Thinking Allowed

medical / technology / education / art / flub

showing posts for 'networks'

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

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

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

Internet user classification

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

Tracking SARS-CoV-2 variants

 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

It just got a little easier to move your Facebook posts to some other platform

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 â…
Source: niemanlab.org

AT&T lobbies against nationwide fiber, says 10Mbps uploads are good enough

AT&T admits fiber is most "future-proof" but wants US to fund slower networks.
Source: arstechnica.com

Multimodal Neurons in Artificial Neural Networks

We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually.
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

Robin Dunbar suggests negative impact of pandemic on friendships likely to be fleeting

Psychologist suggests negative impact of pandemic on friendships likely to be fleeting: Robin Ian MacDonald Dunbar, a psychologist at the University of Oxford, has conducted a review of the literature and concluded that the impact of the pandemic on friendships is likely to be fleeting. He has published...
Source: phys.org

Solving Rubik

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

Artificial intelligence yields new antibiotic

Artificial intelligence yields new antibiotic: A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria. “The idea of using predictive computer models for “in silico” screening is not new, but until now, these models were not sufficiently...
Source: mit.edu

Yes you can learn surgery via YouTube

"Doctors are turning to YouTube to learn how to do surgical procedures, but there's no quality control: Tens of thousands of videos on YouTube show surgeries ranging from face-lifts to knee replacements. But the content isn't vetted or curated, and some doctors say it should be." The platform dominance...
Source: cnbc.com

Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation

Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems: Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for...
Source: nature.com

Smart Identification of Psoriasis by Images Using Convolutional Neural Networks: A Case Study in China. - PubMed - NCBI

Smart Identification of Psoriasis by Images Using Convolutional Neural Networks: A Case Study in China. - PubMed - NCBI
Source: nih.gov

Could deep learning AI be used to screen TIA clinic referral letters? Possibly.

blog post image Could deep learning AI be used to screen TIA clinic referral letters? Possibly. Stroke prevention clinics (TIA or Transient Ischaemic Attack) clinics are an important aspect of urgent care. A TIA is a risk factor for future stroke. Medical treatment needs to be started quickly and surgical options, if...
Source: agnate.co.uk

Robust Neural Machine Translation: In recent years, neural machine translation (NMT) using Transformer models has experienced

Robust Neural Machine Translation: In recent years, neural machine translation (NMT) using Transformer models has experienced tremendous success. Based on deep neural networks, NMT models are usually trained end-to-end on very large parallel corpora (input/output text pairs) in an entirely data-driven...
Source: googleblog.com

Intel’s Neuromorphic System Hits 8 Million Neurons, 100 Million Coming by 2020: The 64-chip Pohoiki Beach system is used

Intel’s Neuromorphic System Hits 8 Million Neurons, 100 Million Coming by 2020: The 64-chip Pohoiki Beach system is used by researchers to make systems that learn and see the world more like humans. "At the DARPA Electronics Resurgence Initiative Summit today in Detroit, Intel plans to unveil an 8-million-neuron...
Source: ieee.org

Enjoyed this graphic that shows how sometimes, if you work alone too much, you are not able to connect with others to really

Enjoyed this graphic that shows how sometimes, if you work alone too much, you are not able to connect with others to really share your ideas. Keep interconnecting even to those that don't seem to be immediately relevant to what you are doing. Working in organisations involves an awareness of networks...
Source: medium.com

Instead of building (only) strong relationships we should aim for many acquaintances. There is resilience for organisations

Instead of building (only) strong relationships we should aim for many acquaintances. There is resilience for organisations and communities in these weak ties. Granovetter’s theory of the strength of weak ties.
Source: analytictech.com