Stanford University finds that AI is outpacing Moore’s Law – Every three months, the speed of artificial intelligence computation doubles, according to Stanford University’s 2019 AI Index report

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Stanford University finds that AI is outpacing Moore’s Law

Every three months, the speed of artificial intelligence computation doubles, according to Stanford University’s 2019 AI Index report

Cliff Saran

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Published: 12 Dec 2019 9:56

Stanford University’s AI Index 2019 annual report has found that the speed of artificial intelligence (AI) is outpacing Moore’s Law.DOWNLOAD THIS FREE GUIDE

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Moore’s Law maps out how processor speeds double every 18 months to two years, which means application developers can expect a doubling in application performance for the same hardware cost.

But the Stanford report, produced in partnership with McKinsey & Company, Google, PwC, OpenAI, Genpact and AI21Labs, found that AI computational power is accelerating faster than traditional processor development. “Prior to 2012, AI results closely tracked Moore’s Law, with compute doubling every two years.,” the report said. “Post-2012, compute has been doubling every 3.4 months.”

The study looked at how AI algorithms have improved over time, by tracking the progress of the ImageNet image identification program. Given that image classification methods are largely based on supervised machine learning techniques, the report’s authors looked at how long it takes to train an AI model and associated costs, which they said represents a measurement of the maturity of AI development infrastructure, reflecting advances in software and hardware.

Their research found that over 18 months, the time required to train a network on cloud infrastructure for supervised image recognition fell from about three hours in October 2017 to about 88 seconds in July 2019. The report noted that data on ImageNet training time on private cloud instances was in line with the public cloud AI training time improvements.

The report’s authors used the ResNet image classification model to assess how long it takes algorithms to achieve a high level of accuracy. In October 2017, 13 days of training time were required to reach just above 93% accuracy. The report found that training an AI-based image classification over 13 days to achieve 93% accuracy would have cost about $2,323 in 2017.

The study reported that the latest benchmark available on Stanford DAWNBench , using a cloud TPU on GCP to run the ResNet model to attain image classification accuracy slightly above 93% accuracy, cost just over $12 in September 2018.

Read more about artificial intelligence

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The report also explored how far computer vision had progressed, looking at innovative algorithms that push the limits of automatic activity understanding, which can recognise human actions and activities from videos using the ActivityNet Challenge.

One of the tasks in this challenge, called Temporal Activity Localisation, uses a long video sequences that depict more than one activity, and the algorithm is asked to find a given activity. Today, algorithms can accurately recognise hundreds of complex human activities in real time, but the report found that much more work is needed.

“After organising the International Activity Recognition Challenge (ActivityNet) for the last four years, we observe that more research is needed to develop methods that can reliably discriminate activities, which involve fine-grained motions and/or subtle patterns in motion cues, objects and human-object interactions,” said Bernard Ghanem, associate professor of electrical engineering at King Abdullah University of Science and Technology, in the report.

“Looking forward, we foresee the next generation of algorithms to be one that accentuates learning without the need for excessively large manually curated data. In this scenario, benchmarks and competitions will remain a cornerstone to track progress in this self-learning domain.”

Read more on Artificial intelligence, automation and robotics

How to achieve explainability in AI modelsFuture Decoded: AI-powered data revolutionises software developmentHow to optimize storage for AI, machine learning and deep learning3 important steps to get started with AIAI for decision-making shows promise, but worker trust an issuecomputer hallucinationLatest News

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I hope in some way with this blog to help significantly in the socio-economic and technical-scientific development of the countries. E-mails: rodrigoncal1984@gmail.com rodrigonunescal@yahoo.com calrodrigonunes@gmail.com rodrigoncal1984@yahoo.com ´´NÃO VÁ PARA ONDE O CAMINHO PODE TE LEVAR. VÁ ONDE NÃO HÁ CAMINHO E DEIXE UMA TRILHA. ´´ ´´DON'T GO WHERE THE PATH CAN TAKE YOU. GO WHERE THERE IS NO PATH AND LEAVE A TRAIL. ´´ @ KNOWING THE UNKNOWN.. CONHECENDO O DESCONHECIDO.. The world needs very innovative ideas to people live better and longer more and more. I have been invited as a Speaker/Delegate in numerous International Conferences and Congresses. * DISCOVERING HOW THE INITIAL STAGES OF A CERTAIN DISEASES WORK, SUCH AS A FATAL DISEASES, IS OF HUGE IMPORTANCE FOR SCIENCE, FOR SURE. THERE ARE SEVERAL BIOLOGICAL FACTORS CONNECTED IN THE HUMAN BODY THAT ACTING IN A VERY COMPLEX FORM. 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THE GOAL S TO CREATE SOMETHING THAT WILL´´ # time #time #internet #technologies #HighTechnologies #Cell Phones #Computer #Notebook  # Television #radio #communication #tempo  #InternetSociety # Society #person # people # age #ages #genetics #longevity #investigations #researches #efficiency #projects #ideas #reference #references #article #articles #journal # journals #magazines #websites #blogs #sites #links #SocialNetworks #energy #graphics #dissertation #monograph #citations #ImpactFactor #pesquisa #pesquisas #tecnologias #DiferentesPercepções #DifferentPerceptions #mind #mente #minds #MentesHumanas #emails #email e-mails reading #MenteHumana leitura mensagem mensagens probabilidade(s) probabilities messages message importance importância relevância assunto(s) subject subjects issue tema reflexão reflections vision visão pioneirismo pionners prêmio(s) prizes awards innovations inovações Grupos de Estudo Grupos Controle saúde doença(s) nome(s) tempo(s) Início da doença - Momento inicial da doença - Momento(s) inicial(ais) da(s) doença(s) humana(s) - Semelhança genética com camundongos - Mice researches - vaccines - drugs - eficiência - medicamento(s) - vacina(s) - High efficiency - Fatal diseases - Doenças fatais - Investments - investimentos - laboratórios - industries - indústrias - laboratories - Centros de Pesquisa - Países - cidades - cities - longevidade - desafio(s) - challenges - gráficos detalhados - interações biológicas - fatores biológicas - análise minuciosa - Very detailed analysis @ Initial moment of disease - Initial moments of human diseases - No Name @ discussion - discussão científica - science facts - detailed graphics - fatos científicos - publicação de trabalhos científicos - publications - hard work - better results - better science - diagnóstico - prognósticos - Diferença Estatística Significativa 100 Diferença Estatística Significativa @ Significant Statistical Difference - V X I Interpretations interpretações intenções intenions countries EU 100 gene Sem genes Cem genes 1 0 0 gene(s) time(s) times 100 limites limite(s) limits 1 0 0 limit NO LIMIT 10 0 @ 100 genes @ 100 gene & NO GENE NO TEMPO NOS TEMPOS NO(S) TEMPO(S) NOS TIMES NO TIME 100 GENE No Time # no time @ nos genes no(s) gene(s) * no(s) limite(s) - words- palavra(s) - listen - write - type - fala - escuta - ler - virtualidade - virtuality - reality - realidade - mundo real - mundo virtual - vida real - virtual life - real life - vida virtual - imaginations - thoughts - pensamento(s) - imaginações - melhoria - improvement - respect - respeito - speak - nome(s) - trabalho(s) - dinheiro - money - team - equipe - objetivo(s) - Best Universities of the World - Scientific Discoveries - Brazil - World - RNA - Cell - DNA - Idade biológica - biological age - pessoas - idade - idade(s) - pessoa - História da Computação Mundial - Harvard - Names - Places - City - researches - scientists - professors - pesquisador(es) - cientistas - professores - professor(es) - Produção científica - Fatores de Impacto - feelings - logic - sentimento(s) - lógica - história - world history - difficulties - dificuldades - Scientific community - comunidade científica mundial - vidas humanas - vida(s) humana(s) - trabalho(s) - human lives - life - human life - única - one life - person people @ momentos - moments memories memory memória longevidade energias energia(s) Many people liked my Twitter and Facebook comments that I informed this blog like great professors, scientists and researchers around the world who work in human health area! Many data about it aren´t in this blog. #database #system #time #data #search #information #InternetHistory #contribuitions #improvement #analysis #intentions Intenções @ #person #people #age #longevity #work #reading #probabilities #energy #money #price #clicks #jobs #country #city #countries #cities #knowledge #HumanInterdependence #WorldHistory #communication #HumanRelations #websites #e-mails #SocialNetworks #ranking #links #images #photos #texts #messages #videos #writing #typing #speak #listen #think #feelings #ideas #ScientificDiscoveries #investigations #researches #articles #ImpactFactors #journals #citations #influence #dissertations #monographs #ScientificWorks #Inventions #graphics #subjects #books #references #blogs ´´Compreender as grandes dificuldades de um determinado assunto pode ser um processo muito demorado, porém, de grande valia para o progresso da Ciência em todos os aspectos´´ Rodrigo Nunes Cal Observação/Note: I won a scholarship by FAPEMIG during the period of ´´my´´ monograph in Uberaba. Ganhei bolsa de estudo pela FAPEMIG durante o período da ´´minha´´ monografia em Uberaba. During the period that I participated of ´´my´´ dissertation at FAMERP, I didn't win a scholarship. Já durante o mestrado que fiz na FAMERP, não ganhei bolsa de estudo. ´´Os gráficos baseados em dados da ´´minha´´ dissertação que fiz podem ser uma excelente referência para muitos tipos de pesquisas e projetos, é claro !! Por exemplo, para pesquisas e projetos que tenham como objetivo analisar os tipos de influências das idades em camundongos e humanos (estudos genéticos, por exemplo) em relação a diferentes estágios de determinadas doenças, como aquelas em que a comunidade científica desconhece (doenças desconhecidas) e que poderão surgir no mundo. Outros tipos de pesquisas e projetos que podem ser feitos são aqueles que analisam a eficácia de diversos tipos de substâncias terapêuticas em camundongos e humanos nos diversos tipos de doenças com o objetivo de saber qual a melhor substância terapêutica para cada doença, levando em consideração a idade e genética, com certeza. Contudo, realizar pesquisas com o objetivo de avaliar qual é a influência da idade e da genética na eficiência terapêutica em animais de experimentação e em humanos, consequentemente, possui um grande valor, já que muitas pessoas adoecem e acabam falecendo mesmo sendo submetidas à ótimos sistemas de diagnóstico, tratamento e prognóstico, dependendo da doença que possui e do estágio da mesma´´. ´´A partir daí, ao comprovar que há influência significativa da idade e da genética, consequentemente, no processo de patogênese de doenças nos animais de experimentação e nos humanos, seria muito mais conveniente e lógico um grupo de indivíduos de certa faixa etária e histórico familiar e individual de doenças adquiridas e possíveis de serem adquiridas no decorrer do tempo serem tratados com outros tipos de medicamentos, substâncias terapêuticas, vacinas, dentre outros. Com certeza, para a realização destes tipos de pesquisa deve haver grande investimento financeiro nos laboratórios a fim de aquisição de aparelhos científicos altamente eficientes. Com certeza, pesquisas à nível genético e com relação à influência da idade do ser vivo na patogênese de doenças, até das doenças desconhecidas pelo mundo científico. O fato é que este tipo de pesquisa é muito importante porque como todos sabem, há muitas doenças que voltam a se manifestar nas pessoas mesmo depois de excelentes tratamentos, dos mais variados tipos. E outro ponto a ser refletido é a permanência de doenças fatais´´. ´´Assim, este tipo de influência da idade e consequentemente da genética na fisiopatologia das doenças hereditárias ou não hereditárias, um indivíduo de uma determinada idade será submetido a um tratamento terapêutico diferente de outro com a mesma doença mas com idade diferente da de até a pesquisa mostrou uma influência significativa na patogênese da doença, portanto, utilizará outro tipo de substância terapêutica, medicamentos, entre outros. Isso certamente acontecerá se a comunidade científica mundial comprovar cientificamente essas hipóteses por meio de várias pesquisas e projetos científicos. As pessoas precisam ter excelentes inovações para a expectativa de vida humana aumentar muito rapidamente cada vez mais. Portanto, quanto mais a medicina personalizada for, melhor será para cada um de nós´´. Rodrigo Nunes Cal ´´The graphics based on data from ´´my´´ dissertation I did can be an excellent reference for many types of researches and projects, of course!! For example, for researches and projects that the goals are analyse the type of influences of ages in mice and human (genetic studies, for example) in relation to different stages of determined diseases, like those that the scientific community do not know about them (unknown diseases). Other types of researches and projects that can be done is those that analyse the efficiency of many types of therapeutical substances in mice and human in many types of diseases with the objective of knowing which is the best therapeutic substance for each disease, taking into account age and genetics, for sure. For example, to carry out research with the objective of evaluating the influence of age and genetics on therapeutic efficiency in experimental animals and in humans´´. ´´Thus, by proving that there is a significant influence of age and genetics, consequently, in the process of pathogenesis of diseases in experimental animals and in humans, it would be much more convenient and logical to have a group of individuals of a certain age group and family and individual history of acquired diseases and possible to be acquired over time being treated with other types of drugs, therapeutic substances, vaccines, among others. Certainly, to carry out these types of research there must be a large financial investment in laboratories in order to acquire highly efficient scientific devices. Certainly, research at the genetic level and regarding the influence of the age of the living being on the pathogenesis of diseases, even diseases unknown to the scientific world. The fact is that this type of research is very important because as everyone knows, there are many diseases that come back to manifest in people even after excellent treatments, of the most varied types. And another point to be reflected on is the permanence of fatal diseases´´. ´´Taking into account this type of influence of age and consequently genetics on the pathophysiology of inherited or not inherited diseases, an individual of a certain age will be submitted to a different therapeutic treatment from another with the same disease but who has a different age than through the research has shown a significant influence on the pathogenesis of the disease, therefore, will use another type of therapeutic substance, medicine, among others. This will certainly happen if the world scientific community scientifically proves these hypotheses through various research and scientific projects. So, the people need to have excellent innovation to the human expectancy  of life increase so much faster more and more´´. Rodrigo Nunes Cal Note/Obs: I thought each person could do their own friend request permission setting since Facebook's technology is so big, for example. Eu achava que cada pessoa poderia fazer sua própria configuração de permissão de solicitação de amizade já que a tecnologia do Facebook é muito grande, por exemplo.

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