intelligence agencies may already be storing encrypted data with a plan to crack it in future

Sarah hadn’t laughed in five years. At 36 years old, the avid home cook has struggled with depression since early childhood. She tried the whole range of antidepressant medications and therapy for decades. Nothing worked. One night, five years ago, driving home from work, she had one thought in her mind: this is it. I’m […]

Professional sports are all about data and analysis. Sports science is a very busy subject and each professional

Graduates entering an ever-more-competitive job market are often unaware of the skills and values they offer employers. The challenge is greater with emerging job roles that require certifications and both multidisciplinary skills and specialist knowledge, even for entry-level positions.

Load up the website This Person Does Not Exist and it’ll show you a human face, near-perfect in its realism yet totally fake. Refresh and the neural network behind the site will generate another, and another, and another. The endless sequence of AI-crafted faces is produced by a generative adversarial network (GAN)—a type of AI…

Artificial intelligence (AI) and Machine learning (ML) have changed our lives for the better in fields ranging from

Within the microscopic boundaries of a single human cell, the intricate folds and arrangements of protein and DNA bundles dictate a person's fate: which genes are expressed, which are suppressed, and—importantly—whether they stay healthy or develop disease.

Hopes of developing artificial general intelligence and a truly useful quantum computer are looking less fanciful thanks to recent breakthroughs

Deep reinforcement learning is successfully applied in many real-world robotic tasks. However, it is limited to domains in

A team has developed a novel machine learning approach that can create similarity projections via machine learning, enabling researchers to search an unstructured image database for the first time and identify trends.

Recent advances enabled researchers to map the DNA sequence of the human genome. However, it is still not

Researchers from Estonia and Italy developed an innovative method by combining neural networks and statistics. Using this newly developed method, they refined the "Out of Africa" scenario. The researchers claimed that the African dynamics around the time of the Out of Africa expansion are more complex than previously thought.

Researchers have developed a new approach to autonomously fly quadrotors through unknown, complex environments at high speeds using only on-board sensing and computation. The new approach could be useful in emergencies, on construction sites or for security applications.

Using a laser-controlled ion-trap platform, researchers demonstrate code that can detect and suppress errors—and keep them from spreading and multiplying through the system.

Deepfake tools that mimic a particular individual's voice from just a few snippets of audio are good enough to trick humans and bypass voice recognition systems

Understanding structure-property relations is a key goal of materials research, according to Joshua Agar, a faculty member in Lehigh University's Department of Materials Science and Engineering. And yet currently no metric exists to understand the structure of materials because of the complexity and multidimensional nature of structure.

Researchers have developed a new approach to autonomously fly quadrotors through unknown, complex environments at high speeds using only on-board sensing and computation. The new approach could be useful in emergencies, on construction sites or for security applications.

When Ludwig van Beethoven died in 1827, he was three years removed from the completion of his Ninth Symphony, a work heralded by many as his magnum opus. He had started work on his 10th Symphony but, due to deteriorating health, wasn’t able to make much headway: All he left behind were some musical sketches. […]

A scientist at Karolinska Institutet reports that machine learning can be used to gain insights into molecular events that change the shape of proteins after they are made, regulating their ability to interact with each other. This suggests that artificial intelligence (AI) may allow us, in the future, to accurately simulate highly complex biological scenarios in silico as well as leverage this information for therapeutic intervention.

Ferroelectric materials feature special inner structures. Regarding the crystalline materials, the ions organize themselves distinctly within individual areas known as the domains. Electric field or...

Researchers at the University of Zurich have developed a new approach to autonomously fly quadrotors through unknown, complex

Legislation working its way through the European Parliament could see a complete ban on the use of artificial intelligence in law enforcement

Scientists have created a set of tools to make annotated 3D images of cells, showing the relationships between different organelles.

Researchers have found that variability between brain cells might speed up learning and improve the performance of the brain and future AI.

Open any introductory biology textbook, and you'll see a familiar diagram: A blobby-looking cell filled with brightly colored structures—the inner machinery that makes the cell tick.

Conversational video technology enables AI-powered back-and-forth between viewers and prerecorded responses.

Exoplanet hunters have found thousands of planets, most orbiting close to their host stars, but relatively few alien worlds have been detected that float freely through the galaxy as so-called rogue planets, not bound to any star. Many astronomers believe that these planets are more common than we know, but that our planet-finding techniques haven't been up to the task of locating them.

The National Institutes of Health (NIH) is awarding Chethan Pandarinath the 2021 Director’s New Innovator Award, an honor

When it comes to games such as chess or Go, artificial intelligence (AI) programs have far surpassed the

The just completed Q-Rocks project presents a groundbreaking approach that is set to revolutionize robot development: With the help of artificial intelligence methods, users without any expertise will be able to cost-efficiently design customized robots for their applications.

In order to develop AI agents able to help us in everyday activities, there is a need for

Researchers have experimentally demonstrated, for the first time, that an assembly of quantum computing pieces -- a logical qubit -- can be better than the worst parts used to make it. The team shared how they took this landmark step toward reliable, practical quantum computers by implementing the Bacon-Shor code and a fault-tolerant design on an ion trap-based quantum computer.

The first demonstration of error correction on a quantum computer that doesn't lead to more mistakes is a step towards genuinely useful computation

Pobody's nerfect—not even the indifferent, calculating bits that are the foundation of computers. But JQI Fellow Christopher Monroe's group, together with colleagues from Duke University, have made progress toward ensuring we can trust the results of quantum computers even when they are built from pieces that sometimes fail. They have shown in an experiment, for the first time, that an assembly of quantum computing pieces can be better than the worst parts used to make it. In a paper published in the journal Nature on Oct. 4, 2021, the team shared how they took this landmark step toward reliable, practical quantum computers.

Using computer simulations to design new chips played a crucial role in the rapid improvements in processor performance we’ve experienced in recent decades. Now Chinese researchers have extended the approach to the quantum world. Electronic design automation tools started to become commonplace in the early 1980s as the complexity of processors rose exponentially, and today […]

Researchers have made a key advancement in the development of technology to automatically analyze video of hockey games using artificial intelligence.

Humanity’s greatest achievement might be building our successors -- Read more on ScientificAmerican.com

Polymorphs are molecules that have different molecular packing arrangements despite identical chemical compositions. In a recent paper, researchers at GlaxoSmithKline (GSK) and the Cambridge Crystallographic Data Centre (CCDC) combined their proprietary (GSK) and published (CCDC) datasets to better train machine learning (ML) models to predict stable polymorphs to use in new drug candidates.

Researchers at Karolinska Institutet have developed an AI-based tool that improves the diagnosis of breast cancer tumours and

This intelligent arm learns how to move naturally, based on what the wearer is doing, as Phil King discovers

During the coronavirus pandemic, many people have grown accustomed to wearing face masks to protect themselves and others,

Quantum computers are gaining pace. They promise to provide exponentially more computing power for certain very tricky problems.

Research guided by a plant pathologist in Penn State's College of Agricultural Sciences suggests that machine-learning algorithms that are programmed to recognize changing weather patterns could show producers and agricultural managers how to increase soybean and corn yields in the United States.

Researchers have developed a dynamic respirator that modulates its pore size in response to changing conditions, such as exercise or air pollution levels, allowing the wearer to breathe easier when the highest levels of filtration are not required.

AI software developed by DeepMind and the Met Office in the UK can predict whether it will rain within 90 minutes more accurately than current forecasting models

So-called topological quantum computing would avoid many of the problems that stand in the way of full-scale quantum computers. But high-profile missteps have led some experts to question whether the field is fooling itself. The post Major Quantum Computing Strategy Suffers Serious Setbacks first appeared on Quanta Magazine

First protein folding, now weather forecasting: London-based AI firm DeepMind is continuing its run applying deep learning to hard science problems. Working with the Met Office, the UK’s national weather service, DeepMind has developed a deep-learning tool called DGMR that can accurately predict the likelihood of rain in the next 90 minutes—one of weather forecasting’s toughest…

Quantum computers are gaining pace. They promise to provide exponentially more computing power for certain very tricky problems. They do this by exploiting the peculiar behaviour of quantum particles, such as photons of light. A team has now shown how to protect qubits from errors using photons in a silicon chip.

Deep learning, neural networks, imitation games—what does any of this have to do with teaching computers to “learn”? -- Read more on ScientificAmerican.com

From chess to Jeopardy to e-sports, AI is increasingly beating humans at their own games. But that was never the ultimate goal. In this episode we dig into the symbiotic relationship between games and AI. We meet the big players in the space, and we take a trip to an arcade. We Meet:  Julian Togelius,…

Reseaerchers have developed a dynamic respirator that modulates its pore size in response to changing conditions, such as exercise or air pollution levels, allowing the wearer to breathe easier when the highest levels of filtration are not required.

During the coronavirus pandemic, many people have grown accustomed to wearing face masks to protect themselves and others, but that doesn't mean the masks are always comfortable—especially during exercise. Now, researchers reporting in ACS Nano have developed a dynamic respirator that modulates its pore size in response to changing conditions, such as exercise or air pollution levels, allowing the wearer to breathe easier when the highest levels of filtration are not required.

While much research related to robotic autonomy is done for controlled environments, many practical applications include venturing into

A new study suggests that machine learning using viral genomes may predict the likelihood that any animal-infecting virus will infect humans, given biologically relevant exposure.

Most emerging infectious diseases of humans (like COVID-19) are zoonotic—caused by viruses originating from other animal species. Identifying high-risk viruses earlier can improve research and surveillance priorities. A study publishing in PLOS Biology on September 28th by Nardus Mollentze, Simon Babayan, and Daniel Streicker at University of Glasgow, United Kingdom suggests that machine learning (a type of artifical intelligence) using viral genomes may predict the likelihood that any animal-infecting virus will infect humans, given biologically relevant exposure.

Author(s): Erika K. CarlsonIncorporating storage units for quantum information into quantum computers may allow researchers to build such devices with several orders of magnitude fewer qubits in their processors. [Physics 14, s117] Published Tue Sep 28, 2021

Researchers have found a way to make 'single-crystal flake' devices that are so thin and free of defects, they have the potential to outperform components used today in quantum computer circuits.

Researchers at the University of Bath in the UK have found a way to make 'single-crystal flake' devices that are so thin and free of defects, they have the potential to outperform components used today in quantum computer circuits.

Hurricane Ida was among the most intense and damaging hurricanes in Louisiana's history. The violent storm rose to a Category 1 hurricane on Friday, August 27. It then climbed another two categories in two days, jumping from Category 3 to 4 in only an hour.

The US Air Force has used an AI as part of its "kill chain" - the process of gathering intelligence and directing weapons to destroy a target - though details of the incident are limited

At first glance, JB, an artist based in Los Angeles, perhaps doesn’t look much like the picture on their driver’s license. For one thing, the ID photo is from a few years ago. Hair that was once long and dark is now buzzed and bleached. And there’s the fact that JB is transgender and has…

Getting a quick and accurate reading of an x-ray or some other medical images can be vital to

Researchers at the University of Bath have found a way to make ‘single-crystal flake’ devices that are so

Deep reinforcement learning (DRL) has been successfully used to solve robotics tasks like locomotion, manipulation, or navigation. However,

A company founded by University at Buffalo researchers is looking to employ artificial intelligence (AI) to improve treatment

Most modern grasping systems rely on computer vision. However, computer vision is often not suitable to recover from

In contemporary cosmology, sophisticated techniques are developed to measure cosmological parameters from astrophysical datasets. However, as lots of

Machine learning can pinpoint 'genes of importance' that help crops to grow with less fertilizer, according to a new study. It can also predict additional traits in plants and disease outcomes in animals, illustrating its applications beyond agriculture.

The moon's polar regions are home to craters and other depressions that never receive sunlight. Today, a group of researchers led by the Max Planck Institute for Solar System Research (MPS) in Germany present the highest-resolution images to date covering 17 such craters. Craters of this type could contain frozen water, making them attractive targets for future lunar missions, and the researchers focused further on relatively small and accessible craters surrounded by gentle slopes. In fact, three of the craters have turned out to lie within the just-announced mission area of NASA's Volatiles Investigating Polar Exploration Rover (VIPER), which is scheduled to touch down on the moon in 2023. Imaging the interior of permanently shadowed craters is difficult, and efforts so far have relied on long exposure times resulting in smearing and lower resolution. By taking advantage of reflected sunlight from nearby hills and a novel image processing method, the researchers have now produced

Recently, adiabatic quantum computing has been successfully used in machine learning tasks. One specific type of machine learning,

AI software identifies which areas of your face you should subtly change with makeup to fool facial recognition technology – and it works 98.8 per cent of the time

Machine learning can pinpoint "genes of importance" that help crops to grow with less fertilizer, according to a new study published in Nature Communications. It can also predict additional traits in plants and disease outcomes in animals, illustrating its applications beyond agriculture.

Researchers and data scientists have developed an artificial intelligence technique that can identify which cell surface peptides produced by cancer cells called neoantigens are recognized by the immune system.

Researchers are developing artificial intelligence that could assess climate change tipping points. The deep learning algorithm could act as an early warning system against runaway climate change.

Researchers are developing artificial intelligence that could assess climate change tipping points. The deep learning algorithm could act as an early warning system against runaway climate change.

The EVONANO platform allows scientists to grow virtual tumors and use artificial intelligence to automatically optimize the design of nanoparticles to treat them. The ability to grow and treat virtual tumors is an important step towards developing new therapies for cancer. Importantly, scientists can use virtual tumors to optimize design of nanoparticle-based drugs before they are tested in the laboratory or patients.