New Scientist

Quantum neural network may be able to cheat the uncertainty principle

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
EurekAlert!

Deep neural networks enable accurate pricing of American options under stochastic volatility

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...
TechCrunch

OK, what’s going on with LinkedIn’s algo?

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...
SlashGear

A New Algorithm Beats Dijkstra's Time For The Shortest Path To Any Point In A Network

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
IEEE

Genetic Algorithm-Based Search Space Exploration to Generate Best Convolutional Neural Network

Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...
Quanta Magazine

New Method Is the Fastest Way To Find the Best Routes

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.
IEEE

Research on the improvement of BP neural network model based on genetic algorithm

Abstract: BP neural network has been widely used in pattern recognition, predictive analysis, control optimization, data mining, etc. Optimizing its structure holds immense importance. For the sake of ...
Frontiers

Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs

Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...
ascopubs.org

Germline genetic testing among patients with pancreatic cancer (PC): A Pancreatic Cancer Action Network (PanCAN) patient survey.

Results of a program addressing multi-level barriers to completion of hereditary cancer genetic testing (GT) among underserved and minority individuals in Texas. This is an ASCO Meeting Abstract from ...
The National Law Review

Montana Amends Law to Cover Collection and Use of Neural Data

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...