intelligence, nature and structure of “intelligence”- how and why people differ in systematic ways, spurred in part by theorizing of natural variation by Charles DarwinDarwin's cousin Sir Francis Galton's - role in founding of field of inquiry, psychology of individual differences (or ...
Current complex prediction models are the result of fitting deep neural networks, graph convolutional networks or transducers to a set of training data. A key challenge with these models is that they are highly parameterized, which makes describing and i
Learning how network structure shapes decision-making for bio-inspired computing Better understanding of a trade-off between the speed and accuracy of decision-making is relevant for mapping biological intelligence to machines. The authors introduce a brain-inspired learning algorithm to uncover dependenc...
An artificial intelligence (AI) model has learnt to recognize words such as ‘crib’ and ‘ball’, by studying headcam recordings of a tiny fraction of a single baby’s life. The results indicate that AI can help u...
Much of that progress comes down to increasingly massive data sets that link protein sequence to structure. But sophisticated methods of deep learning, a form of artificial intelligence (AI), have also been essential. 这项进展很大程度上归功于将蛋白...
Studies of twins 双胞胎的研究◇Studies on twins of identical and fraternal Conclusion: The greater the degree of sameness between the genetic structure ,the greater the relationship between the resulting intelligence of the twins. 基因结构的相同程度越高,双胞胎的智力的相关度就越高。◇Studies on twin...
如今,人工智能(Artificial Intelligence,AI)技术已经在多个领域大放异彩,并深入到我们的日常生活中。从围棋领域的AlphaGo到预测蛋白质构的AlphaFold,从去年的AI绘画到如今火遍全球的ChatGPT,人工智能作为一种新兴的颠覆性技术,正在逐步释放科技革命和产业变革积蓄的巨大能量,并深刻改变了人类的生活和思维方式。
Ultimately, major progress in artificial intelligence will come about through systems that combine representation learning with complex reasoning. Although deep learning and simple reasoning have been used for speech and handwriting recognition for a long time, new paradigms are needed to replace rule-bas...
Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years. It has turned out to be very good at discovering intricate structures in high-dimensional data and is therefore applicable to many domains of scien...
1.A virtual rodent predicts the structure of neural activity across behaviors; 2.MetaWorm: An Integrative Data-Driven Model Simulating C. elegans Brain, Body and Environment Interactions; 3.从遗传操控到自主行动--智能线虫的诞生; 4.NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster...