This special 30-minute interactive Data Science Central webinar includes a series of audience games and experiments that explore the relationship between people and data through the neuroscience of human perception, memory, decision making, and narrative. Watch to gain a clear understanding of how people make decisions and experience their world to help uncover the best ways to guide analytics functions and set an agenda for a data-driven culture within your own organization, through a series of practical, real-world examples.
One of the many consequences of the COVID-19 pandemic is a global shortage of the microchips that are essential to electronic devices. The factories that make these chips had to shut down for some of the pandemic, and are struggling to cope with an increase in demand. Some products could be delayed by months. It's too early to know how the shortage will affect the industry in the long term, but the pandemic has focused attention on some key research questions -- including how to make the manufacturing process more resilient to shocks and emergencies. One well-known problem is that microchips are designed in just a handful of companies, including Samsung in South Korea and Intel, NVIDIA and Qualcomm in California. But not all these companies make the chips.
Well, I think AI is quite a broad term. The type of AI that has generated a lot of excitement in recent years is called'deep learning'. This is a process by which software programs learn to perform certain tasks by processing large quantities of data. Deep learning is what has made ophthalmology a pioneer in the field of implementing AI in medicine, because we are increasingly reliant on imaging tests to monitor our patients. Particularly in my subspecialty of interest, medical retina, imaging tests such as optical coherence tomography (OCT) are performed very frequently and have provided the material to train and test and then apply AI decision support systems.
Given how stress-inducing the real world can be at the best of times, movies that rely on tension as a driving force might seem like an odd entertainment choice to some. But who are we to judge? Maybe spending 90 minutes sweating and wincing in front of the TV screen is actually a cathartic way to let off some steam -- and at the very least, a suspense movie is always a great way to get the ol' heart-rate up. But what actually is a suspense movie? How is it different to a thriller?
Applications of artificial intelligence are growing every day in different sectors. There are numerous instances of AI applications in healthcare. The AI that occurs in hearing aids has actually been going on for years and the following is about how it happened. Hearing aids used to be relatively simple, he notes, but when hearing aids introduced a technology known as wide dynamic range compression (WDRC), the devices actually began to make a few decisions based on what is heard. For hearing aids to work effectively, they need to adapt to a person's individual hearing needs as well as all sorts of background noise environments. AI, machine learning, and neural networks are very good techniques to deal with such a complicated, nonlinear, multi-variable problem.
The Department of Health and Social Care has announced a £36 million increase in funding for AI technology-based healthcare services and products. Sir Simon Stevens, Chief Executive of NHS England, said: "Through our NHS AI Lab we're now backing a new generation of groundbreaking but practical solutions to some of the biggest challenges in healthcare. Precision cancer diagnosis, accurate surgery, and new ways of offering mental health support are just a few of the promising real-world patient benefits. Because as the NHS comes through the pandemic, rather than a return to old ways, we're supercharging a more innovative future." "So today our message to developers worldwide is clear – the NHS is ready to help you test your innovations and ensure our patients are among the first in the world to benefit from new AI technologies."
Progentec, a leader in diagnostic and digital technologies for the proactive management of autoimmune diseases, announced an 18-month collaborative research agreement with GlaxoSmithKline (GSK) to evaluate novel measurement and management tools for systemic lupus erythematosus (SLE or lupus). At least 5 million people worldwide are living with lupus, one of the most complex autoimmune diseases. It's difficult to diagnose and even more challenging to treat. The condition is associated with a range of debilitating symptoms that can fluctuate over time, including painful or swollen joints, extreme fatigue, unexplained fever, skin rashes, and organ damage. Up to 50% of SLE patients experience irreversible organ damage within five years of diagnosis and this damage is associated with a poor long-term prognosis and early mortality.
Tech hiring hasn't been this high since 2016, meaning that the number of jobs on offer is breaking new records despite the COVID-19 pandemic. Tech jobs have rarely been hotter: job search engine Adzuna has reported that for the past few months, there have been consistently over 100,000 tech job offers per week live on the platform, with one week in May even seeing an unprecedented peak of 132,000 offers. The data, which was compiled for the UK government's digital economy council, suggests that the industry is recovering from the impact of the COVID-19 pandemic at pace. In comparison, last June saw tech vacancies fall to less than 44,000 offers. Upskilling will be a part of work's new normal.
A group of researchers at the University College London and Africa Health Research Institute have constructed an application using artificial intelligence, capable of improving diagnoses of HIV among people with low socioeconomic status. First released in the journal Nature Medicine, researchers used deep learning algorithms, a form of artificial intelligence, to build more robust diagnoses of HIV-based tests for South African populants. "Although deep learning algorithms show increasing promise for disease diagnosis, their use with rapid diagnostic tests performed in the field has not been extensively tested. Here we use deep learning to classify images of rapid human immunodeficiency virus (HIV) tests acquired in rural South Africa," Valérian Turbé and fellow research colleagues wrote in their findings. "Using newly developed image capture protocols with the Samsung SM-P585 tablet, 60 fieldworkers routinely collected images of HIV lateral flow tests."
The NHS is set to receive a £36m injection to bolster its AI capabilities across 38 new projects designed to make diagnoses faster. While the NHS has been handling the Covid-19 pandemic, concerns over a diagnoses backlog have emerged, with people more hesitant to go to the GP or hospital for check-ups. The new technology will help detect cancers and provide mental health support and form part of the NHS AI Lab's £140m AI in Health and Care award money pot – which will be dished out over three years. Chief executive of NHS England, Simon Stevens, said: "As the NHS comes through the pandemic, rather than a return to old ways, we're supercharging a more innovative future. "So today our message to developers worldwide is clear – the NHS is ready to help you test your innovations and ensure our patients are among the first in the world to benefit from new AI technologies."