BOND May 2025 Trends – Artificial IntelligenceTrends – Artificial Intelligence (AI) May 30, 2025 Mary Meeker / Jay Simons / Daegwon Chae / Alexander Krey2 Context We set out to compile foundational materially faster…and the machines can outpace us. The pace and scope of change related to the artificial intelligence technology evolution is indeed unprecedented, as supported by the data. This document to today with the world’s organized, connected and accessible information being supercharged by artificial intelligence, accelerating computing power, and semi-borderless capital…all driving massive change

Tutorial Keras is an open source deep learning framework for python. It has been developed by an artificial intelligence researcher at Google named Francois Chollet. Leading organizations like Google, Square ......................................................................................... 11 Artificial Neural Networks .............................................................................. becoming more popular in data science fields like robotics, artificial intelligence(AI), audio & video recognition and image recognition. Artificial neural network is the core of deep learning methodologies

‘main loop’ we continuously query to see if our function has returned ○ (I have added a few artificial sleeps to make it more interesting) 107Async I/O Simulation ● “mocked” version of using an ‘main loop’ we continuously query to see if our function has returned ○ (I have added a few artificial sleeps to make it more interesting) 108 Here we’ll create a background thread that will execute ‘main loop’ we continuously query to see if our function has returned ○ (I have added a few artificial sleeps to make it more interesting) 109 Here we are reading in ‘bytes’ from a file. Perhaps

2023; OpenAI, 2022, 2023) have undergone rapid development, offering a glimpse into the dawn of Artificial General Intelligence (AGI). In general, the intelligence of an LLM tends to improve as the number invest in open-source large models with longtermism, aiming to progressively approach the goal of artificial general intelligence. • In our ongoing exploration, we are dedicated to devising methods that Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence

these models can be trained to be fairly accurate over a longer term. Figure 1-1: Relation between Artificial Intelligence, Machine Learning, and Deep Learning. Deep learning is one possible way of solving solving machine learning problems. Machine learning in turn is one approach towards artificial intelligence. Deep learning with neural networks has been the dominant methodology of training new machine learning "Deep sparse rectifier neural networks." Proceedings of the fourteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings, 2011. Figure 1-2: Growth

Technology innovation and business innovation are going hand in hand in the Open Source 3.0 era. Artificial intelligence, open source data, and blockchain are some examples of emerging innovations on a to configuring and managing microservices. Baidu is also on the list with two projects, mainly artificial intelligence. The two projects are the core framework, Paddle, and the associated tool libraries 多个企业使用，涵盖金融、电信、安防、 智慧城市和电子商务等行业。 Zilliz is a next-generation data processing and analytics platform for artificial intelligence that provides the underlying technology for application-oriented enterprises. Mega

星际争霸与人工智能 阿里巴巴认知计算实验室 龙海涛 Why StarCraft? Challenge Problems for Artificial Intelligence Imperfect Information Huge State and Action Space Long-Term Planning Temporal and Spatial Reasoning learn human-level collaborations (or competitions) from their experiences? Cooperative Hunting Artificial Collective Intelligence https://arxiv.org/abs/1703.10069 Multiagent Bidirectionally-Coordinated

constraints.”Abstract “Most of the big gains in software productivity have come from removing artificial barriers that have made the accidental tasks inordinately hard, such as severe hardware constraints ”Silver bullets? • Ada and other high-level language advances • Object-oriented programming • Artificial intelligence • Expert systems • “Automatic” programming • Graphical programming • Program verification

Kubernetes 部署与企业对接 AI 技术介绍 AI 云平台介绍及构成 AI 与 Kubernetes 融合与架构解析 AI (Artificial Intelligence) 人工智能（英语：Artificial Intelligence, AI 亦称机器智能，是 指由人工制造出来的系统所表现出来的智能。通常人工智能是 指通过普通电脑实现的智能。同时也指研究这样的智能系统是

• 主动学习 • 智能标注 itags AI SaaS服务（OCR、语音识别、推荐系统、金融风控、疾病预测等） Infrastructure PAI平台（Platform of Artificial Intelligence） • 一键部署、弹性扩缩 • 多框架、多语言 • 推理优化Blade • 多维度监控+报警 • 自定义镜像 • 全托管+半托管 • 分布式训练优化 分布式训练(DLC) 在线服务(EAS) 生态市场 开发者工具 • CLI • PAIFlow • OpenAPI AI能力 体验中心 开源 PAI平台（Platform of Artificial Intelligence） Deep Learning Container 数据量大而全 先进的模型结构 业务场景复杂 计算力强、性价比高 提供 支撑 支撑 支撑 促进