Intelligent control systems that integrate neural networks with emotional learning constitute a promising frontier in computational intelligence. These approaches combine the powerful pattern ...

As traditional power plants are replaced by intermittent sources like solar and wind, maintaining grid stability has become a complex engineering challenge. Hussain Khan’s doctoral dissertation at the ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a "black box." To better ...

With the rapid growth of global data traffic, enhancing the intelligence and efficiency of optical fiber communication systems has become even more crucial. Current intelligent signal processing ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

The edge, rapidly becoming the next playing field for networks, will be empowered by devices such as microcontrollers enabled ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...