65 Reasons To Celebrate The 6502
"The legendary chip from 1975 that helped start the home computer revolution." I can remember sharing the manual for the 6502 with my school friend, Chris. He had a BBC micro computer and I had a Commodore Vic 20. To do the machine code I remember you had to: compile into 6502 instructions what you...
Source: substack.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
How machine learning might unlock earthquake prediction
Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety.
Source: technologyreview.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
Machines may be better at assisting, not replacing us.
Journalist Kawandeep Virdee sees if he can be replaced by AI by writing some predictions for 2024. "I gave ChatGPT the last 13 years of Nieman Lab predictions ... [and asked it what I'd write about in 2024]" [ChatGPT suggested] Navigating the infodemic: Strategies for media in the era of misinformation...
Source: niemanlab.org
AI can tell which chateau Bordeaux wines come from with 100% accuracy
A machine-learning algorithm was able to tell which estate 80 Bordeaux red wines came from with 100 per cent accuracy by assessing their chemical signatures
Source: newscientist.com
Mind-controlled wheelchairs let people dodge obstacles with ease Nature 2022.
A brain—machine interface allows people with paralysis in all four limbs to navigate a real-world environment. A brain—machine interface allows people with paralysis in all four limbs to navigate a real-world environment.
Source: nature.com
Meet the dazzling flying machines of the future
When you hear the word "drone," you probably think of something either very useful or very scary. But could they have aesthetic value? Autonomous systems expert Raffaello D'Andrea develops flying machines, and his latest projects are pushing the boundaries of autonomous flight -- from a flying wing that...
Source: ted.com
Red Hot: The 2021 Machine Learning, AI and Data (MAD) Landscape
Full resolution version of the landscape image here
It’s been a hot, hot year in the world of data, machine learning and AI.
Just when you thought it couldn’t grow any more explosively, the data/AI landscape just did: rapid pace of company creation, exciting new product and project launch
Source: mattturck.com
OpenAI's Codex Translates Everyday Language Into Computer Code
The company believes its Codex machine learning algorithm is the next step in programming—a sidekick for coders to speed up the work and ease the drudgery.
Source: singularityhub.com
Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review - PubMed Journal of psoriasis
Machine learning has significant potential to aid psoriasis evaluation and management. Current topics popular in ML research on psoriasis are the evaluation of medical images, prediction of complications, and treatment discovery. For patients to derive the greatest benefit from ML advancements, it i...
Source: nih.gov
PAIRED: A New Multi-agent Approach for Adversarial Environment Generation
This Google AI blog describes a method for machine learning using paired agents. The gap between the one that did the best and the one that did the worst is regret. That feeling of 'could have done' better is what pushes the 'unsupervised environment design' algorithm towards a better solution. "The...
Source: googleblog.com
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
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
Meet Nazirini AI App developer in Uganda
Machine learning meets African agriculture: Developers using TensorFlow to fight crop pests in Uganda. Meet Nazirini one of the developers.
Source: blog.google
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning? Ensembles
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning?
Ensembles are predictive models that combine predictions from two or more other models.
Ensemble learning methods are popular and the go-to technique when the best performance on...
Source: machinelearningmastery.com
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings: Posted by Daniel Freedman and Ehud Rivlin, Research Scientists, Google Health "In “Detecting Deficient Coverage in Colonoscopies”, we introduce the Colonoscopy Coverage Deficiency via Depth algorithm, or C2D2, a machine...
Source: googleblog.com
'Mum told me to give back to the community': the young Australian creating robots for good: As a 12-year-old in Cairns,
'Mum told me to give back to the community': the young Australian creating robots for good: As a 12-year-old in Cairns, Marita Cheng dreamt of building a robot that would do her chores. Two decades later, the former Young Australian of the Year is turning some of that dream into a reality - but the machines...
Source: theage.com.au
RSS feed