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Book ChapterDOI
29 Oct 2012
26 Citations
Despite their enormous potential, robots will not be accepted in society unless they exhibit social intelligence skills.
Journal ArticleDOI
01 Feb 1984-Futures
28 Citations
Progress in artificial intelligence (AI) is expected in a variety of areas over the next decade.
By 2030, Artificial Intelligence is likely to have spread into almost all the fields - Ubiquitous.
Artificial Intelligence is, no doubt, a boon to the society.
This is followed by a consideration of the many recently launched companion robots, and the paper concludes with a discussion of the likely impact on the domestic robot market.,This paper shows that domestic robots have benefited from developments in artificial intelligence, sensor technology and connectivity, which have led to greater versatility and enhanced ease of use.
The current revolution in robotic technologies, coupled with the developments in artificial intelligence, suggests that the creation of self‐reflective robots capable of semi‐independent thought (processes) is not too far away.
, – This shows that many AI concepts are being applied to humanoid, mobile and other classes of robots.
Open accessJournal ArticleDOI
213 Citations
Artificial Intelligence must have a central role in Robotics if the connection is to be intelligent.
In this sense, the name artificial " intelligence " can be misleading.
However, there are clearly many research challenges remaining until we can experience intelligent mobile robots that are fully functional and capable in our human environments.
Some see the field of AI as being all-inclusive, while others argue that there is nothing artificial about real intelligence as exhibited by higher mammals.
Although this research does not provide association and validity of the classifications, it is meaningful enough considering there are very few researches on taxonomies of robot with artificial intelligence.
Journal ArticleDOI
B. Chandrasekaran, Larry H. Reeker 
01 Jan 1974
12 Citations
We believe agnosticism concerning the possibility of artificial intelligence to be a position held by many computer scientists.
Using a prospective approach and taking into consideration the views of scholars who are specialised in analysing robotics and artificial intelligence, this paper proposes that Parliament’s recommendations could go further by addressing a much broader spectrum of artificial agents and artificial intelligence, instead of focusing on specific categories of robots.

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What is the name of the phenomenon that LLM keeps outputting the same sentence repeatedly and does not stop?
4 answers
The phenomenon where a Large Language Model (LLM) repeatedly outputs the same sentence without stopping is known as Self-Consistency. This approach involves polling the LLM multiple times and then outputting the most frequent solution to improve the correctness of its output. However, a more efficient technique called Adaptive-Consistency has been introduced, which dynamically adjusts the number of samples per question based on the agreement in the samples drawn, reducing the sample budget significantly while maintaining high accuracy. This issue of repetitive output is part of the broader discussion on the robustness and consistency of LLMs, highlighting concerns about their behavior and potential risks associated with their deployment.
How to resolve a situation where the LLM does not finish outputting the same answer repeatedly.?
4 answers
To address the scenario where a Large Language Model (LLM) fails to consistently output the same answer, one effective solution is to implement Adaptive-Consistency techniques. These techniques dynamically adjust the number of samples per question based on the level of agreement among the responses obtained, optimizing the output accuracy while reducing the sample budget by up to 6 times. Additionally, leveraging prompt engineering and self-evaluating optimization mechanisms can further enhance the quality of LLM responses without relying on auxiliary models. By combining these approaches, LLMs can achieve more consistent and accurate outputs, mitigating the issue of varying responses and improving overall performance.
How many T2D is treated with insuline in france?
5 answers
In France, the prevalence of treated diabetes is estimated to be around 4.6%, with over 3 million individuals affected by the condition. Among these individuals, there are specific subgroups based on treatment regimens. For instance, in a study focusing on older individuals with type 2 diabetes (T2DM) on intensive insulin therapy, it was found that starting the FreeStyle Libre® system led to a reduction in hospitalizations for acute diabetes events, indicating a vulnerable population benefiting from such interventions. Additionally, another study highlighted the impact of initiating the FreeStyle Libre® system on hospitalizations for acute diabetes events in people with T2DM on basal insulin therapy, showing significant reductions in severe hypoglycemia and diabetic ketoacidosis rates. These studies collectively shed light on the management and outcomes of T2DM treatment with insulin in France.
How to generate test code automatically?
4 answers
To automatically generate test code, a novel approach called CodeT leverages pre-trained language models to produce diverse code samples and then automatically generates test cases for these samples, reducing human effort and enhancing test scenario coverage. CodeT executes the code samples using the generated test cases and performs a dual execution agreement to assess the outputs against the test cases and other code samples, significantly improving code solution selection performance. Additionally, a proposed CodeGen-Test model incorporates program testing steps and information to iteratively generate code meeting functional requirements, enhancing code quality by focusing on program functional requirements and introducing a new evaluation metric, Test-Acc, to evaluate passing program tests in generated code.
What are the different types of Artificial intelligence applications?
5 answers
Different types of Artificial Intelligence (AI) applications include those in industries like manufacturing, logistics, finance, healthcare, marketing management, and automotive machines. AI applications range from automating decision-making processes, improving precision in predictions, identifying product flaws, enhancing delivery routes, to managing data at various scales. AI can be classified into reactive machines, limited memory, theory of mind, and self-awareness based on their unique philosophies and purposes. Additionally, AI applications encompass machine learning (ML) and deep learning (DL) in various sectors like aerospace, defense, medical, and industrial automation. The future of AI is expected to further develop, surpassing human capabilities in understanding and problem-solving, impacting fields such as finance, drug development, and engineering.
What is the effectiveness of video-based tutorials in teaching bread and pastry baking skills?
5 answers
The effectiveness of video-based tutorials in teaching bread and pastry baking skills has been widely studied in vocational education. Research has shown that competency-based video materials significantly improve students' performance in culinary courses, with students scoring excellently in written examinations and practicum assessments. Additionally, the use of animated videos for patisserie learning has been designed to provide clear explanations and steps for practicing pastry and bakery skills, enhancing learning outside the classroom setting. Furthermore, the development of video tutorial learning media for restaurant management courses has been found to be highly effective, with validation scores indicating its suitability for the learning process. Overall, instructional video clips have been proven effective in sweet bread production training, showing significant learning improvement and effectiveness in the posttest scores.
What is the effectiveness of video-based tutorials in teaching bread and pastry baking skills? Preference?
5 answers
The effectiveness of video-based tutorials in teaching bread and pastry baking skills has been widely studied in vocational education. Research has shown that competency-based video materials significantly improve students' performance in practical skills. Additionally, the use of animated videos for patisserie learning has been designed to enhance vocational education by providing clear explanations and steps for pastry and bakery practices. Furthermore, the development of video tutorial learning media for restaurant management courses has been found to be highly effective and feasible for enhancing the learning process in culinary arts education. Moreover, instructional video clips have been proven to be effective in training sweet bread production, leading to significant learning improvements among participants. Overall, the integration of video-based tutorials in teaching bakery and pastry skills has shown promising results in enhancing students' learning experiences and skill development.
Document level Machine Translation (DOCNMT)
5 answers
Document-level Machine Translation (DOCNMT) is a crucial area in the field of Neural Machine Translation (NMT). DOCNMT aims to enhance translation consistency, resolve ambiguities, and capture document-level information like conversation topics or styles. While increasing context size in DOCNMT can lead to memory challenges and translation performance degradation, a proposed constrained attention variant addresses these issues effectively. Research emphasizes the importance of utilizing context-aware translation models in decoding to improve translation quality. By comparing different decoding schemes and leveraging high-quality context information, DOCNMT models can produce more consistent outputs across documents and better resolve input ambiguities. Overall, DOCNMT plays a vital role in advancing NMT technologies by incorporating document-level context for more accurate and cohesive translations.
How does machine learning optimize pay-per-click (PPC) advertising campaigns?
5 answers
Machine learning optimizes pay-per-click (PPC) advertising campaigns by predicting Click-Through Rates (CTR) to enhance ad performance and revenue generation. Various machine learning models, such as logistic regression, support vector machines, LSTM-GA, and UCB-LSTM-GA, are utilized to accurately forecast user ad click behavior on online platforms. These models help in targeting the right audience, refining ad copy, and improving overall campaign effectiveness by analyzing factors like user behaviors, ad content, and target demographics. By leveraging machine learning algorithms, businesses can optimize their PPC campaigns in real-time bidding scenarios, enhance keyword relevance, and mitigate budget losses, ultimately leading to improved ROI and competitiveness in the digital advertising landscape.
How does the reputation of the supplier affect the quality of buyers?
5 answers
The reputation of a supplier significantly impacts the quality of buyers in various ways. Supplier reputation plays a crucial role in reducing Quality of Service (QoS) loss, enhancing time efficiency, and improving supplier cooperation. In public procurement, reputation is a vital factor influencing supplier selection, affecting trust-building between procurers and suppliers, and ultimately impacting procurement efficiency. Moreover, in a dynamic Stackelberg game model, a buyer's reputation is closely tied to how it manages the risk of reduced sales due to supplier misconduct, highlighting the strategic importance of maintaining supplier integrity. Additionally, in online marketplaces, seller reputation, built through buyer feedback, is essential for fostering trust, with high-quality products being rewarded for truthful feedback to signal their quality. Overall, supplier reputation plays a critical role in shaping buyer decisions, trust, and operational efficiency across various industries.
What are the key functions of the nervous system in regulating human behavior?
4 answers
The nervous system plays a crucial role in regulating human behavior by controlling various functions essential for survival and well-being. It oversees cognitive, motor, and sensory systems, as well as basic life-sustaining functions like cardiovascular, respiratory, and gastrointestinal activities. Additionally, the nervous system is involved in sexual behavior through complex interactions of the somatic and autonomic nervous systems, with the central nervous system orchestrating sexual responses. Emotions and language also significantly impact functional regulation, enabling human coexistence and response to stimuli. Furthermore, neurotransmitters released by neurons influence behavior by communicating within the brain and with other cells in the body. Overall, the nervous system's functions encompass a wide range of activities crucial for human behavior and well-being.