Using GPT-2 to generate Tweets
Last summer I blogged about using a Deep Neural Network to generate tweets but only used 3200 of my tweets. Since then I've used Twitter's archive mechanism to retrieve ALL my tweets (just over 30,000) to train a network. Not any old network - the GPT-2 model from OpenAI. This 'finetuning' of an existing...
Israel Reveals Newly Discovered Fragments of Dead Sea Scrolls
The finds, ranging from just a few millimeters to a thumbnail in size, are the first to be unearthed in archaeological excavations in the Judean Desert in about 60 years.
Source: nytimes.com
Contactless Sleep Sensing in Nest Hub
“People often turn to technology to manage their health and wellbeing, whether it is to record their daily exercise, measure their heart rate, or increasingly, to understand their sleep patterns. Sleep is foundational to a person’s everyday wellbeing and can be impacted by (and in turn, have an impact...
Source: googleblog.com
Vaccination isn’t the quick coronavirus solution many of us hoped for
Varying national approaches to dealing with the coronavirus and variance in how people respond to vaccines put new hurdles on the path to beating covid-19
Source: newscientist.com
The pandemic forced a massive remote-work experiment. Now comes the hard part
In March 2020, companies across the US abruptly shuttered their offices and instructed employees to work from home indefinitely as a result of the pandemic.
Source: cnn.com
Opinion: The UK has a huge rubbish problem – but building new waste incinerators isn’t the answer
Some take waste directly from businesses, but the vast majority burn the contents of our wheelie bins – and around 12 per cent of that is plastic
Source: independent.co.uk
This Soft Robot Stingray Just Explored the Deepest Point in the Ocean
The bot could be a game-changer in how we explore the deep sea, especially its bizarre marine life. It can handle living specimens without damaging them.
Source: singularityhub.com
Data-driven humanitarianism
An article from MIT Technology Review showing how the World Food
Programme uses geospatial data that is developed and made 'open' to all
by people within the areas being served. "It’s one of the most beautiful places on Earth, but its people are among the most vulnerable. Afghanistan’s snowy...
Source: technologyreview.com
'Undiscovered Titian painting' found in Ledbury church
"An art historian claims to have found the Renaissance master's signature during restoration work." Fascinating story especially the then - plague - and now - pandemic angle. Enormous dedication from the historian and team who have been working on it - over 11,000 hours of work. Can't remember seeing...
Source: bbc.com
Human origins: 'Little Foot' fossil's big journey out of Africa
"How the priceless skull of an ancient ancestor was brought to the UK from South Africa for study."
Source: bbc.com
Is the UK destined to be the next life science hub?
Jason Shafrin explores the question in The Economist about the role of British science in the pandemic and the future of the UK life sciences activity.
"With good data, efficient regulation, an international collection of talent, R&D funds focused on the health care, the UK could see big gains...
Source: healthcare-economist.com
NHS sets up mental health hubs for staff traumatised by Covid
Forty hubs in England will field calls from frontline staff and contact those at higher risk directly
Source: theguardian.com
Reconstructing the Menu of a Pub in Ancient Pompeii
When in Rome ... or Pompeii. "Eat like a first-century Roman, using recent archaeological discoveries as your guide." "In consideration of some of this evidence, if we were to hypothesize that what we’ve read in the Latin literary record about “boiled meat,” “broth and chunks of meat,” and...
Source: atlasobscura.com
Using the right tools for the job
Since this blog has been up I've fiddled with some text analysis stuff by analysing the text and making recommendations for similar blog entries. Did it all in PHP and MySQL just to understand how the algorithms work. Eventually it started to take about 5 hours to: tokenise and stemming the textcalculate...
A Convolutional Neural Network architecture for the recognition of cutaneous manifestations of COVID-19
To our best knowledge, this is the first machine learning-based study for automated detection of COVID-19 based on skin images and may provide a useful decision support tool for physicians to optimize contact-free COVID-19 triage, differential diagnosis of skin lesions and patient care. Mathur J, Chouhan...
Source: nih.gov
Decade-long study shows half of all rivers in the world heavily impacted by humans
A team of researchers from several institutions in France and China has conducted a decade-long study of the degree of human impact on river systems around the world over the past two centuries. In their paper published in the journal Science, the group describes their study and what their findings revealed.
Source: phys.org
Feeding your cat a very meaty diet may mean it kills less wildlife
In a small trial in the UK, pet cats fed on an unusually meaty diet brought home 36 per cent fewer prey animals than cats given a typical diet. "Domestic cats seem to hunt less when their diets are richer in animal-sourced protein, suggesting that feeding cats more meat could help reduce their impact...
Source: newscientist.com
3D Scene Understanding with TensorFlow 3D
Posted by Alireza Fathi, Research Scientist and Rui Huang, AI Resident, Google Research "The growing ubiquity of 3D sensors (e.g., Lidar, depth sensing cameras and radar) over the last few years has created a need for scene understanding technology that can process the data these devices capture. Such...
Source: googleblog.com
Introducing Open-AI's DALL-E.
Ever wondered what an armchair in the shape of an avocado might look like? Introducing Open-AI's DALL-E.
Does this help with accessibility by explaining things in pictures from written words? Does it risk replacing humans in the creative industry with machines?
"DALL·E: Creating Images from...
Source: openai.com
11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological
11 TOPS photonic convolutional accelerator for optical neural networks: Convolutional neural networks, inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to provide greatly reduced parametric complexity...
Source: nature.com
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