From solving puzzles to masterfully playing a game of chess, current artificial intelligence tools have employed algorithms ...

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent breakthroughs indicate that the answer is affirmative, with a molecular ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

The research team integrated photonic technology to embed complex optical modules into tiny silicon chips. The advantage of ...

What if AI isn’t dumbing us down but raising humanity’s IQ? Discover how smarter tools could reshape our future. Halo X glasses don’t have a camera and don’t indicate when they’re recording audio. We ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Deep neural networks will move past their ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

In the machine learning world, the sizes of artificial neural networks — and their outsize successes — are creating conceptual conundrums. When a network named AlexNet won an annual image recognition ...

Using brain organoids, scientists discover how neurons might misfire due to schizophrenia and bipolar disorder.