Search or ask a question

What are ai tools?

Computer science

Variety (cybernetics)

Artificial intelligence

Best insight from top research papers

AI tools are computer programs or software applications that use artificial intelligence algorithms to perform various tasks. These tools have a wide range of applications, including generating human-like responses in natural language conversations, assisting with language learning, analyzing medical images for diagnosis, providing information and education, assessing symptoms, triaging patients, and aiding in research and data analysis . They can also be used to create videos and presentations, offering features such as converting text-based content into engaging videos, creating animated videos and presentations, and providing design suggestions and content creation assistance . AI tools are powered by deep learning techniques and large amounts of data, allowing them to understand and generate coherent responses, personalize learning experiences, and provide accurate and helpful information . These tools have the potential to revolutionize various fields, including healthcare, by improving accuracy, optimizing workflows, and enhancing patient care .

Answers from top 5 papers

PDF

Open Access

More filters

Papers (5)	Insight
Journal Article•DOI AI Tools Poised to Improve Patient Health Care Leslie Mertz 01 Mar 2022-IEEE Pulse 1 Citations	The paper does not provide a specific definition of AI tools. However, it mentions that AI tools are technologies used to provide early predictions of breast cancer risk, identify which hospital patients should have their vital signs monitored overnight, and swiftly identify rare infant diseases.
Journal Article•DOI AI Tools Poised to Improve Patient Health Care Leslie Mertz 01 Mar 2022-IEEE Pulse 1 Citations	AI tools are technologies that use artificial intelligence to provide early predictions of breast cancer risk, identify which hospital patients should have their vital signs monitored overnight, and swiftly identify rare infant diseases.
Open access•Journal Article•DOI Exploring the Benefits and Challenges of AI-Language Learning Tools Roxana Rebolledo Font de la Vall, Fabián González Araya - Show less +1 more 08 Jan 2023-The International Journal of Social Sciences and Humanities Invention 4 Citations	The paper does not provide a direct definition of AI tools. However, it mentions that AI language learning tools are computer programs or software applications that use artificial intelligence algorithms to help users learn and improve their skills in a foreign language.
Peer Review Exploring the Sector-Specific Influence and Response of AI Tools: A Critical Review Hitesh Mohapatra, Soumya Mishra - Show less +1 more 12 Jul 2023	The paper provides an overview of AI Tool, which is a language model designed to generate human-like responses in natural language conversations.
Open access•Journal Article•DOI Eye of the AI storm: Exploring the impact of AI tools in ophthalmology Dr. MAHESH K M 01 Jun 2023-Indian journal of ophthalmology	Copilot couldn't generate the response. Please try again after some time.

My columns

Related Questions

What is AI Educational Tools?5 answersAI educational tools refer to tools and platforms that utilize artificial intelligence (AI) technology to enhance teaching and learning experiences in the field of education. These tools are designed to improve the accuracy and efficiency of assessments, generate personalized feedback for students, and enable teachers to adapt their teaching strategies to meet the unique needs of each student. They also aim to provide adaptable and flexible platforms for educators with any level of technical experience to incorporate AI into their teaching material. AI-enabled educational tools can personalize the learning process by acting as intelligent assistants for students, answering queries, providing assistance, supporting learning, and offering reinforcement material based on the students' chosen courses. While AI-enabled tools cannot replace classroom teaching entirely, they can complement and enhance the teaching-learning process, potentially reducing the need for direct teacher intervention in the future.

What is generative ai tools?5 answersGenerative AI tools refer to a new class of tools that can produce high-quality artistic media such as visual arts, music, fiction, and video through the use of artificial intelligence techniques. These tools have the potential to fundamentally alter the creative processes by which creators formulate ideas and put them into production. They are not only applicable in the software industry, but also in various sectors of society, including visual arts, literature, and animation. The integration of generative AI tools into art and design education has shown benefits in terms of refining ideas, exploring creativity, and enhancing the ideation process. However, there are also challenges and ethical considerations, such as copyright concerns and the potential replacement of artists. In the field of product design, while generative AI tools have the ability to recognize patterns and generate new content, there are barriers that limit their practical application in real-world industry settings.

When was the boom of AI tools?5 answersThe boom of AI tools occurred during the 3rd AI boom, which started in the 2010s. This boom focused on technologies such as machine learning, deep learning, and genetic algorithms. These tools have been identified as key technologies in the 3rd AI boom, with important application areas including prediction, forecasting, data mining, fault diagnosis, and pattern recognition. The adoption of AI in businesses has been relatively low, but there has been a shift in firms' R&D to focus more on AI applications. Additionally, AI-powered tools for research, particularly those dealing with text-based data, have seen a significant increase in usage since the release of ChatGPT by OpenAI in 2022.

How to build your ai tool?3 answersTo build your AI tool, you can follow these steps. First, understand the concept of AI and its different types, such as strong AI and weak AI. Next, familiarize yourself with the main AI tasks, including machine learning, computer vision, natural language processing, and knowledge mining. Then, explore the AI-related services provided by platforms like Microsoft Azure. Additionally, learn about the AI-TOOLKIT, which supports all major forms of machine learning and allows you to build and use state-of-the-art models without programming. Finally, consider incorporating methods like Case Based Reasoning, Rule-Based Reasoning, and Constraint-Based Geometric Modelling to support the conceptual design of complex objects and products. By following these steps, you can successfully build your own AI tool.

What is ai-learning powered tools?3 answersAI-powered learning tools are computer programs or software applications that utilize artificial intelligence algorithms to assist users in learning and improving their skills in various domains, such as language learning. These tools offer personalized learning experiences, reduce learning time, and introduce learners to different cultures. They have the potential to revolutionize education by providing flexibility, customization, and access to a wide range of resources. AI-powered language learning tools, for example, can enhance linguistic competence by offering personalized and adaptive learning experiences, interactive environments, instant feedback, and access to various language resources. Additionally, AI-powered educational robotics can be used as a motivating learning tool to promote computing education, computer science concepts, and AI education in K-12 students. These tools have the potential to transform the way we learn and prepare individuals for future professions in an AI-enhanced world.

What are the latest ai tools?3 answersThe latest AI tools include ChatGPT, Dall E-2, Bing AI, ChatSonic, Jasper Chat, Google Bard AI, Perplexity AI, GitHub Copilot X, Amazon Codewhisperer, RetinaNet, DeepDR, Ilastik, VGG-16, Optic Disc Segmentation Tool, TensorFlow, TensorFlow.js, PyTorch, OpenCV, Keras, DeepLabCut, MedPy, MXNet, Caffe, SciKit-Learn, DeepGauge, CellProfiler, MXNet GluonCV, Lumen5, Powtoon, Visme, Prezi, SlideBot, Microsoft Office AI, and YouChat. These tools have various applications in ophthalmology, data analysis, content creation, and research. ChatGPT, in particular, has gained significant popularity with millions of users and has been used for information dissemination, symptom assessment, patient triage, and research in ophthalmology. However, it is important to note that the scientific accuracy and reliability of AI-generated content, including ChatGPT, for academic articles is currently insufficient. Guidelines and ethical boundaries need to be established for the use of AI tools in academic writing.

See what other people are reading

Why researchers do evaluation using different model?

Researchers use different evaluation techniques and metrics to assess models for several reasons. One reason is the need to mimic the human mind accurately, which requires selecting the most suitable model. Additionally, the evaluation of causal modeling algorithms in artificial intelligence is often limited by primitive evaluation techniques, creating a gap between theory and practice. Another factor is the social and economic conditions of the country, which influence the evaluation of researchers and their work. Furthermore, model-driven engineering requires appropriate management technologies, including model comparison, which plays a crucial role in various modeling activities. These different evaluation approaches and metrics allow researchers to assess models from various perspectives, consider different algorithmic advancements, and address specific modeling challenges.What is spatial conservation planning?

Spatial conservation planning is a process that aims to define and implement a comprehensive protected area system in a region or at any scale. The goal is to ensure the representation of critical biodiversity components, such as populations, species occurrences, ecosystems, or ecological processes, in protected areas. This involves selecting additional areas for protection using reserve selection algorithms. The implementation of a conservation plan is a primary constraint, as it requires agreement and cooperation from local stakeholders and authorities. Spatial conservation planning involves resolving conflicts between ecology and economy by using analytical models and tools from Operations Research (OR). It requires the integration of large and diverse datasets to address a variety of concerns and challenges. The use of spatial analysis techniques and geographic perspectives is crucial in understanding and quantifying the spatial patterns and processes related to environmental conservation. By prioritizing actions over places and estimating impacts, spatial action mapping can improve the efficiency and effectiveness of conservation efforts. The integration of conservation principles and priorities in marine spatial planning is important for promoting sustainability and biodiversity conservation.How does innovation orientation in an organization affect the organization's culture?

Innovation orientation in an organization positively affects the organization's culture. Highly innovative firms engage in various business practices such as culture management, open innovation, and design thinking, which contribute to the development of an innovative culture. Organizational innovation culture plays a significant role in driving employees' innovation behavior. It has a positive impact on employees' innovation behavior, and this relationship is mediated by innovation self-efficacy. Additionally, organizational identity moderates the relationship between organizational innovation culture and employees' innovation behavior. Edgar Schein's layered model of organizational culture provides a framework for understanding the processes that drive innovation, and the different levels of organizational culture, including values, norms, artifacts, and behaviors, partially mediate the impact of innovation-supporting values on firm performance.In large language model finetuning, what is the difference between DPO and RLHF?

In large language model finetuning, the difference between DPO and RLHF lies in the optimization algorithm used. RLHF, or reinforcement learning from human feedback, is a pivotal technological paradigm that uses reward models and Proximal Policy Optimization (PPO) to optimize policy model outputs. It focuses on aligning the language model with human preferences and improving its step-by-step reasoning capabilities. On the other hand, DPO, or PPO-max, is an advanced version of the PPO algorithm that specifically addresses the challenges of policy constraints in the implementation of PPO. It aims to efficiently improve the training stability of the policy model in RLHF. Therefore, while RLHF encompasses the overall approach of using reinforcement learning with human feedback, DPO is a specific algorithm within RLHF that enhances the training stability of the policy model.What are the trending topics in the news today?

The trending topics in the news today include the role of SIRT1 in different stages of tumorigenesis, the cell structure and energy metabolism of anammox bacteria, the changes in the categorization and diagnostic criteria for psychosis spectrum disorders in ICD-11 and DSM-5, the challenges and developments in software engineering for pervasive Cloud-IoT networks, and the representation of teens and technology in recent films.How machine learning becomes the most method for pv fault detection?

Machine learning has become the most popular method for PV fault detection due to its remarkable achievements in various areas. It offers a dependable and sustainable approach for generating electricity using photovoltaic systems. Traditional monitoring methods for PV systems are laborious, expensive, time-consuming, and prone to error. To address these limitations, deep learning methods have been proposed for the identification and analysis of cracks in PV cells, resulting in accurate and robust segmentation and power analysis. Additionally, machine learning classifier techniques such as Decision Tree, K-Nearest Neighbors, Naive Bayes, and Support Vector Machines have been utilized to diagnose common types of PV array faults with high accuracy. Logistic regression with cross-validation has also been employed as a machine learning technique for fault detection and identification in PV systems, providing satisfactory results with lower computational cost.What are the advantages and disadvantages of EAE as a model for MS?

Experimental autoimmune encephalomyelitis (EAE) is the most widely used model for multiple sclerosis (MS) research. EAE studies have contributed to breakthroughs in understanding MS pathogenesis and discovering therapeutics. EAE models can mimic different clinical manifestations of MS, such as relapsing-remitting MS (RRMS) and primary progressive MS (PPMS). EAE has been instrumental in developing and testing immunomodulatory drugs for MS treatment. However, there are limitations in directly translating EAE findings to human patients, and the heterogeneity of EAE models can make it challenging to translate results to the human disease. Despite these limitations, EAE remains a valuable tool for studying immune-mediated neuroinflammation and demyelination, as well as for exploring potential therapeutic interventions. The combination of rigorous EAE animal studies and well-powered clinical trials will be essential for improving MS patient outcomes and developing novel therapeutics.Islamic Religious Responses to Technological Advances

Islamic religious education recognizes the importance of utilizing technology in teaching and learning processes. Technology serves multiple functions in Islamic education, including evaluation tools, transmission media, and design and planning forums for learning. Islam encourages its people to master science and technology, and the integration of advanced technologies like remote sensing and geographic information systems has many benefits for human life, such as natural resource management. However, there is a recognition that technology can have both positive and negative impacts on moral and spiritual values. It is important for Muslims to have education and awareness of technological ethics to utilize technology for good and not become slaves to it. Islam also provides a positive image of the value of scientific research and innovation in technological development, emphasizing the importance of exploring nature as God's creation. Islamic education appreciates the progress of western science and technology as long as it does not conflict with Islamic values and traditions.How does ChatGPT influence HCI research? ACITIVITY THEORY?

ChatGPT influences HCI research by providing a tool for natural language interactions that can be used to explore the emotional impact of using ChatGPT, the absence of accountability and consideration of future implications in design, and questions around bias from a Global South perspective. It also offers efficient and accessible information analysis and synthesis, which can improve software engineering (SE) research practices. Additionally, ChatGPT's capabilities have been assessed in terms of performance, evaluation criteria, robustness, and error types, revealing its strengths and limitations in various tasks. Furthermore, ChatGPT has the potential to enhance graph neural networks for inferring dynamic network structures from temporal textual data, particularly in the financial sector. Overall, ChatGPT's impact on HCI research spans emotional experiences, ethical considerations, SE research practices, and the potential for network inference in various domains.What are the causes of falling birth rate in japan?

The causes of the falling birth rate in Japan include factors such as low income and women's social advancement not significantly impacting fertility decline. The COVID-19 pandemic, particularly its related adverse economic conditions, has also contributed to Japan's current baby bust. Additionally, the nature of Japan's socio-economic development after 1945, including significant industrial urbanization and a traditional family-centered social organization, has played a role in reducing fertility rates. These factors, along with the postponement of childbearing due to declining income and anxiety about future household finances, have led to a decrease in fertility rates and the potential long-term consequence of further population decline. The declining birth rate in Japan is a complex issue influenced by various economic, social, and demographic factors.What are the different skin types?

There are four different skin types: normal skin, oily skin, dry skin, and combination skin. Skin types can also be categorized based on factors such as epidermal thickness, pigmentation, and presence of hair follicles, resulting in volar (palmoplantar) and non-volar (dorsal) skin types. Skin of color refers to non-Caucasian skin types, which comprise skin types III-VI according to Fitzpatricks' classification. The Baumann Skin Type Indicator (BSTI) introduces four parameters to more accurately characterize skin types: dry or oily, sensitive or resistant, pigmented or nonpigmented, and wrinkled or unwrinkled. By evaluating these parameters, consumers can identify the most suitable topical treatments for their skin.