Source: Yoshitaka Tomiyama Published: 2020-03-04 / 44 minutes / 24,000 views Scope: The second in a series of explanations ...

Researchers from Tsinghua University, Xi'an Jiaotong University and Tongji University have developed EEGEmoLib, an open-source Python toolbox designed ...

Mobilint targets Koreas edge AI as Shin Dong-ju champions versatile NPUs Edge AI bet leans on Regulus SoC and Eris accelerator to bring versatile, power‑efficient models to robots and smart factories ...

A brain-inspired spiking network jointly learned what event would occur, when it would occur, and its likelihood using local ...

Neural mechanisms underlying emotional processing are not fully understood. Using intracranial recordings in humans, this study finds that transient amygdala beta bursts are associated with ...

Imagine hearing a familiar sound and expecting something to happen. Before the event arrives, the brain can predict what it will be, when it will occur and how likely it is. Yet computational models ...

Researchers at the University of Tokyo show that a single recurrent spiking neural network can learn event identity, timing, ...

Artificial intelligence (AI) models have transformed weather forecasting, but their skill for unprecedented weather extremes ...

Richard Socher, co-founder and CEO of Recursive, argues on the Peter Diamandis podcast that while weak forms of recursive self-improvement ...

Spread the love“`html It’s a narrative we’ve all become accustomed to hearing: the AI goldrush is creating unprecedented ...

According to @timnitGebru, Hinton amplified a paper on near-term intelligence explosion, sparking debate on longtermism and AI safety priorities.

The Illusion Divide: When exposed to a motion aftereffect, human observers perceive a stationary object as shifted in the opposite direction. Primate inferior temporal (IT) cortex neurons mirrored ...