On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...

A first-of-its-kind artificial intelligence (AI)-based neural network can rapidly analyze and interpret millions of cells from a patient sample, predicting molecular changes in the tissue. It can ...

An openly available generative AI tool can interpret millions of cells in human tissues in hours, revealing new insights and allowing researchers and clinicians to ask questions about conditions such ...

Three years ago, OpenAI cofounder and former chief scientist Ilya Sutskever raised eyebrows when he declared that the era's most advanced neural networks ... another AI outfit sporting the ...

A synthesis of these two solutions is neuro-symbolic AI: blending the pattern-recognition prowess of neural networks with the rule-based clarity of symbolic systems. By combining these two ...

For now, the company is selling the device as a way to train "biological AI," meaning neural networks that rely on actual neurons. In other words, the neurons can be "taught" via the silicon chip.