news 2020

The Stanford Cable TV News Analyzer is an interactive tool that uses AI to search transcripts and calculate the screen time of public figures appearing on cable TV news. Cable TV news is a primary source of information for millions of Americans each day. The people that appear on cable TV news and the topics they talk about shape public opinion and culture.

ETH Zurich researchers can predict how tightly a cell's protein synthesis machinery will bind to RNA sequences - even when dealing with many billions of different RNA sequences. This binding plays a key role in determining how much of a specific protein is produced. The scientists are developing their prediction model using a combination of synthetic biology experiments and machine learning algorithms.

Extremely energy-efficient artificial intelligence is now closer to reality after a study by UCL researchers found a way to improve the accuracy of a brain-inspired computing system. The system, which uses memristors to create artificial neural networks, is at least 1,000 times more energy efficient than conventional transistor-based AI hardware, but has until now been more prone to error.

Today, the University of Amsterdam (UvA) announced the launch of the research project "Designing the tax system for a Cashless, Platform-based and Technology-driven society" (CPT project). The ambitious initiative is led by the Amsterdam Centre for Tax Law (ACTL) of the Amsterdam Law School (FdR).

For Sabrina Corsetti, the pandemic presents an interesting problem-a data problem, that is. Her efforts to model the pandemic's spread using a machine learning algorithm has now been included in those being aggregated for the CDC's weekly projections. Corsetti, a senior majoring in physics and mathematics, had her previous research halted when the University of Michigan suspended in-person classes and labs back in March.

To fly autonomously, drones need to understand what they perceive in the environment and make decisions based on that information. A novel method developed by Carnegie Mellon University researchers allows drones to learn perception and action separately. The two-stage approach overcomes the "simulation-to-reality gap," and creates a way to safely deploy drones trained entirely on simulated data into real-world course navigation.

Contract tracing apps used to reduce the spread of COVID-19 are unlikely to be effective without proper uptake and support from concurrent control measures, finds a new study by UCL researchers. The systematic review*, published in Lancet Digital Health , shows that evidence around the effectiveness of automated contact tracing systems is currently very limited, and large-scale manual contact tracing alongside other public health control measures - such as physical distancing and closure of indoor spaces such as pubs - is likely to be required in conjunction with automated approaches.

Researchers at Oxford University, in collaboration with DeepMind, University of Basel and Lancaster University, have created a machine learning algorithm that interfaces with a quantum device and 'tunes' it faster than human experts, without any human input. They are dubbing it 'Minecraft explorer for quantum devices'.

Carnegie Mellon builds dataset capturing interaction of sound, action, vision People rarely use just one sense to understand the world, but robots usually only rely on vision and, increasingly, touch. Carnegie Mellon University researchers find that robot perception could improve markedly by adding another sense: hearing.

Participants are needed for a study being conducted by Freie Universität, the Fraunhofer Institute for Applied and Integrated Security (AISEC), the Fraunhofer Institute for Secure Information Technology (SIT), and the National Research Center for App No 137/2020 from Aug 13, 2020 Researchers from Freie Universität, the Fraunhofer Institute for Applied and Integrated Security (AISEC), the Fraunhofer Institute for Secure Information Technology (SI

Researchers around the world share their stunning images and insights: The open source mesoSPIM Initiative The secret of capturing exquisite brain images with a new generation of custom-built microscopes is revealed today . The new microscopes, known as mesoSPIMs, can image the minute detail of brain tissue down to individual neurons that are five times thinner than a human hair, and can uncover the 3D anatomy of entire small organs, faster than ever before.

By combining purpose-built materials and neural networks, researchers at EPFL have shown that sound can be used in high-resolution imagery. Imaging allows us to depict an object through far-field analysis of the lightand sound-waves that it transmits or radiates. The shorter the wave, the higher the image's resolution.

The overwhelming 'Whiteness' of artificial intelligence - from stock images and cinematic robots to the dialects of virtual assistants - removes people of colour from the way humanity thinks about its technology-enhanced future. If the developer demographic does not diversify, AI stands to exacerbate racial inequality Kanta Dihal This is according to experts at the University of Cambridge, who suggest that current portrayals and stereotypes about AI risk creating a "racially homogenous" workforce of aspiring technologists, building machines with bias baked into their algorithms.

Researchers at EPFL and Bar Ilan University have developed a new type of embedded memory that takes up half as much space as traditional memory - and uses less energy - to store a given amount of data. The technology is being marketed through a new spin-off called RAAAM. Embedded memories play a crucial role in running our digital devices, from computers and smartphones all the way to the internet of things and entire telecom networks.

A radical new method of imaging which harnesses artificial intelligence to turn time into visions of 3D space could help cars, mobile devices and health monitors develop 360-degree awareness. Photos and videos are usually produced by capturing photons - the building blocks of light - with digital sensors.

COVID-19 has seen Australians become more trusting of organisations and governments when it comes to their personal data and privacy, according to new research. The Australian National University (ANU) study examined more than 3,200 Australians' attitudes toward data privacy and security before and during the coronavirus pandemic, including the use of the COVIDSafe app.

Berkeley Lab project scientist contributes to study based on large pool of data from CERN's ATLAS detector Researchers from the ATLAS collaboration, including Berkeley Lab's Josh McFayden, explain their new measurement of "lepton flavour universality" - a unique property of the Standard Model of particle physics.

Researchers devise an on-off system that allows high-fidelity operations and interconnection between processors. MIT researchers have introduced a quantum computing architecture thatcan perform low-error quantum computations while also rapidly sharing quantum information between processors. The work represents a key advance toward a complete quantum computing platform.

National research data infrastructure: TUM involved in three consortia Genome sequencing produces immense quantities of data. The aim of the German Human Genome-Phenome Archive (GHGA) is to make these data available to science without violating the personality rights of patients. The GHGA will focus initially on data collections pertaining to cancer and rare genetic disorders.

Proteins are essential to cells, carrying out complex tasks and catalyzing chemical reactions. Scientists and engineers have long sought to harness this power by designing artificial proteins that can perform new tasks, like treat disease, capture carbon or harvest energy, but many of the processes designed to create such proteins are slow and complex, with a high failure rate.