Home Backend Development PHP Problem What are the four elements of an artificial intelligence system?

What are the four elements of an artificial intelligence system?

Jul 18, 2020 pm 04:49 PM
AI

The four elements of artificial intelligence systems are: 1. Big data; the intelligence of artificial intelligence is contained in big data. 2. Computing power; provides basic computing power support for artificial intelligence. 3. Algorithm; the fundamental way to realize artificial intelligence and an effective method to mine data intelligence. 4. Scenario; preprocess large amounts of data.

What are the four elements of an artificial intelligence system?

Analysis of four elements of artificial intelligence
Big data:
The intelligence of artificial intelligence is contained in big data.
Computing power:
Computing power provides basic computing power support for artificial intelligence.
Algorithm:
Algorithm is the fundamental way to realize artificial intelligence and an effective method to mine data intelligence.
Scenario:
Big data, computing power, and algorithms are used as input, and only when output in actual scenarios can the actual value be reflected.
Let’s give a very vivid analogy: If we take cooking as our scenario, then big data is equivalent to the ingredients needed for cooking, computing power is equivalent to the gas/electricity/firewood needed for cooking, and the algorithm is equivalent to the cooking method and seasoning.

1) Big Data
In today’s era, big data is generated all the time. Data accumulated from mobile devices, cheap cameras, ubiquitous sensors, and more. These data are in various forms, and most of them are unstructured data. If it needs to be used by artificial intelligence algorithms, a large amount of pre-processing process is required.

2) Computing power
The development of artificial intelligence has put forward higher requirements for computing power. The following is a comparison of the computing capabilities of various chips. Among them, GPU is the most widely used chip in the field of artificial intelligence, ahead of other chips. Both GPU and CPU are good at floating point calculations. Generally speaking, the GPU's ability to do floating point calculations is about 10 times that of the CPU. In addition, the deep learning acceleration framework is optimized on the GPU to once again improve the computing performance of the GPU, which is beneficial to accelerating the calculation of neural networks. For example: cuDNN has customizable data layout, supports flexible dimensional ordering of four-dimensional tensors, strides and sub-regions, used as input and output of all routines. Matrix operations are implemented in the convolution operation of the convolutional neural network, while reducing memory and greatly improving the performance of the neural network.

3) Algorithm
The mainstream algorithms are mainly divided into traditional machine learning algorithms and neural network algorithms. Neural network algorithms have developed rapidly, and in recent years the development of deep learning has reached a climax.

4) Scenarios
Classic application scenarios of artificial intelligence include:
1. User portrait analysis
2. Risks based on credit scores Control
3. Fraud detection
4. Robo-advisor
5. Intelligent review
6. Intelligent customer service robot
7. Machine translation
8. Face recognition

The above is the detailed content of What are the four elements of an artificial intelligence system?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undress AI Tool

Undress AI Tool

Undress images for free

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

ArtGPT

ArtGPT

AI image generator for creative art from text prompts.

Stock Market GPT

Stock Market GPT

AI powered investment research for smarter decisions

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework Jul 25, 2024 am 06:42 AM

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. Aug 01, 2024 pm 09:40 PM

According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year

Iyo One: Part headphone, part audio computer Iyo One: Part headphone, part audio computer Aug 08, 2024 am 01:03 AM

At any time, concentration is a virtue. Author | Editor Tang Yitao | Jing Yu The resurgence of artificial intelligence has given rise to a new wave of hardware innovation. The most popular AIPin has encountered unprecedented negative reviews. Marques Brownlee (MKBHD) called it the worst product he's ever reviewed; The Verge editor David Pierce said he wouldn't recommend anyone buy this device. Its competitor, the RabbitR1, isn't much better. The biggest doubt about this AI device is that it is obviously just an app, but Rabbit has built a $200 piece of hardware. Many people see AI hardware innovation as an opportunity to subvert the smartphone era and devote themselves to it.

SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time Jul 17, 2024 pm 06:37 PM

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

The first fully automated scientific discovery AI system, Transformer author startup Sakana AI launches AI Scientist The first fully automated scientific discovery AI system, Transformer author startup Sakana AI launches AI Scientist Aug 13, 2024 pm 04:43 PM

Editor | ScienceAI A year ago, Llion Jones, the last author of Google's Transformer paper, left to start a business and co-founded the artificial intelligence company SakanaAI with former Google researcher David Ha. SakanaAI claims to create a new basic model based on nature-inspired intelligence! Now, SakanaAI has handed in its answer sheet. SakanaAI announces the launch of AIScientist, the world’s first AI system for automated scientific research and open discovery! From conceiving, writing code, running experiments and summarizing results, to writing entire papers and conducting peer reviews, AIScientist unlocks AI-driven scientific research and acceleration

HyperOS 2.0 debuts with Xiaomi 15, AI is the focus HyperOS 2.0 debuts with Xiaomi 15, AI is the focus Sep 01, 2024 pm 03:39 PM

Recently, news broke that Xiaomi will launch the highly anticipated HyperOS 2.0 version in October. 1.HyperOS2.0 is expected to be released simultaneously with the Xiaomi 15 smartphone. HyperOS 2.0 will significantly enhance AI capabilities, especially in photo and video editing. HyperOS2.0 will bring a more modern and refined user interface (UI), providing smoother, clearer and more beautiful visual effects. The HyperOS 2.0 update also includes a number of user interface improvements, such as enhanced multitasking capabilities, improved notification management, and more home screen customization options. The release of HyperOS 2.0 is not only a demonstration of Xiaomi's technical strength, but also its vision for the future of smartphone operating systems.

NetEase Vice President Panda Zhi: Stimulate the potential of AI and share the dividends of AI with the whole society|Transcript of speech at ChinaJoy Summit Forum NetEase Vice President Panda Zhi: Stimulate the potential of AI and share the dividends of AI with the whole society|Transcript of speech at ChinaJoy Summit Forum Jul 30, 2024 pm 06:47 PM

On July 25, the ChinaJoy Summit Forum CDEC was held at the Kerry Hotel in Pudong, Shanghai. This industry pioneer dialogue centered on how to reshape positioning, seize opportunities, and break through growth bottlenecks in the era of artificial intelligence. At the meeting, NetEase Vice President Pang Pangzhi attended the forum and delivered a keynote speech. Original content As more and more AI technologies come out of the laboratory and officially "go to work", they have become an indispensable new productive force. Pang Dazhi said that the game industry has always been recognized as the best test field for AI technology, and it is also the first to perceive and An outpost adapted to the impact of AI. The industry must further consider how to fully unleash the potential of AI and share AI dividends with more industries and even the whole society. How to activate the potential of “AI + gaming”

C language data structure: the key role of data structures in artificial intelligence C language data structure: the key role of data structures in artificial intelligence Apr 04, 2025 am 10:45 AM

C Language Data Structure: Overview of the Key Role of Data Structure in Artificial Intelligence In the field of artificial intelligence, data structures are crucial to processing large amounts of data. Data structures provide an effective way to organize and manage data, optimize algorithms and improve program efficiency. Common data structures Commonly used data structures in C language include: arrays: a set of consecutively stored data items with the same type. Structure: A data type that organizes different types of data together and gives them a name. Linked List: A linear data structure in which data items are connected together by pointers. Stack: Data structure that follows the last-in first-out (LIFO) principle. Queue: Data structure that follows the first-in first-out (FIFO) principle. Practical case: Adjacent table in graph theory is artificial intelligence

See all articles