AlphaFold Changed Science. After 5 Years, It’s Still Evolving

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
IEEE

Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer

Abstract: The performance of artificial neural networks heavily depends on the optimization of network parameters, specifically weights and biases, during the ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
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 ...
Frontiers

Pre-training, personalization, and self-calibration: all a neural network-based myoelectric decoder needs

Myoelectric control systems translate electromyographic signals (EMG) from muscles into movement intentions, allowing control over various interfaces, such as prosthetics, wearable devices, and ...
Ars Technica

How a big shift in training LLMs led to a capability explosion

In April 2023, a few weeks after the launch of GPT-4, the Internet went wild for two new software projects with the audacious names BabyAGI and AutoGPT. “Over the past week, developers around the ...
Scientific Research Publishing

Genetic Algorithms and Neural Network Approach in Determining the Directions of Linear Patch Antenna Arrays ()

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...
Frontiers

Optimizing event-driven spiking neural network with regularization and cutoff

Spiking neural networks (SNNs), which are the next generation of artificial neural networks (ANNs), offer a closer mimicry to natural neural networks and hold promise for significant improvements in ...