Nightshade, the free tool that ‘poisons’ AI models, is now available for artists to use
"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
Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial
"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
Integrating basic sciences into clerkship rotation utilizing Kern’s six-step model of instructional design: lessons learned
Worked example of curriculum design using Kern's six-step approach. "Background It is generally agreed that basic and clinical sciences should be integrated throughout the undergraduate medical education, however, there is still need for continued formal integration of basic sciences into clinical...
Source: biomedcentral.com
A checklist for reporting, reading and evaluating Artificial Intelligence Technology Enhanced Learning (AITEL) research
"This paper proposes a checklist for reporting on AI systems, and covers the initial protocols and scoping, modelling and code, algorithm design, training data, testing and validation, usage, comparisons, real-world requirements, results and limitations, and ethical considerations. The aim is to have...
Source: tandfonline.com
What (else) happened? A key question for learning programmes.
Good paper from 2013 on the need to go beyond just asking 'did our programme work?' "It is clear that programme evaluations using traditional ‘outcomes-based’ models are inadequate for the health professions context. Consequently, the scholarship in health professions education has begun to incorporate...
Source: wiley.com
Discovery of a structural class of antibiotics with explainable deep learning.
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
This AI Trained on the Life Events of Every Person in Denmark. It Can Now Predict Their Future.
Artificial intelligence is very good at finding patterns. Given enough data it will start making telling you what's going to happen. "The AI can make highly accurate predictions about people’s lives, including how likely they are to die in a given time window and their personality traits." ... ...
Source: singularityhub.com
(We are not) using eHealth Data to Inform CPD for Medical Practitioners
"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
Coding excursions
Anonymity with encryption At Outcomes Engine we are working on techniques to gather data from learners, analyse the data, and share the data whilst maintaining anonymity. I was involved in some work in my previous company (pharmaceutical) with the security of personal data - in our case it was data...
The Biggest Discoveries in Computer Science in 2023
"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
Development and validation of Simulation Scenario Quality Instrument (SSQI)
A validated scale for measuring quality of simulation scenarios in medical education. "Background Due to the unmet need for valid instruments that evaluate critical components of simulation scenarios, this research aimed to develop and validate an instrument that measures the quality of healthcare...
Source: biomedcentral.com
Introducing Gemini: our largest and most capable AI model
Gemini is our most capable and general model, built to be multimodal and optimized for three different sizes: Ultra, Pro and Nano.
Source: blog.google
The legal framework for AI is being built in real time, and a ruling in the Sarah Silverman case should give publishers
That an AI model was trained on copyrighted material does not make all of the model's outputs a copyright violation.
Source: niemanlab.org
Large Language Models: Don't Believe the Hype
We've reached the Skynet moment for AI, it would seem. GPT-4, cast in the role of Terminator, has not only achieved consciousness, but it's coming for
Source: datanami.com
ChatGPT performs well in the USMLE (nearly passes with no training)
This pre-print paper suggests ChatGPT could change how assessments might be done. “We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and Step 3. ChatGPT performed at or near the...
Inside a radical new project to democratize AI
A group of over 1,000 AI researchers has created a multilingual large language model bigger than GPT-3—and they’re giving it out for free.
Source: technologyreview.com
Particle physics could be rewritten after shock W boson measurement
“The standard model of particle physics has stood the test of time for decades, but now a new measurement of a particle called the W boson could indicate a chink in its armour.” The scientists took 10 years to do the analysis as it was so complex! “The analysis was so complex that the result took...
Source: newscientist.com
Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million
We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12–16%...
Source: nature.com
Biopharma futures
I've been looking at a few industry reports on the future of biopharma as part of a course I'm on with INSEAD Business School on Business Strategy and Financial Performance. I thought I'd share some of my ramblings on Biopharma Futures. Expectations are high Pharmaceutical
companies are operating...
Source: deanjenkins.me
Biopharma 2020: A landmark year and a reset for the future
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
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