Illustrating children's books with too many detailed, non-essential pictures makes it'harder for kids to focus and absorb knowledge', a study has demonstrated. Colourful pictures intended to motivate young readers may achieve the exact opposite by drawing attention away from the story text, US researchers warned. Although reading is considered a'gateway for learning', around 20 per cent of children in the UK do not meet the minimum level of literacy proficiency. Children's books typically include eye-catching illustrations to help readers visualise the characters and setting of the story. However, eye-tracking studies found that too many pictures can prove distracting.
The "whiteness" of artificial intelligence (AI) removes people of colour from the way humanity thinks about its technology-enhanced future, researchers argue. University of Cambridge experts suggest current portrayals and stereotypes about AI risk creating a "racially homogenous" workforce of aspiring technologists, creating machines with bias baked into their algorithms. The scientists say cultural depictions of AI as white need to be challenged, as they do not offer a "post-racial" future but rather one from which people of colour are simply erased. In their paper, "The Whiteness of AI" published in the journal, Philosophy and Technology, Leverhulme CFI Executive Director, Stephen Cave and Dr Kanta Dihal offer insights into the ways in which portrayals of AI stem from, and perpetuate, racial inequalities. Cave and Dihal cite research showing that people perceive race in AI, not only in human-like robots, but also in abstracted and disembodied AI.
Two shoebox-sized supercomputer satellites, built in Scotland to monitor shipping movements from low-Earth orbit, are due for launch this afternoon. Each nanosatellite has an onboard supercomputer with machine learning algorithms that can provide'hyper-accurate predictions' of the locations of boats. The the so-called'Spire' satellites will calculate their arrival times at ports to help businesses and authorities manage busy docks, the UK Space Agency said. They will join a fleet of more than 100 objects in low Earth orbit that work together to track the whereabouts of ships and predict global ocean traffic. Two of the satellites will launch at lunchtime today and another couple will launch on an Indian PSLV rocket on November 1.
Recently, researchers affiliated with the Baylor College of Medicine, the University of Cambridge, the University of Massachusetts Amherst, and Rice University created a new way of adapting a neuroscience concept called "brain replay" to the digital realm of artificial neural networks to enable continuous learning. From a neuroscience perspective, the concept of brain replay is analogous to a streaming service that activates repeat showings from its vast archives of stored pre-recorded content. The brain can replay memories by reactivating the neural activity patterns that represent prior experiences, whether asleep or awake. This ability for memory replay starts in the hippocampus, then continues in the cortex. The research trio of Hava Siegelmann, Andreas Tolias, and Gido van de Ven published a study in Nature Communications on August 13, 2020, that shows state-of-the-art performance from neural networks by deploying a new twist on mimicking brain replay.
BERLIN (AP) -- An international team of scientists have joined forces to combat the spread of anti-Semitism online with the help of artificial intelligence. The Alfred Landecker Foundation, which supports the team, said Monday that the project named Decoding Anti-Semitism includes discourse analysts, computational linguists and historians. They will develop a "highly complex, AI-driven approach to identifying online anti-Semitism." The team includes researchers from Berlin's Technical University, King's College in London and other scientific institutions in Europe and Israel. Computers will run through vast amounts of data and images that humans wouldn't be able to assess because of their sheer quantity.
Recommending priorities for future cooperation, particularly in R&D areas where each partner shares strong common interest (e.g., interdisciplinary research and intelligent systems) and brings complementary challenges, regulatory or cultural considerations, or expertise to the partnerships; Promoting research and development in AI, focusing on challenging technical issues, and protecting against efforts to adopt and apply these technologies in the service of authoritarianism and repression. We intend to establish a bilateral Government-to-Government dialogue on the areas identified in this vision and explore an AI R&D ecosystem that promotes the mutual wellbeing, prosperity, and security of present and future generations. Signed in London and Washington on 25 September 2020, in two originals, in the English language.
Artificial intelligence (AI) machine learning can have a considerable carbon footprint. Deep learning is inherently costly, as it requires massive computational and energy resources. Now researchers in the U.K. have discovered how to create an energy-efficient artificial neural network without sacrificing accuracy and published the findings in Nature Communications on August 26, 2020. The biological brain is the inspiration for neuromorphic computing--an interdisciplinary approach that draws upon neuroscience, physics, artificial intelligence, computer science, and electrical engineering to create artificial neural systems that mimic biological functions and systems. The human brain is a complex system of roughly 86 billion neurons, 200 billion neurons, and hundreds of trillions of synapses.
The following declaration was released by the Governments of the United States of America and the United Kingdom of Great Britain and Northern Ireland during the September 25 inaugural meeting of the Special Relationship Economic Working Group. We intend to establish a bilateral government-to-government dialogue on the areas identified in this vision and explore an AI R&D ecosystem that promotes the mutual wellbeing, prosperity, and security of present and future generations. Signed in London and Washington on September 25, 2020, in two originals, in the English language.
The Trump administration is set to announce that the United States and the United Kingdom have signed a new agreement to cooperate on research and development of artificial intelligence, in news shared first with Axios. Why it matters: The U.S. and its allies fear China is going to surpass them in AI. The partnership shows the U.S. and U.K. think they have a better chance at beating China by linking up. Details: The partnership will include the two countries working together on research and development of AI, including on issues of explainability and fairness, an administration official told Axios. Flashback: In May 2020, the U.S. and other allies launched the Global Partnership on Artificial Intelligence, for "like-minded nations together to encourage the development of AI in line with our shared values."