Semi-stocks showdown: Who will come out on top?

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Artificial Intelligence 人工智能 (Full Version)

AI can be categorized based on capabilities and functionalities, with each category designed to perform specific types of tasks.

Categories by Capabilities
1. Narrow AI (Weak AI)
AI systems designed to perform a single specific task efficiently. These systems cannot perform tasks outside their pre-defined functions and lack general intelligence.
What it does:
• Voice assistants (Siri, Alexa)
• Image recognition for security
• Recommendation systems (Netflix, Amazon)
2. General AI (Strong AI)
AI systems that can perform any intellectual task a human can do, demonstrating cognitive abilities similar to humans, including problem-solving and learning.
Status: Still theoretical
What it would do:
• Adapt to any environment and task without prior training
• Understand context and make decisions like a human
3. Super AI (Artificial Superintelligence)
A hypothetical future AI that surpasses human intelligence in all fields, including creativity, problem-solving, and emotional intelligence.
Status: Speculative
What it would do:
• Innovate new technologies
• Solve complex global problems beyond human capacity.

Categories by Functionality
1. Reactive Machines
AI systems that only respond to specific inputs and lack memory or the ability to learn from past experiences.
What it does:
• Real-time decision-making, like chess-playing AI (IBM’s Deep Blue)
• Simple visual recognition tasks
2. Limited Memory AI
AI systems that can store past experiences and use them to make better decisions in the future. Most AI applications today fall into this category.
What it does:
• Autonomous vehicles (self-driving cars)
• Voice assistants that improve with usage
3. Theory of Mind AI
AI systems capable of understanding emotions, social cues, and intentions. Still in the research phase.
What it will do:
• Enhance customer service interactions by understanding user emotions
• Improve collaboration between humans and machines
4. Self-Aware AI
A theoretical form of AI that has self-awareness and consciousness.
What it would do:
• Make ethical decisions
• Exhibit true emotional intelligence and self-reflection

Categories by Application Domain
1. Computer Vision AI:
AI for analyzing and interpreting images and videos
Applications: Facial recognition, medical imaging, surveillance

$NVIDIA (NVDA.US)$ A leading designer of GPUs and AI hardware, NVIDIA’s products are integral to computer vision applications across various industries.

$Alphabet-A (GOOGL.US)$ Through its subsidiary Google, Alphabet develops computer vision technologies for applications like image search, autonomous driving (Waymo), and augmented reality.

$Microsoft (MSFT.US)$ Offers computer vision services through its Azure platform, including facial recognition and image analysis APIs.

$Meta Platforms (META.US)$ Utilizes computer vision in applications such as image and video content moderation, augmented reality experiences, and smart glasses development.

$Amazon (AMZN.US)$ Employs computer vision for applications like Amazon Go’s cashier-less stores, product recommendations, and image-based search features.

$Ambarella (AMBA.US)$ Specializes in low-power, high-definition video compression and image processing semiconductors, widely used in computer vision applications.

$Cognex (CGNX.US)$ Provides machine vision products that capture and analyze visual information for industrial applications, including quality control and automation.

$Luminar Technologies (LAZR.US)$ Develops advanced sensor technologies, including LiDAR, essential for computer vision in autonomous vehicles.

OmniVision Technologies, Inc.: Designs and manufactures advanced digital imaging solutions, including image sensors used in computer vision applications across various industries.

$CEVA Inc (CEVA.US)$ Licenses signal processing platforms and AI processors, including technologies for computer vision applications in consumer electronics and automotive markets.

$Veritone (VERI.US)$ Provides AI-driven solutions, including computer vision applications for media, entertainment, and government sectors.

2. Natural Language Processing (NLP):
AI for understanding, generating, and processing human language
Applications: Chatbots, language translation, sentiment analysis.

$IBM Corp (IBM.US)$ offers NLP solutions through its Watson platform, providing services like language translation, sentiment analysis, and text analytics.

$Microsoft (MSFT.US)$ integrates NLP into various products, including Azure Cognitive Services and AI-powered features in Office applications.

$Meta Platforms (META.US)$ employs NLP for content moderation, machine translation, and enhancing user interactions across its platforms.

$LivePerson (LPSN.US)$ Provides conversational AI solutions, utilizing NLP to enhance customer engagement through chatbots and messaging platforms.

$Veritone (VERI.US)$ Offers AI-driven solutions, including NLP applications for media, entertainment, and government sectors.

$SoundHound AI (SOUN.US)$ Develops voice-enabled AI and NLP technologies for various applications, including voice assistants and customer service.

3. Robotics AI:
AI to control and enhance physical machines
Applications: Industrial robots, autonomous drones, service robots.

$NVIDIA (NVDA.US)$ advanced GPUs and AI hardware are integral to robotics applications, providing the computational power necessary for machine learning and autonomous operations.

$Tesla (TSLA.US)$ is developing humanoid robots and has announced plans to produce several thousand by the end of 2025, aiming to integrate advanced AI into robotics.

$Amazon (AMZN.US)$ utilizes robotics extensively in its fulfillment centers to enhance efficiency and reduce labor costs, employing AI-driven robots for tasks such as sorting and package delivery.

$iRobot (IRBT.US)$ Known for its Roomba vacuum cleaners, iRobot integrates AI to enhance autonomous cleaning capabilities, enabling devices to navigate and clean homes efficiently.

$Intuitive Surgical (ISRG.US)$ Specializes in robotic-assisted surgical systems, utilizing AI to enhance precision and control during minimally invasive procedures.

$Rockwell Automation (ROK.US)$ Provides industrial automation solutions, incorporating AI to optimize manufacturing processes and improve operational efficiency.

$Knightscope (KSCP.US)$ Develops autonomous security robots that leverage AI for surveillance, threat detection, and reporting in various environments.

$Ekso Bionics (EKSO.US)$ Focuses on exoskeleton technology, using AI to assist individuals with mobility impairments and to enhance human capabilities in industrial settings.

$AeroVironment (AVAV.US)$ Designs and manufactures unmanned aerial systems (UAS) that employ AI for autonomous flight operations, primarily serving defense and commercial markets

$Richtech Robotics (RR.US)$ develops advanced robotic systems for industrial and commercial applications. Specializing in AI-driven robots, the company creates solutions for tasks such as automation in manufacturing, warehouse management, and logistics.

$Guardforce AI (GFAI.US)$ combines artificial intelligence and robotics to enhance security operations. The company develops AI-powered robotic systems for surveillance, patrolling, and monitoring in various environments, such as corporate buildings, airports, and other high-security locations.

4. Healthcare AI:
AI for diagnostics, treatment planning, and drug discovery
Applications: AI-assisted surgery, radiology analysis.

$Alphabet-A (GOOGL.US)$ Through its subsidiary Google Health, Alphabet is leveraging AI to assist in diagnosing diseases, preventing blindness, and addressing other healthcare challenges.

$GE HealthCare Technologies (GEHC.US)$ integrates AI into medical imaging and diagnostics to enhance patient care and operational efficiency.

$Ceribell (CBLL.US)$ has developed a headband equipped with an AI seizure-detection algorithm, enabling rapid seizure detection in hospital settings.

$Recursion Pharmaceuticals (RXRX.US)$ utilizes AI-driven platforms for drug discovery and development, aiming to accelerate the identification of new therapeutic candidates.

5. Autonomous Vehicles:
AI for self-driving technologies
Applications: Cars, delivery drones, logistics vehicles.

$Alphabet-A (GOOGL.US)$ Through its subsidiary Waymo, Alphabet is a leader in self-driving technology, operating autonomous ride-hailing services in multiple cities.

$Tesla (TSLA.US)$ is developing autonomous driving capabilities, with plans to launch robotaxi services in California and Texas in 2025.

$General Motors (GM.US)$ Through its subsidiary Cruise, GM has invested significantly in autonomous vehicle development, though it recently paused its robotaxi plans due to regulatory challenges.

$Ford Motor (F.US)$ is actively developing autonomous vehicle technology, focusing on integrating self-driving capabilities into its vehicle lineup.

$NVIDIA (NVDA.US)$ provides advanced AI hardware and software platforms essential for autonomous driving systems, partnering with various automakers and technology companies.

$Aurora Innovation (AUR.US)$ is developing self-driving technology for various applications, including freight and passenger transportation.

$Luminar Technologies (LAZR.US)$ Specializes in LiDAR technology, a critical component for many autonomous driving systems, and collaborates with multiple automakers.

$Aptiv PLC (APTV.US)$ focuses on advanced safety and autonomous driving technologies, supplying components and systems to the automotive industry.

$Velodyne Lidar Inc C/Wts 29/09/2025(To Pur Com) (VLDRW.US)$ Develops and manufactures LiDAR sensors used in autonomous vehicles for real-time 3D vision.

$Ouster (OUST.US)$ Provides high-resolution digital LiDAR sensors for autonomous vehicles, robotics, and other applications.

$Innoviz Technologies (INVZ.US)$ Offers solid-state LiDAR sensors and perception software for the automotive industry, aiming to enable mass production of autonomous vehicles.

6. AI in Finance:
AI for fraud detection, trading, and financial decision-making
Applications: Credit scoring, algorithmic trading.

$Visa (V.US)$ leverages AI to enhance payment security, detect fraud, and improve customer experiences.

$MasterCard (MA.US)$ Mastercard utilizes AI for real-time fraud detection, personalized customer services, and optimizing payment processes.

$PayPal (PYPL.US)$ employs AI to combat fraud, enhance user experience, and streamline payment operations.

$Intuit (INTU.US)$ Intuit uses AI in its financial software products, such as QuickBooks and TurboTax, to provide personalized financial advice and automate accounting tasks.

$BigBear.ai Holdings (BBAI.US)$ offers AI and machine learning solutions for decision support, including applications in finance.

$Innodata (INOD.US)$ provides AI data preparation services, including data collection, annotation, and training AI algorithms for clients in various industries, including finance.

$DarioHealth (DRIO.US)$ offers AI-powered digital health solutions, including financial management tools for healthcare expenses.

$SoundHound AI (SOUN.US)$ develops AI-driven voice recognition and conversational AI technologies, with applications in financial services for customer support and engagement.

$CXApp (CXAI.US)$ provides a workplace experience platform powered by AI, which can be utilized in financial institutions to enhance employee productivity and engagement.

$Duos Technologies (DUOT.US)$ offers AI-powered solutions for transportation and logistics, including financial applications related to asset management and risk assessment.

$Remark Holdings (MARK.US)$ develops AI products and solutions for various industries, including financial services, focusing on data analytics and security.

$Lemonade (LMND.US)$ Lemonade utilizes AI to offer insurance products, streamlining underwriting and claims processing, with potential applications in financial planning.

7. AI Hardware Providers:
Companies building specialized hardware to support AI workloads
Applications: GPUs, AI chips.

$NVIDIA (NVDA.US)$ A leading provider of GPUs essential for AI and machine learning applications.

$Intel (INTC.US)$ Offers a range of processors and accelerators designed for AI workloads.

$Advanced Micro Devices (AMD.US)$ Produces high-performance computing and graphics technologies suitable for AI applications.

$Qualcomm (QCOM.US)$ Develops AI-enabled processors for mobile devices and edge computing.

$Broadcom (AVGO.US)$ Supplies semiconductor solutions, including those optimized for AI and machine learning tasks.

$Marvell Technology (MRVL.US)$ Provides data infrastructure semiconductor solutions, including those for AI applications.

$Micron Technology (MU.US)$ Produces memory and storage solutions critical for AI data processing.

$Lam Research (LRCX.US)$ Supplies semiconductor processing equipment essential for manufacturing AI hardware.

$Applied Materials (AMAT.US)$ Provides equipment and services for semiconductor fabrication, including those used in AI hardware production.

8. AI Platforms and Services:
Cloud and software platforms offering AI tools and services
Applications: Microsoft Azure AI, AWS AI.

$Salesforce (CRM.US)$ Integrates AI into its customer relationship management platform through Salesforce Einstein, providing AI-driven analytics and automation tools.

$Adobe (ADBE.US)$ Incorporates AI into its creative and marketing software suite through Adobe Sensei, offering AI-powered tools for content creation and data analysis.

$Palantir (PLTR.US)$ Provides AI-driven data analytics platforms for government and commercial clients, focusing on large-scale data integration and analysis.

$ServiceTitan (TTAN.US)$ Provides AI-driven software solutions for home service businesses, including scheduling, dispatching, and customer management tools.

$Elastic (ESTC.US)$ Offers open-source AI-powered search and data analytics solutions, enabling organizations to explore and analyze data efficiently.

9. AI in Social Media:
AI to personalize content, detect harmful content, and analyze trends
Applications: Content recommendation, moderation.

$Meta Platforms (META.US)$ Formerly known as Facebook, Meta utilizes AI to enhance user experiences across its platforms, including Facebook, Instagram, and WhatsApp.

$Snap Inc (SNAP.US)$ integrates AI for augmented reality filters, content recommendations, and user engagement analytics.

$Pinterest (PINS.US)$ Pinterest employs AI for image recognition, personalized content curation, and advertising targeting.

$Reddit (RDDT.US)$ utilizes AI for content moderation, personalized recommendations, and community management.

10. AI in E-commerce:
AI for optimizing customer experiences and logistics
Applications: Personalized product recommendations, dynamic pricing.

$Amazon (AMZN.US)$ a global e-commerce leader, Amazon utilizes AI for personalized shopping experiences, inventory management, and dynamic pricing strategies.

$eBay (EBAY.US)$ employs AI to enhance search functionalities, recommend products, and optimize pricing algorithms.

$Walmart (WMT.US)$ integrates AI to improve supply chain logistics, customer service chatbots, and personalized marketing campaigns.

$Etsy Inc (ETSY.US)$ leverages AI for personalized product recommendations and to enhance search capabilities on its marketplace platform.

$Wayfair (W.US)$ utilizes AI to provide personalized shopping experiences, including virtual room planning and product recommendations.

$Shopify (SHOP.US)$ integrates AI to offer personalized shopping experiences, inventory management, and sales forecasting for merchants.

11. AI in Oil and Gas:
AI for predictive maintenance, exploration, and efficiency improvements
Applications: Reservoir analysis, equipment monitoring.

$Exxon Mobil (XOM.US)$ integrates AI to optimize exploration, drilling operations, and predictive maintenance, enhancing efficiency and reducing operational costs.

$Chevron (CVX.US)$ employs AI for reservoir modeling, seismic data analysis, and predictive maintenance, aiming to improve production efficiency and safety.

$ConocoPhillips (COP.US)$ utilizes AI to analyze geological data, optimize drilling operations, and enhance reservoir management strategies.

$Schlumberger (SLB.US)$ offers AI-driven solutions for reservoir characterization, drilling optimization, and production enhancement, serving clients in the oil and gas industry.

$Baker Hughes (BKR.US)$ provides AI-powered technologies for predictive maintenance, equipment monitoring, and operational optimization in the oil and gas sector.

$Halliburton (HAL.US)$ integrates AI to improve drilling efficiency, reservoir management, and predictive maintenance services for oil and gas operations.

$NOV Inc (NOV.US)$ employs AI technologies to enhance drilling operations, equipment performance, and predictive maintenance services.

$TechnipFMC (FTI.US)$ utilizes AI for subsea engineering, project management, and operational optimization in the oil and gas industry.

$Transocean (RIG.US)$ integrates AI to optimize drilling operations, enhance safety protocols, and improve equipment reliability.

$Civeo (CVEO.US)$ utilizes AI to enhance workforce accommodations, logistics, and operational efficiency in remote oil and gas sites.

$Patterson-UTI Energy (PTEN.US)$ integrates AI technologies to optimize drilling operations, improve equipment performance, and enhance safety measures.

$Helix Energy Solutions (HLX.US)$ employs AI for subsea engineering, project management, and operational optimization in the oil and gas industry.

$Northern Oil & Gas (NOG.US)$ utilizes AI for reservoir modeling, production optimization, and predictive maintenance in its oil and gas operations.

$Nauticus Robotics (KITT.US)$ specialises in autonomous systems for the offshore energy industry. The company develops AI-powered, subsea robots designed to improve operations and reduce costs in offshore environments, focusing on tasks such as inspection, maintenance, and data collection. By leveraging advanced robotics and machine learning, Nauticus aims to enhance safety, efficiency, and sustainability in offshore energy production and marine exploration.

12. AI in Road Systems:
AI for traffic management and infrastructure optimization
Applications: Intelligent traffic lights, predictive traffic flow analysis.

$Aurora Innovation (AUR.US)$ develops the Aurora Driver, an AI system designed to convert vehicles into self-driving cars. Their technology aims to improve road safety and efficiency by enabling autonomous driving.

$Samsara (IOT.US)$ offers an Internet-of-Things (IoT) platform that provides AI-powered dashcams and cloud-based software for vehicle fleet and industrial operations management. Their solutions enhance efficiency and safety across various sectors, including transportation.

$Rekor Systems (REKR.US)$ develops roadway intelligence technology, including AI-driven systems for traffic management and infrastructure monitoring. Their solutions assist in optimizing road systems and enhancing safet

13. AI in Business Applications:
AI to enhance business processes and customer interactions
Applications: CRM, sales automation, demand forecasting.

$GoDaddy (GDDY.US)$ has integrated AI into its services, such as the GoDaddy Airo tool, to assist small businesses in enhancing customer engagement and website traffic.

$SoundHound AI (SOUN.US)$ develops voice-based AI products, including a voice assistant for restaurants, enabling businesses to improve customer interactions and operational efficiency.

$Remark Holdings (MARK.US)$ develops and implements AI products and solutions for various industries, including financial, retail, entertainment, education, workplace, and public safety sectors.

$C3.ai (AI.US)$ offers enterprise AI software solutions that enable businesses to accelerate digital transformation and improve operational efficiency.

AI 可以根据其能力和功能进行分类，每个类别旨在执行特定类型的任务。

按能力分类：
1. 狭义AI（弱AI）
设计用于高效执行单一特定任务的AI系统。这些系统无法执行预定义功能以外的任务，也缺乏通用智能。
它的功能：
• 语音助手（Siri，Alexa）
• 安全图像识别
• 推荐系统（Netflix，Amazon）
2. 通用AI（强AI）
AI系统可以执行人类能做的任何智力任务，展示类似人类的认知能力，包括问题解决和学习。
状态：仍处于理论阶段
它将做的事情：
• 无需事先训练即可适应任何环境和任务
• 理解上下文并做出类似人类的决策
3. 超级AI（人工超级智能）
一种假设的未来AI，超越人类在所有领域的智能，包括创造力、问题解决和情感智能。
状态：推测性
它将做的事情：
• 创新新技术
• 解决超出人类能力的复杂全球问题

按功能分类：
1. 反应型机器
仅对特定输入做出响应且缺乏记忆或从过去经验中学习能力的AI系统。
它的功能：
• 实时决策，例如下棋的AI（IBM的Deep Blue）
• 简单的视觉识别任务
2. 有限记忆AI
可以存储过去经验并使用这些经验做出更好的未来决策的AI系统。今天大多数AI应用程序都属于这一类别。
它的功能：
• 自动驾驶汽车（自驾车）
• 随着使用逐步改进的语音助手
3. 心智理论AI
能够理解情感、社会线索和意图的AI系统。目前仍处于研究阶段。
它将做的事情：
• 通过理解用户情感来增强客户服务互动
• 改善人类与机器之间的合作
4. 自我意识AI
一种理论上的AI，具备自我意识和意识。
它将做的事情：
• 做出伦理决策
• 展示真正的情感智能和自我反思

按应用领域分类：
1. 计算机视觉AI：
用于分析和解释图像和视频的AI
应用：面部识别、医学影像、监控
2. 自然语言处理（NLP）：
用于理解、生成和处理人类语言的AI
应用：聊天机器人、语言翻译、情感分析
3. 机器人AI：
用于控制和增强物理机器的AI
应用：工业机器人、无人机、服务机器人
4. 医疗保健AI：
用于诊断、治疗规划和药物发现的AI
应用：AI辅助手术、放射学分析
5. 自动驾驶汽车：
用于自驾技术的AI
应用：汽车、送货无人机、物流车辆
6. 金融中的AI：
用于欺诈检测、交易和财务决策的AI
应用：信用评分、算法交易
7. AI硬件提供商：
提供支持AI工作负载的专业硬件的公司
应用：GPU、AI芯片
8. AI平台和服务：
提供AI工具和服务的云和软件平台
应用：Microsoft Azure AI、AWS AI
9. 社交媒体中的AI：
用于个性化内容、检测有害内容和分析趋势的AI
应用：内容推荐、内容审核
10. 电子商务中的AI：
用于优化客户体验和物流的AI
应用：个性化产品推荐、动态定价
11. 油气领域中的AI：
用于预测性维护、勘探和效率改进的AI
应用：油藏分析、设备监控
12. 道路系统中的AI：
用于交通管理和基础设施优化的AI
应用：智能交通灯、预测性交通流分析
13. 商业应用中的AI：
用于增强商业流程和客户互动的AI
应用：CRM、销售自动化、需求预测

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