news 2022

In order to improve the ethical and legal compliance of automated decision systems, it is crucial to inspect the full life cycle of the data being used: from the moment the data are being collected to the moment the data are fed into a machine learning system. This is the thesis that UvA assistant professor Sebastian Schelter and four international colleagues have been arguing for in a recent article in the Communications of the ACM.

GRENOBLE, France - July 7, 2022 - Inspired by the barn owl's neuroanatomy, CEA-Leti has developed an event-driven, object-localization system that couples state-of-the-art piezoelectric, ultrasound transducer sensors to a neuromorphic, resistive memories-based computational map. Presented in a paper published recently in Nature Communications , the research team describes development of an auditory-processing system that increases energy efficiency by up to five orders of magnitude compared to conventional localization systems.

New computer model accurately predicts behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine Study: Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics (DOI: 10.7554/eLife. The communities formed by human gut microbes can now be predicted more accurately with a new computer model developed in a collaboration between biologists and engineers, led by the University of Michigan and the University of Wisconsin.

Cryptographic systems that even quantum computers cannot crack will soon be standard in the USA Whenever you visit a website, send an email, or do your online banking in the future, in many cases algorithms developed with the participation of researchers at the Max Planck Institute for Security and Privacy in Bochum and the Ruhr University Bochum will be used to protect your data.

Identifying toxic content can be a first step to addressing it Trolls, haters and other ugly characters are, unfortunately, a fact of life across much of the internet. Their ugliness can taint social media networks and sites like Reddit and Wikipedia. But toxic content looks different depending on the venue, and identifying online toxicity is a first step to getting rid of it.

The Dutch Research Council has awarded 101 experienced researchers a Vidi grant worth 800,000 euros. The grant enables them to develop their own innovative line of research and set up their own research group in the coming five years. TU Delft's Vidi laureates: Dr. Katerina Stanková (TPM) This research investigates novel game theoretic models and combines these with data science and control theory to improve standard of care in cancer treatment.

New research from the Oxford Flight Group using computer simulations and Hollywood-style motion capture shows how birds optimise their landing manoeuvres for an accurate descent. Researchers at the University of Oxford have found that hawks control their flight to ensure the safest landing conditions when perching, even if it takes longer and more energy to do so.

A cutting-edge artificial intelligence (AI) system that can accurately predict the areas of an image where a person is most likely to look has been created by scientists at Cardiff University. Based on the mechanics of the human brain and its ability to distinguish between different parts of an image, the researchers say the novel system more accurately represents human vision than anything that has gone before.

Blockchain is a digital technology that allows a secure and decentralized record of transactions that is increasingly used for everything from cryptocurrencies to artwork. But Yale researchers have found a new use for blockchain: they-ve leveraged the technology to give individuals control of their own genomes.

As the world fights climate change, will the increasingly widespread use of artificial intelligence (AI) be a help or a hindrance? In a paper published this week in Nature Climate Change , a team of experts in AI, climate change, and public policy present a framework for understanding the complex and multifaceted relationship of AI with greenhouse gas emissions, and suggest ways to better align AI with climate change goals.

CMU research shows Twitter drives popularity, contributors to open-source software Want to be popular with lots of friends? Get out there and tweet. That advice holds true for open-source software projects as well, according to a new study from researchers in the Carnegie Mellon University School of Computer Science.

CMU researchers use AI to teach robots to see water A horse, a zebra and artificial intelligence helped a team of Carnegie Mellon researchers teach a robot to recognize water and pour it into a glass. Water presents a tricky challenge for robots because it is clear. Robots have learned how to pour water before, but previous techniques like heating the water and using a thermal camera or placing the glass in front of a checkerboard background don't transition well to everyday life.

New research uses multiple polarisation channels to carry out parallel processing - enhancing computing density by several orders over conventional electronic chips. In a paper published in Science Advances , researchers at the University of Oxford have developed a method using the polarisation of light to maximise information storage density and computing performance using nanowires.

Linguists and computer scientists collaborate to publish a large global Open Access lexical database Scholars from the Max Planck Institute for Evolutionary Anthropology in Germany and the University of Auckland in New Zealand have created a new global repository of linguistic data. The project is designed to facilitate new insights into the evolution of words and sounds of the languages spoken across the world today.

The science behind your Netflix viewing habits could soon be used to guide doctors in managing cancer, according to new research co-led by UCL scientists and funded by Cancer Research UK and Cancer Grand Challenges. In the study an international team of scientists used artificial intelligence (AI) to investigate and categorise the size and scale of DNA changes across the genome - a cell's complete genetic code - when cancer starts and grows.

'Smart Zero' Cisco and Curtin University launch the 'Smart Zero' report, which details how advanced networks will accelerate progress towards Net Zero. Net Zero and digital are two of Australia's biggest economic forces, and they are converging. Organisations that embrace digital technology and advanced networks today are likely to have a natural advantage.

German Research Foundation approves further four-year funding of the joint Collaborative Research Center/Transregio 146 on Multiscale Simulation Methods for Soft Matter Systems of Mainz University, TU Darmstadt, and the Max Planck Institute for Polymer Research The German Research Foundation (DFG) has agreed to finance another four years of development of soft matter simulation by the Collaborative Research Center/TRR 146.

When Artur Dubrawski and Carnegie Mellon University's Auton Lab began studying maintenance of the U.S. Air Force's F-16 fighter jets more than 15 years ago, they discovered unforeseen failures that spread like disease across the aging fleet. Sometimes the cause could be as simple - yet hard for humans to detect - as replacement parts interacting with other components in unexpected ways.

Monash University experts are calling for people to contribute to a world first ethically-sourced and managed image bank for research to combat child exploitation. The project is an initiative of the AiLECS Lab - a collaboration between Monash University's Faculty of Information Technology and the Australian Federal Police - which develops artificial intelligence (AI) technologies that aid law enforcement and enhance community safety.

When we implement complex cognitive processes, for example when making decisions, we are subject to cognitive bias. But what about simpler processes, such as those involved in the most basic learning? In a new study analyzing data from all previous research in the field, researchers from Inserm and ENS-PSL show that not only are positivity and confirmation biases present even in the simplest human and animal cognitive processes, but also that incorporating them into learning algorithms would enhance their performance.