近年来,随着计算机计算能力的增强和大数据时代数据的爆发性增长,神经网络在解决上述问题的过程中取得了非常出色的成绩,例如,像google alpha战胜李世石这样的标志性事件。神经网络在向未来的AI时代开进的过程中,可谓是出尽了风头,前景一片光明。 对于神经网络,全称应该是人工神经网络,是对生物神经网络的模拟。大概的,对...
为了解决这一挑战,AI 模型水印技术应运而生,其将多媒体数字水印技术的思想推广至人工智能领域,进而开创了一个全新的领域。2017年在 ICMR(CCF B)会议上发表的《Embedding Watermarks into Deep Neural Networks》是 AI 模型水印技术的开山之作。此文当年获得了 ICMR 会议的最佳论文候选,虽然没有斩获 ICMR 会议的...
Observation #1.When a network is initialized before the training process, there’s always some likelihood that the randomly assigned connection strengths end up in an untrainable configuration. In other words, no matter how many animal photos you feed the neural network, it won’...
What is a transformer neural network? Transformer neural networks are worth highlighting because they have assumed a place of outsized importance in the AI models in widespread use today. First proposed in 2017, transformer models are neural networks that use a technique called "self-attention" to...
To overcome these problems, in this paper, we propose a new interconnect network, called AINoC, for future DNN accelerators, which require more flexibility and less power consumption to facilitate their integration into artificial intelligence (AI) edge systems. AINoC is based on (1) parallel ...
Scientists have created a neural network with the human-like ability to make generalizations about language1. The artificial intelligence (AI) system performs about as well as humans at folding newly learned words into an existing vocabulary and using them in fresh contexts, which is a key aspect...
Neural Networks for Game AI: A Comprehensive Overview 1.背景介绍 随着计算机游戏的不断发展和进步,游戏人工智能(AI)已经成为游戏开发中的一个重要组成部分。在过去的几十年里,游戏AI的研究和应用已经取得了显著的进展,但仍然面临着许多挑战。这篇文章将深入探讨神经网络在游戏AI中的应用和挑战,并提供一个全面的...
Technology advancement in the AI and robotics field has brought many miracles to the world. AI has made possible many automobile industries to go beyond the visionary of mankind. Also performing surgeries with robots is a high-tech trend that makes errors to 0.0000001% chance. ...
Recurrent neural network:递归神经网络 输出的结果再作为输入,传递给神经网络 one-to-many/ many-to-one output 特别适合处理需要连续输出的场景 sequance output Project Traffic 这次我们要构建一个有图像识别能力的AI,用来识别一些交通标志 我们需要自己探索cv2和tensorflow这两个库的使用方式,来提升模型的准确度(开启...
The current AI revolution is actually a computational evolution. Intel has been at the heart of advancing the limits of computation since the invention of the integrated circuit. We have early partners in industry and research who are walking with us on this journey to make the first commercially...