"The tool's creators are seeking to make it so that AI model developers must pay artists to train on data from them that is uncorrupted." Artists can now use this software to modify their art and influence the big tech owners of AI tools to properly recognise the original works. Growing the poisonous...
Source: venturebeat.com
"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com
Paul LeBlanc and George Siemens are teaming up to explore how AI is going to change higher education. "LeBlanc transformed SNHU from 2500 students in 2003 to over 200,000 students in 20 years by using technology to switch delivery online." Siemens is one of the proposers of connectivism - a theory...
One of the challenges with deep learning (neural networks) is that although they find patterns the reasoning disappears into an endless detail of numbers. In this paper the researchers built an 'explainable' AI to discover antibiotics instead of such a 'black box'. "The discovery of novel structural...
Source: nature.com
"There is no formal or well-established correlation between individual performance data obtained through eHealth data analysis and CPD planning and programming for medical practitioners; in particular, the literature shows no consistency in type of eHealth data to analyze, software and tools to use,...
Source: nih.gov
"Artificial intelligence learned how to generate text and art better than ever before, while computer scientists developed algorithms that solved long-standing problems." Links to further papers and discussion on topics including: Tackling "P versus NP" Emergent behaviours in large language models...
Source: quantamagazine.org
By detecting tiny movements of particles of light, a quantum microphone has recorded human speech that is easier to understand than if it is captured by an equivalent classical version
Source: newscientist.com
Biopharma in 2020 has shown what it can achieve when it works at its best. How can the industry build on this renewed sense of purpose in the years ahead? McKinsey biopharma 2020 3 Overarching trends Operating under a spotlight - expectation of innovationNavigating protracted economic uncertainty -...
Source: mckinsey.com
Grampound it seems is classified as 'e-Rational Utilitarian' ... but who is shouting out for more local facilities and better internet infrastructure? Checks notes ... methodological individualist and political liberals with social stratification (i.e. class, status distinctions) playing a relatively...
Source: cdrc.ac.uk
"Air pollution is one of the biggest environmental threats to human health, alongside climate change. New guidelines provide clear evidence of the damage air pollution inflicts on human health, at even lower concentrations than previously understood." "Global assessments of ambient air pollution alone...
Source: who.int
A judicial review into road works near the world heritage site finds for the campaigners.
Source: bbc.com
All viruses, including SARS-CoV-2, the virus that causes COVID-19, change over time. Most changes have little to no impact on the virus’ properties. However, some changes may affect the virus’s properties, such as how easily it spreads, the associated disease severity, or the performance...
Source: who.int
Social networks have typically followed the roach motel model of customer data: Make it easy to push data in, but hard/impossible to pull it back out. Platforms like Facebook, LinkedIn, Instagram, and Twitter all make money by knowing what information you've (wittingly or unwittingly) handed over ââ¦
Source: niemanlab.org
AT&T admits fiber is most "future-proof" but wants US to fund slower networks.
Source: arstechnica.com
Enjoyed this story of the ingenuity of local newspapers when struck with the crisis of extreme weather. What does it say for our other complex technology and business layers? When crisis strikes perhaps that's when you find the lowest common tech that works and exactly what purpose you are using it for....
Source: niemanlab.org
Experiential learning takes many forms, but one form has proven particularly potent: Active learning is more effective than explaining content.
Source: trainingindustry.com
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually.
Source: openai.com
There has been some work by teams at Google looking at analysing images to extract their 3D features. They launched a new feature called 'cinematic photos' and this blog posted by Per Karlsson and Lucy Yu, Software Engineers, of Google Research tries to explain how it works. "Looking at photos from...
Source: googleblog.com
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
Taking the temperature of the ocean by measuring the speed of sound waves passing through it: A team of researchers from the California Institute of Technology and the Chinese Academy of Sciences has developed a way to detect changes in ocean temperatures by measuring sound waves generated by underwater...
Source: phys.org