AI相关时间表

|时间|内容|相关文档|讲师||-|-|-|-||12/13 20:00<br>（[直播回放](https://www.bilibili.com/video/BV1SHBLYtELB/)）|（单镜头）?1分钟学会，5分钟上手！AI创意视频创作指南！|[我AI北京比赛&有手就行的10s创意视频制作](https://waytoagi.feishu.cn/wiki/QybpwA9Ftid68AkN8WwcG8cLnWg)|@啊朔||12/14 20:00<br>（[直播回放](https://www.bilibili.com/video/BV1WZqdYwEDo/)）|(蒙太奇)用AI讲好一个故事|[我AI北京比赛&VB 5金选手教你做视频精英](https://waytoagi.feishu.cn/wiki/Rfu6wR1L2igZEXkuhzZc9yWPnib)|@二金||待定|用AI做好一张海报||@咖菲猫|

AI技术的发展历程和前沿技术点可以概括如下:[heading2]AI技术发展历程[content]1.早期阶段(1950s-1960s):专家系统、博弈论、机器学习初步理论2.知识驱动时期(1970s-1980s):专家系统、知识表示、自动推理3.统计学习时期(1990s-2000s):机器学习算法(决策树、支持向量机、贝叶斯方法等)4.深度学习时期(2010s-至今):深度神经网络、卷积神经网络、循环神经网络等[heading2]当前AI前沿技术点[content]1.大模型(Large Language Models):GPT、PaLM等2.多模态AI:视觉-语言模型(CLIP、Stable Diffusion)、多模态融合3.自监督学习:自监督预训练、对比学习、掩码语言模型等4.小样本学习:元学习、一次学习、提示学习等5.可解释AI:模型可解释性、因果推理、符号推理等6.机器人学:强化学习、运动规划、人机交互等7.量子AI:量子机器学习、量子神经网络等8.AI芯片和硬件加速

1.19.AI is already delivering major advances and efficiencies in many areas.AI quietly automates aspects of our everyday activities,from systems that monitor traffic to make our commutes smoother,17 to those that detect fraud in our bank accounts.18 AI has revolutionised large-scale safety-critical practices in industry,like controlling the process of nuclear fusion.19 And it has also been used to accelerate scientific advancements,such as the discovery of new medicine20 or the technologies we need to tackle climate change.212.20.But this is just the beginning.AI can be used in a huge variety of settings and has the extraordinary potential to transform our society and economy.22 It could have as much impact as electricity or the internet,and has been identified as one of five critical technologies in the UK Science and Technology Framework.23 As AI becomes more powerful,and as innovators explore new ways to use it,we will see more applications of AI emerge.As a result,AI has a huge potential to drive growth24 and create jobs.25 It will support people to carry out their existing jobs,by helping to improve workforce efficiency and workplace safety.26 To remain world leaders in AI,attract global talent and create high-skilled jobs in the UK,we must create a regulatory environment where such innovation can thrive.3.21.Technological advances like large language models(LLMs)are an indication of the transformative developments yet to come.27 LLMs provide substantial opportunities to transform the economy and society.For example,LLMs can automate the process of writing code and17 Transport apps like Google Maps,and CityMapper,use AI.18 Artificial Intelligence in Banking Industry:A Review on Fraud Detection,Credit Management,and Document Processing,ResearchBerg Review of Science and Technology,2018.19 Accelerating fusion science through learned plasma control,Deepmind,2022;Magnetic control of tokamak plasmas through deep reinforcement learning,Degrave et al.,2022.20