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Complete Deep Learning In R With Keras & Others

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This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level! My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate.


Forthcoming machine learning and AI seminars: May 2022 edition

AIHub

This post contains a list of the AI-related seminars that are scheduled to take place between 9 May 2022 and 30 June 2022. All events detailed here are free and open for anyone to attend virtually. Note: this event runs for four days – 9-12 May. Instance-adaptive data compression: Improving Neural Codecs by Training on the Test Set Speaker: Ties van Rozendaal Organised by: University of California, Irvine The live stream is here. Kernel-based robust inference for intractable likelihood models Speaker: François-Xavier Briol Organised by: Finnish Centre for AI Zoom link is here.


Cognitive Science: Bermúdez, José Luis: 9781108440349: Books: Amazon.com

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Educated at St Pauls School, London and Cambridge University, José Luis Bermúdez is Professor of Philosophy at Texas A&M University, where he has also served as Dean of Liberal Arts and Associate Provost for Strategic Planning. Since his first book, The Paradox of Self-Consciousness (MIT Press 1998) he has been working on interdiscipinary aspects of self-representation and self-consciousness, most recently in Understanding "I": Language and Thought (OUP, 2017) and The Bodily Self: Selected Essays (MIT Press, 2018). He also works on rationality and reasoning, where he has published Decision Theory and Rationality (OUP, 2009). He is currently writing a book of framing and rationality, and also preparing the third edition of his textbook Cognitive Science: An Introduction to the Science of the Mind, both for Cambridge University Press. His work has appeared in seven languages and he is one of the 100 most cited philosophers on Google scholar.


R2-D-Chew: robot chef imitates human eating process to create tastier food

The Guardian

The culinary robots are here. Not only to distinguish between food which tastes good and which doesn't, but also to become better cooks. A robot chef designed by researchers at Cambridge University has been trained to taste a dish's saltiness and the myriad of ingredients at different stages of chewing – a process imitating that of humans. It is a step above current electronic testing that only provides a snapshot of a food's salinity. Replicating the human process, researchers say, should result in a tastier end product. "If robots are to be used for certain aspects of food preparation, it's important that they are able to'taste' what they're cooking," said Grzegorz Sochacki, one of the researchers, from Cambridge's department of engineering.


Robot chef is trained to taste food at different chewing stages

Daily Mail - Science & tech

A robot chef has been trained to'taste' food at different stages of the chewing process – just like humans do. The machine, created at the University of Cambridge, consists of a probe that can detect salt levels in food attached to the end of a robotic arm. Experts used the robot to taste scrambled eggs during different stages of mastication, including a runny liquid as it would appear just prior to swallowing. According to the scientists, robotic chefs that'taste test' dishes instead of humans could be a fixture of busy restaurant kitchens of the future. A robot'chef' has been trained to taste food at different stages of the chewing process to assess whether it's sufficiently seasoned. The perception of taste is a complex process in humans that has evolved over millions of years.


The Collaboration Muscle: LinkedIn's Ya Xu

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Over the course of her nine-year tenure at LinkedIn, Ya Xu has held technology roles with increasing responsibility. Today, she heads the data function for the online professional networking platform. Ya Xu has been a driving force in transforming LinkedIn into a data-first company since she first joined the organization in 2013. As head of data, she leads a global team of about 1,000 data scientists and AI engineers whose work is at the core of delivering economic opportunities to LinkedIn's members and customers. Xu's emphasis on responsible AI and data science ensures that LinkedIn's AI systems put people first and enables the company to empower its members, better serve its customers, and benefit society. In addition to her work at LinkedIn, Xu has coauthored the book Trustworthy Online Controlled Experiments (Cambridge University Press, 2020), has been named to Fortune's 40 under 40 in tech, and was nominated for VentureBeat's Women in AI Awards. She has delivered countless speeches, including a commencement speech to Stanford's class of 2019 in mathematics, statistics, and mathematical and computational science. Previously, Xu worked at Microsoft and earned a Ph.D. in statistics from Stanford University. Ya joins hosts Sam Ransbotham and Shervin Khodabandeh in this episode of the Me, Myself, and AI podcast, where she discusses AI's essential role in helping LinkedIn create the best "matches" -- content creators with content consumers, job seekers with employers, and buyers with sellers -- within its three key marketplaces. Ya also describes how the company has fostered a data-first culture from the top down, and how its vast amount of economic activity data is helping governments and policy makers worldwide.


Covid-19 news: Cognitive impairment equivalent to 20 years of ageing

New Scientist

Covid-19 can cause lasting cognitive and mental health issues, including brain fog, fatigue and even post-traumatic stress disorder. To better understand the scale of the problem, researchers at the University of Cambridge analysed 46 people who were hospitalised due to the infection between March and July 2020. The participants underwent cognitive tests on average six months after their initial illness. These results were compared against those of more than 66,000 people from the general population. Those hospitalised with covid-19 scored worse on verbal analogical reasoning tests, which assess an individual's ability to recognise relationships between ideas and think methodically. They also recorded slower processing speeds. Previous studies suggest glucose is less efficiently used by the part of the brain responsible for attention, complex problem-solving and working memory after covid-19. Scores and reaction speeds improved over time, however, any recovery was gradual at best, according to the researchers. This cognitive impairment probably has multiple causes, including inadequate blood supply to the brain, blood vessel blockage and microscopic bleeds caused by SARS-CoV-2 virus, as well as damage triggered by an overactive immune system, they added. "Around 40,000 people have been through intensive care with covid-19 in England alone and many more will have been very sick, but not admitted to hospital," Adam Hampshire at Imperial College London said in a statement. "This means there is a large number of people out there still experiencing problems with cognition many months later." The biological mechanism behind a rare and severe covid-19 response seen in some children may have been uncovered by researchers at the Murdoch Children's Research Institute in Melbourne, Australia. Doctors have so far been unable to identify why some children develop multisystem inflammatory syndrome (MIS) in response to covid-19, which can cause symptoms such as fever, abdominal pain and heart disease.


Ocado is using an army of 2,000 robots in its East London fulfilment centre

Daily Mail - Science & tech

It may look like a nightmare sequence from a science fiction film, but a network of fast-working robots is now hard at work in East London. British grocery giant Ocado is using an army of robots at its 563,000 square foot warehouse in Erith next to the Thames to gather up items for customer orders. More than 2,000 robots are working there non-stop for 20 hours a day, each picking up to 2 million food items in a shift – far beyond the capability of a human worker. The eight-wheeled robots scoot around a giant grid-like structure called the'Hive', so-called for its honeycomb-like holes that contain inventory. Powered by an algorithm, the robots pick up crates of items to take to a human to put into shopping bags for delivery.


Using AI and Machine Learning to Reduce Wastewater Flooding

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COVENTRY, England, April 29, 2022 /CSRwire/ - An article published in WaterWorld magazine outlines how Rockwell Automation (NYSE: ROK) is among a group of global innovators exploring how the United Kingdom's second-largest water company, Severn Trent, can use artificial intelligence and other advanced technologies to improve the region's environmental well-being. The article notes, "The UK's water industry and its regulators agree that climate change, population growth, urban expansion, increasing water consumption, and changing customer behaviors mean that the industry needs solutions that are flexible and capable of adapting to what future demand will throw at them." As part of the endeavor, Rockwell teams specializing in network and cybersecurity, AI, and machine learning applications are providing guidance as well as counsel and support on other emerging technologies. Rockwell software and hardware will also be part of the solution. Rockwell's Mark Watson, account manager, water and wastewater solutions, says the project will demonstrate "how the adoption of AI and machine learning, in addition to access to both real time and historical data, can deliver an intelligent Connected Enterprise application that can be scalable and deployable within the UK water sector."


Ai-Da robot gives public performance of her own poetry

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When people think of artificial intelligence, the images that often come to mind are of the sinister robots that populate the worlds of "The Terminator," "i, Robot," "Westworld," and "Blade Runner." For many years, fiction has told us that AI is often used for evil rather than for good. But what we may not usually associate with AI is art and poetry -- yet that's exactly what Ai-Da, a highly realistic robot invented by Aidan Meller in Oxford, central England, spends her time creating. Ai-Da is the world's first ultra-realistic humanoid robot artist, and on Friday she gave a public performance of poetry that she wrote using her algorithms in celebration of the great Italian poet Dante. The recital took place at the University of Oxford's renowned Ashmolean Museum as part of an exhibition marking the 700th anniversary of Dante's death.