My next tweet could be generated by a deep-learning neural network. I've been training one. Would anyone notice the difference? Could I just hand over tweeting to my machine? Method: downloaded the last 3200 Tweets that I posted using allmytweets.netpruned the dates off and removed the RTs by using some...
Source: agnate.co.uk
Solving Rubik’s Cube with a Robot Hand: We've trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. Instead of thinking too much about the complex algorithms to solve the task they instead focus on creating complex worlds where the machine can learn. This of course...
Source: openai.com
UNSDG | A UN framework for the immediate socio-economic response to COVID-19. The five streams of work that constitute this package include: 1. ensuring that essential health services are still available and protecting health systems; 2. helping people cope with adversity, through social protection...
Source: unsdg.un.org
Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. "We show that in the UK and US context, suppression will minimally require a combination of social distancing of the entire population, home isolation of cases and household quarantine of their...
Source: imperial.ac.uk
A collection of information sources for COVID-19. The NHS 111 online COVID-19 service. The first point of call for someone in the UK who thinks they have symptoms or have been exposed whilst travelling. The NHS Coronavirus COVID-19 information webpage. UK Government's Coronavirus action plan. Public...
Open University publishes a review of learning technologies looking at how pedagogy is changing. This year's report "Innovating Pedagogy 2020" highlights a number of emerging trends in education or learning. The report is well referenced and gives practical advice on how best to apply these innovations....
Source: edtechie.net
“Because of the complexity of delivering better cancer care and the dynamics of NHS funding and introducing better practices in the health service there is a strong case for developing new cancer strategies for all the UK nations for the 2020s. Britain could also benefit from leading an independent...
Source: ucl.ac.uk
Archaeologists found 143 more images among the Nazca Lines: The team used a machine-learning algorithm to search aerial photos for geoglyphs.
Source: arstechnica.com
Drugmaker to Test Machine Learning to Prevent Drug Shortages: Germany-based Merck plans to use analytics and machine learning to predict and prevent drug shortages, a move that could also save it money.
Source: wsj.com
'Dying with smartphones' by Daniel Miller "The hospice movement has grown up respecting that most people want to die in their own homes, even when they are living alone. But where is that home?" "We have witnessed how smartphones are becoming part of us, rather than simply something we use. Humanity...
Source: wordpress.com
"To encourage ongoing dialogue, Weizenbaum designed Eliza to simulate the type of conversational style used by a Rogerian psychoanalyst. The program would take something the user said and reflect it back with a question
... during their brief interactions with Eliza, many users began forming emotional...
Source: ieee.org
"Two of the world’s biggest fund management bosses have called for a rethink of capitalism and its obsession with constant economic growth, in a plaintive appeal for business and governments to deal more decisively with the challenges of climate change.
Anne Richards, chief executive of Fidelity...
Source: www.ft.com
It marks the first time Pharmaceutical company Eisai has moved beyond medications and into digital health. The company’s Amazon Alexa skill – Ella the Jellyfish – has been developed for children with Lennox-Gastaut Syndrome (LGS) and was created with input from patients, their families and caregivers.
Source: epmmagazine.com
Publication bias is a challenge in science and a criticism of the influence of industry. In the domain of biosciences and drug development more accountability (e.g. the FDAAA 2007), editorial and peer-review training (as suggested by the Cochrane Collaboration), and statistical techniques (as championed...
14 Different Types of Learning in Machine Learning: Machine learning is a large field of study that overlaps with and inherits ideas from many related fields such as artificial intelligence. The focus of the field is learning, that is, acquiring skills or knowledge from experience. Most commonly, this...
Source: machinelearningmastery.com
A critical makeover for pharmaceutical companies: Overcoming industry obstacles with a cross-functional strategy. PwC report. Going all "cross-functional" or "breaking down silos"?
"Compounding the external obstacles, however, is the internal culture of most pharma companies. This is an industry...
Source: pwc.com
Researchers "Translate" Bat Talk. Turns Out, They Argue—A Lot: A machine learning algorithm helped decode the squeaks Egyptian fruit bats make in their roost, revealing that they “speak” to one another as individuals.
Source: smithsonianmag.com
A Gentle Introduction to Joint, Marginal, and Conditional Probability: Probability quantifies the uncertainty of the outcomes of a random variable. It is relatively easy to understand and compute the probability for a single variable. Nevertheless, in machine learning, we often have many random variables...
Source: machinelearningmastery.com
Four Key Barriers to the Widespread Adoption of AI: There is a lot of buzz about the promise of artificial intelligence (AI) and machine learning—from self-driving cars to predicting heart attacks, AI is spreading like wildfire across industries, triggering a massive investment in talent as businesses...
Source: mit.edu
AI Evidence Mapping. Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence. “Here, we describe a fully automated evidence synthesis system for intervention studies, one that identifies all the relevant evidence, assesses the evidence for reliability...
Source: bmj.com