Scientific American1d
Google’s AI Can Beat the Smartest High Schoolers in Math
Google’s AlphaGeometry2 AI reaches the level of gold-medal students in the International Mathematical Olympiad ...
Deep neural network may soon replace invasive procedures as new gold standard for monitoring heart health
The ancient Greek philosopher and polymath Aristotle once concluded that the human heart is tri-chambered and that it was the ...
DeepMind claims its AI performs better than International Mathematical Olympiad gold medalists
An AI system developed by Google DeepMind, Google's premiere AI research lab, has surpassed the average gold medalist in ...
Princeton University5d
John Hopfield and Fei-Fei Li win Queen Elizabeth Prize as pioneers in modern AI
Princeton's John Hopfield, the 2024 Nobel Laureate in Physics, and alumnus Fei-Fei Li of the Class of 1999 were two of seven ...
AI and neural networks can reduce wait times for lesion classification in breast cancer patients
One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...
Why We Need Neuro-Symbolic AI
Neural AI (often referred to as neural network technology) applies pattern recognition on large datasets based on the complex ...
Scientific Research Publishing16d
Zhang, G.P. (2003) Time Series Forecasting Using a Hybrid ARIMA and Neural Network Model. Neurocomputing, 50, 159-175.
ABSTRACT: This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA(1, 1, ...
Scientific Research Publishing16d
Brockwell, P.J. and Davis, R.A. (2016) Introduction to Time Series and Forecasting. 2nd Edition, Springer.
ABSTRACT: This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA(1, 1, ...
unite24d
Neural Processing Units (NPUs): The Driving Force Behind Next-Generation AI and Computing
A cornerstone of neural network computation is the concept of weights, which represent the “strength” or “importance” of each neuron’s connection in the network. NPUs integrate these weights directly ...
VentureBeat26d
Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...