12 research outputs found

    Towards A Measure Of General Machine Intelligence

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    To build general-purpose artificial intelligence systems that can deal with unknown variables across unknown domains, we need benchmarks that measure how well these systems perform on tasks they have never seen before. A prerequisite for this is a measure of a task's generalization difficulty, or how dissimilar it is from the system's prior knowledge and experience. If the skill of an intelligence system in a particular domain is defined as it's ability to consistently generate a set of instructions (or programs) to solve tasks in that domain, current benchmarks do not quantitatively measure the efficiency of acquiring new skills, making it possible to brute-force skill acquisition by training with unlimited amounts of data and compute power. With this in mind, we first propose a common language of instruction, a programming language that allows the expression of programs in the form of directed acyclic graphs across a wide variety of real-world domains and computing platforms. Using programs generated in this language, we demonstrate a match-based method to both score performance and calculate the generalization difficulty of any given set of tasks. We use these to define a numeric benchmark called the generalization index, or the g-index, to measure and compare the skill-acquisition efficiency of any intelligence system on a set of real-world tasks. Finally, we evaluate the suitability of some well-known models as general intelligence systems by calculating their g-index scores.Comment: 31 pages, 15 Figures, 3 Tables; Sample Data and g-index Reference Code at https://github.com/mayahq/g-index-benchmark; g-index toy environment at https://github.com/mayahq/flatland; version 2 added a section about the toy environment; version 3 compressed images to reduce file size; version 4 updated description of flatland toy environmen

    Innovative investigation of zinc oxide nanoparticles used in dentistry

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    Dental caries is a major lifestyle concern as dental components affect the face of an individual. The issue of tooth decay occurs in every age group throughout the globe. Researchers are probing incipient implements and techniques to develop filling agents for decayed teeth. Zinc oxide (ZnO) powder is utilized mostly as a filling agent. Nanotechnology enhanced the efficiency of compounds of metal oxides utilized for dental caries. The present study aims to investigate the properties of ZnO nanoparticles (NPs) synthesized chemically (using ZnCl2 and NaOH) as well as biologically (using aqueous leaf extract of Murraya paniculata). The XRD patterns confirm that ZnO NPs have a hexagonal crystalline structure with particle sizes of 47 nm and 55 nm for chemically and biologically synthesized NPs, respectively. The FE-SEM data confirm the nanorod and spherical/cubical shape morphologies for the chemically and biologically synthesized ZnO NPs, respectively. FTIR data show the peaks between 4000 and 450 cm(-1) of the functional groups of -OH, C-O, -C-H-, and Zn-O bonds. The UV-Vis absorption study indicates a peak around 370 nm and a hump around 360 nm corresponding to the chemically and biologically synthesized ZnO NPs, respectively. An antibacterial bioassay was performed and compared with commercially available ZnO bulk powder against tooth decaying pathogens, viz., Streptococcus mutans, Staphylococcus aureus, E. coli, and Lactobacillus fermentum, and found that both ZnO NPs had results closer to those of the standard drug (rifampicin). Thus, the synthesized ZnO NPs may be utilized as nano-drugs for the application of tooth decaying filling agents. Even biologically synthesized ZnO NPs may be considered more environmentally friendly and less toxic to human health concerns.UGC, New DelhiUniversity Grants Commission, UGC; University of Lucknow, L

    Interactions between Type 1 Interferons and the Th17 Response in Tuberculosis: Lessons Learned from Autoimmune Diseases

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    textabstractThe classical paradigm of tuberculosis (TB) immunity, with a central protective role for Th1 responses and IFN-γ-stimulated cellular responses, has been challenged by unsatisfactory results of vaccine strategies aimed at enhancing Th1 immunity. Moreover, preclinical TB models have shown that increasing IFN-γ responses in the lungs is more damaging to the host than to the pathogen. Type 1 interferon signaling and altered Th17 responses have also been associated with active TB, but their functional roles in TB pathogenesis remain to be established. These two host responses have been studied in more detail in autoimmune diseases (AID) and show functional interactions that are of potential interest in TB immunity. In this review, we first identify the role of type 1 interferons and Th17 immunity in TB, followed by an overview of interactions between these responses observed in systemic AID. We discuss (i) the effects of GM-CSF-secreting Th17.1 cells and type 1 interferons on CCR2+ monocytes; (ii) convergence of IL-17 and type 1 interferon signaling on stimulating B-cell activating factor production and the central role of neutrophils in this process; and (iii) synergy between IL-17 and type 1 interferons in the generation and function of tertiary lymphoid structures and the associated follicular helper T-cell responses. Evaluation of these autoimmune-related pathways in TB pathogenesis provides a new perspective on recent developments in TB research

    Chemical composition and antimicrobial activity of the essential oils of <i style="">Senecio rufinervis</i> DC. (Asteraceae)

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    44-47The chemical composition of the essential oil obtained from the leaves and roots of Senecio rufinervis DC. was analyzed by GC, GC/MS and NMR. Germacrene D was the major constituent in both the oils studied (40.19 and 24.95%, respectively). The antimicrobial activity of the oil was determined by disc diffusion method. Results showed that both the oils exhibited significant antibacterial activity

    KNOWLEDGE AND ATTITUDES RELATED TO HIV/AIDS AMONG MEDICAL AND ALLIED HEALTH SCIENCES STUDENTS

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    Background: India estimates third highest number of HIV infections in the world, with about 2.4 million people currently living with HIV/AIDS. Adequately trained and sensitized healthcare professionals can play a vital role in combating this epidemic. Limited studies have explored knowledge and attitudes of medical students relating to HIV/AIDS, particularly in the eastern part of India. Methods: The present cross sectional study explored knowledge and attitudes of first year MBBS, BDS & BPT students of Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, Odisha on HIV/AIDS using a self-administered questionnaire. Data thus collected were analyzedand relevant statistics were calculated. Knowledge and attitude scores were determined and analysis of variance (ANOVA) test was used to examine the equality between the groups. Results: All students scored low on the overall knowledge scale (<10/15). Specifically, knowledgewas low on modes of transmission and treatment. Attitudinal scores in the areas of precautions and need for training on HIV was low for all the three streams.The willingness to treat HIV/AIDS patient was found to be high amongst study participants. Conclusion: There is a need and scope to provide correct and detailed information on HIV/AIDS for new entrants in medical and allied health sciences to help them acquire adequate knowledge and develop appropriate attitudes towards HIV/AIDS

    Influence of Genetic Polymorphism Towards Pulmonary Tuberculosis Susceptibility

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