Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

Add Yahoo as a preferred source to see more of our stories on Google. Researchers identified hyperconnected brain wiring as the root cause of movement and cognitive symptoms. An international team ...

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...

The cerebral cortex, the brain's outermost region responsible for higher cognitive functions, depends on a highly ordered, ...

Thread is a protocol designed to connect smart home devices in a wireless mesh network. It works much like Wi-Fi but requires less power. With Thread, devices from any manufacturer can create a ...

Parkinson's disease does more than cause tremor and trouble walking. It can also affect sleep, smell, digestion and even thinking. That may be because the disease disrupts communication in a brain ...