Found a total of 2092 related content
EU releases draft artificial intelligence regulations
Article Introduction:In most cases, AI systems in the limited or lowest risk categories will be able to operate as before, and the EU is legislating specifically to deal with AI systems that could compromise the safety or privacy of EU citizens. The European Union has released draft legislation on the regulation of artificial intelligence, which will become a key framework for artificial intelligence suppliers and distributors to develop markets in the EU. In the legislation, the EU classifies AI systems into three risk categories: unacceptable risk, high risk, and limited or minimal risk. In most cases, AI systems in the limited or minimum risk category will be able to operate as before, with EU legislation specifically dealing with AI systems that could compromise the safety or privacy of EU citizens. European Commission President Ursula Gertrude von der Leyen (U
2023-04-12comment 0626
Europe's new artificial intelligence bill will strengthen ethical review
Article Introduction:AI ethics issues such as bias, transparency and explainability are becoming increasingly important as the EU moves towards implementing the AI Bill, which will effectively regulate the use of AI and machine learning technologies across all industries. AI experts say this is a good time for AI users to familiarize themselves with ethical concepts. Europe’s latest version of the Artificial Intelligence Act, introduced last year, is moving quickly through the review process and could be implemented as early as 2023. While the law is still being developed, the European Commission appears ready to make strides in regulating artificial intelligence. For example, the law will set new requirements for the use of AI systems and prohibit certain use cases entirely. So-called high-risk AI systems, such as those used in self-driving cars and education
2023-04-09comment 0695
EU's AI bill: Will regulation hinder innovation?
Article Introduction:Open source AI regulations are mentioned in the Artificial Intelligence Act (AIA), which is currently being discussed in the EU. However, severely restricting the use, sharing, and distribution of general open source AI (GPAI) may be viewed as a step backwards. Free exchange of open source information licenses, such as the MIT license, are designed to share knowledge and concepts, not to retail finished, proven merchandise. Expanding the legal obligations on open source GPAI researchers and developers will only hinder technological innovation and development. The EU Artificial Intelligence Act (AIA) currently under discussion mentions the regulation of open source artificial intelligence. However, imposing strict restrictions on the use, sharing, and distribution of open source general artificial intelligence (GPAI) can be considered a step backwards. EU Artificial Intelligence
2023-04-12comment 0953
EU Artificial Intelligence Bill: Companies face challenges with strict rules and high fines
Article Introduction:Recently, the EU has been advancing the long-controversial EU Artificial Intelligence Act and has set up safeguards for the use of artificial intelligence. In a sign that regulation is coming and businesses need to prepare, members of the European Parliament and Council recently reached a tentative agreement on an EU Artificial Intelligence Bill that would regulate artificial intelligence based on risk and impact levels. Under the agreement, the EU's Artificial Intelligence Act will prohibit certain AI applications, but will have exemptions for law enforcement purposes. It will also set out obligations for AI systems classified as high risk and implement transparency requirements for generative AI. The EU Artificial Intelligence Bill has not yet become law as it still needs to be passed by Parliament and the Council. However, as proposed, this is the most comprehensive surveillance of artificial intelligence to date.
2023-12-15comment 0568
European artificial intelligence bill is about to be introduced, which may affect global technology regulation
Article Introduction:The Artificial Intelligence Bill aims to create a common regulatory and legal framework for the use of artificial intelligence, including how it is developed, what companies can use it for, and the legal consequences of not complying with the requirements. The bill could require companies to obtain approval in certain circumstances before adopting artificial intelligence, outlaw certain uses of artificial intelligence deemed too risky, and create a public list of other high-risk uses of artificial intelligence. In an official report on the law, the European Commission said that at a broad level, the law seeks to codify the EU's trustworthy AI paradigm. This paradigm “requires AI to be legally, ethically and technologically strong while respecting democratic values, human
2023-04-11comment 0806
Explore compelling use cases of Python in artificial intelligence
Article Introduction:Explore Python’s compelling application cases in artificial intelligence. Artificial intelligence (AI), as a hot topic in today’s technology field, has attracted widespread attention and research. As a simple, easy-to-use and powerful programming language, Python is widely used in the development of artificial intelligence. This article will mainly explore some compelling application cases of Python in artificial intelligence and provide corresponding code examples. 1. Natural language processing (Natur
2023-09-09comment 0462
Application cases of PhpFastCache in artificial intelligence projects
Article Introduction:Application cases of PhpFastCache in artificial intelligence projects Artificial Intelligence (Artificial Intelligence) is one of the rapidly developing hot spots in the field of modern technology. It covers many subfields such as machine learning, natural language processing, and computer vision. In artificial intelligence projects, data processing and storage are very critical links. As an efficient caching system, PhpFastCache can significantly improve the efficiency and performance of artificial intelligence projects. PhpFastCac
2023-07-07comment 0378
How AI solutions can help businesses grow
Article Introduction:How can enterprises use artificial intelligence solutions to improve efficiency and streamline processes? With the development of artificial intelligence solutions, more and more enterprises are adopting new strategies to better meet customer needs and improve operational performance and financial results. This article will introduce some common AI-driven solution use cases, such as natural language processing (NLP), cognitive computing, machine learning (ML), and data analytics, and describe their potential benefits to the enterprise. Explore the potential of AI solutions as As technology continues to advance, companies are always looking for innovative ways to develop and remain competitive. Artificial intelligence solutions have become one of the most promising ways to achieve this goal, due to their ability to streamline processes, improve decision-making, and enhance customer experience. By leveraging machine learning, natural language
2023-10-31comment 01081
Quality engineering design in artificial intelligence platform solutions
Article Introduction:Translator | Reviewed by Zhu Xianzhong | Sun Shujuan Introduction We are in the golden age of artificial intelligence. The adoption of artificial intelligence solutions makes enterprises more creative, competitive and responsive. The software-as-a-service (SaaS) model, coupled with the advancement of cloud technology, has made the software production and consumption process more and more mature. It is a universal fact that most organizations prefer to “buy” off-the-shelf AI technology rather than “build” their own. Therefore, SaaS providers, such as Salesforce, SAP, Oracle, etc., have successively introduced artificial intelligence platform functions and built artificial intelligence as a service (AI-as-a-Service, AI
2023-04-09comment 0817
How can artificial intelligence solutions help businesses grow?
Article Introduction:How are businesses using AI solutions to improve efficiency and streamline processes? As artificial intelligence solutions develop, more and more businesses are adopting new strategies to better meet customer needs and improve operational performance and financial results. This article will introduce common use cases for AI-driven solutions, such as natural language processing, cognitive computing, machine learning, and data analytics, and describe their potential benefits to businesses. Explore the potential of AI solutions as technology continues to advance. Businesses are always looking for innovative ways to grow and stay competitive. Artificial intelligence solutions have emerged as one of the most promising ways to achieve this goal, as they streamline processes, improve decision-making, and enhance customer experience. By leveraging machine learning, natural language processing, and data analytics, among others
2023-10-31comment 0289
Artificial Intelligence Basics: Artificial Intelligence Cloud Service (Alaas)
Article Introduction:1. Concept introduction Artificial intelligence cloud service (AI as a Service) is the current mainstream artificial intelligence platform service method. It accurately divides several common artificial intelligence services and provides individual or packaged services through the cloud. The model is similar to the blog in WordPress. There are many online plug-ins. Users can download and install the blog plug-ins they need for free or for a fee according to their needs. Common domestic cases include Alibaba Cloud, Huawei Cloud, Tencent Cloud, and Baidu Cloud, all of which have their own artificial intelligence service platforms. 2. What problems does artificial intelligence cloud service solve? Cloud services are deployed in the cloud and are not private deployment methods. It mainly solves the following problems: 2.1 Saving deployment costs Traditionally
2023-04-12comment 01184
How to distinguish scientific artificial intelligence from pseudoscientific artificial intelligence
Article Introduction:As artificial intelligence continues to evolve, researchers work to improve its capabilities and ensure that it operates ethically and responsibly in various fields. In the rapidly evolving field of artificial intelligence, a key distinction is often overlooked—the difference between scientific rigor and pseudoscientific hype. Approaches based on unstable foundations become crucial. This article will delve into the fields of “scientific AI” and “pseudo-scientific AI” and reveal what distinguishes them Scientific AI: Based on evidence and rigor Scientific AI is demonstrated through systematic investigation, empirical evidence, and reliable verification . This approach is based on established scientific methods, emphasizing hypothesis testing, experimentation, and peer
2023-08-22comment 01047
Data Security in Artificial Intelligence: How to Unleash the Power of Artificial Intelligence
Article Introduction:In the digital age, data is often viewed as the battery that powers the innovation machine and drives business decisions. With the rise of modern solutions like artificial intelligence (AI) and machine learning (ML), organizations have access to vast amounts of data, enough to gain valuable insights and make informed decisions. However, this comes at the cost of subsequent data loss and confidentiality challenges. As organizations continue to grasp the potential of artificial intelligence, they must strike a balance between achieving business advancements while avoiding potential risks. This article focuses on the importance of data security in artificial intelligence and what security measures organizations can take to avoid risks while taking advantage of the viable solutions provided by artificial intelligence. In artificial intelligence, data security is crucial. Organizations need to ensure data used is legal
2024-04-24comment 0410
Top 10 human skills that artificial intelligence cannot replace
Article Introduction:In a world where jobs are being replaced by artificial intelligence (AI), don’t miss these human skills that AI can’t replace. The expansion of artificial intelligence has made human jobs easier, especially with the emergence of ChatGPT and GPT-4, many jobs and skills have been replaced by artificial intelligence. But there are also human skills that artificial intelligence cannot replace. The article mentioned the top ten human skills that artificial intelligence cannot replace. 1. Critical thinking Critical thinking is a skill that will never be replaced by artificial intelligence. While machines are great at evaluating data, they lack the ability of humans to think critically. This is a talent that is in demand in many fields, including business, law and medicine. 2. Emotional intelligence Another ability that will not be replaced by artificial intelligence is emotional intelligence. at
2023-05-26comment 0760
Why are so many people angry about New York's AI hiring law?
Article Introduction:Last week, a law on artificial intelligence and hiring took effect in New York City, and the vast majority of people were outraged. This is one of the first AI laws in the United States, so the way it is implemented will provide lessons for how AI policy and debate unfold in other cities. The AI hiring regulations are part of Europe's Artificial Intelligence Act, and other U.S. states are considering bills similar to New York's. The use of artificial intelligence in recruitment has been criticized for the way it automates and reinforces existing racial and gender biases. Artificial intelligence systems that evaluate candidates’ facial expressions and language have been shown to prioritize white, male and able-bodied candidates. This is a noteworthy question because many companies have used AI at least once in their hiring process. American equality
2023-07-21comment 0921
The future of artificial intelligence: general artificial intelligence
Article Introduction:To gain a true understanding of artificial intelligence, researchers should turn their attention to developing a basic, underlying AGI technology that can replicate human understanding of the environment. Industry giants like Google, Microsoft, and Facebook, research labs like Elon Musk’s OpenAI, and even platforms like SingularityNET are all betting on artificial general intelligence (AGI)—the ability of intelligent agents to understand or learn any intellectual task that humans cannot accomplish, which represents the future of artificial intelligence technology. Somewhat surprisingly, however, none of these companies are focused on developing a basic, underlying AGI technology that replicates human contextual understanding. This may explain why
2023-04-14comment 01314
Explore EU agreement on artificial intelligence regulation
Article Introduction:After three days of "marathon" negotiations, the Council President and negotiators have just reached an agreement on artificial intelligence coordination rules, which is expected to eventually become the "Artificial Intelligence Bill for Artificial Intelligence Regulation." The draft regulation focuses on providing a compliance framework that prioritizes the deployment of safe and human rights-respecting AI systems in the EU. This artificial intelligence regulation goes beyond inspiring European countries to invest and innovate in the field of artificial intelligence. The Artificial Intelligence Bill is landmark legislation that creates an enabling environment in which the use of artificial intelligence becomes a better tool for security and trust, ensuring public security across the EU. and private sector stakeholder engagement. The main idea is that artificial intelligence will cause harm to society based on
2024-05-07comment784
Yuankuang participated in the Artificial Intelligence Summit Forum to promote the implementation of artificial intelligence education solutions in thousands of schools
Article Introduction:Recently, the 2023 China Artificial Intelligence (Ningbo) Summit Forum was held in Ningbo, Zhejiang. As a pioneer in the field of artificial intelligence education, Yuankuang participated in the "Mathematical Intelligence Education, Science and Technology Creating the Future" smart education theme sub-forum, showing their exploration and latest application results in campus artificial intelligence education. At present, Yuankuo's campus artificial intelligence innovative education overall solution has been implemented in more than 1,000 primary and secondary schools across the country. In recent years, my country has been actively promoting programming education and related talent training in primary and secondary schools. In 2017, the State Council issued the "New Generation Artificial Intelligence Development Plan", which listed artificial intelligence as a national strategy and proposed guidelines for "gradually incorporating programming subjects into primary and secondary schools." In May 2022, "Compulsory Education Information Section"
2023-08-10comment 01030
Artificial intelligence revolutionizes transportation: smart solutions revolutionize transportation
Article Introduction:The transportation industry is being reshaped by artificial intelligence (AI), which is one example among industries around the world. Advances in AI are enabling smarter, more efficient transportation systems, from self-driving vehicles to traffic management solutions, Transforming the way people and goods move Applications of artificial intelligence are redefining the transportation landscape and providing innovative solutions to long-standing challenges. From self-driving vehicles and traffic management systems, to enhanced public transportation and smart logistics, artificial intelligence is revolutionizing transportation in unprecedented ways. As we embrace these AI-driven advances, the transportation industry will usher in a new era of efficiency, safety, and sustainability, benefiting commuters, businesses, and society as a whole. This article discusses the impact of artificial intelligence on transportation.
2023-08-03comment 0715
Artificial Intelligence is driving a revolution in remote patient care
Article Introduction:The pandemic has accelerated advances in artificial intelligence (AI) in remote patient care. More and more doctors are using digital patient monitoring to track health data, identify abnormalities, and provide treatments that no longer need to be done face-to-face. Additionally, emergency departments are adopting remote monitoring solutions so some patients can leave the hospital faster. These transformative technologies are leading to better treatments for patients and lowering healthcare costs. Application status of artificial intelligence in the medical field The application cases of artificial intelligence in the medical field are constantly increasing, mainly due to the continuous learning and training of various algorithms, making the technology more intelligent and the patient experience improved. Most applications of artificial intelligence in the medical field use "augmented intelligence", which integrates the output of algorithms into
2023-04-09comment 0723