Meneja Wa Makampuni
JF-Expert Member
- Jul 7, 2020
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Sasa AI ina ugumu gani mkuu mpaka mwanze kuwatisha watu.
Sasa AI ina ugumu gani mkuu mpaka mwanze kuwatisha watu.AI imekuwa mambo ya kawaida tena? Uko sawa kweli reviewer?
Sitishi watu ila AI siyo kitu kidogo kwa reviewer kama wewe maana ndiyo imekupa kazi. Pia, dunia ya Sasa haiitaji AI kuchukuliwa kuwa kitu kidogo.Sasa AI ina ugumu gani mkuu mpaka mwanze kuwatisha watu.
Hongera sana mkuu kwa maelezo mazuri. Jitulize kidogo na hii video inayo onyesha jinsi tunavyoweza kutumia AI kujaza mafuta kwenye magari. Yaani badala ya kutumia pump attendant tunatumia AI pump attendant.Why is a PhD essential to become a peer-reviewer?
I am going through the process of becoming a peer-reviewer, while I am coming across every journal editor mentioning that being a doctorate is a minimum qualification, to be approached for reviewing. I have many peers who have had a good amount of author experience who are eager to don the...www.editage.com
Nenda kafanye research uone what it takes to become a ‘peer reviewer’ and if it’s possible to become one without a PhD, not only that you also need to have published a number of peered reviewed journals on the topic yourself or be field expert with long experience.
Extensive knowledge on the subject is a must before you can be considered as ‘peer review’ ndio maana in academic writing kuanzia level 9 kwenda juu vyuo vinavyojitambua wanataka if possible utumie references zote kutoka kwenye ‘peer reviewed’ journals ndio maandiko pekee wanachukulia yenye hadhi.
Sasa wewe hata tukikuuliza maswala ya AI humu kuelezea mtihani, huna Phd, huna ‘published peer reviewed journals’ hata moja; ndio Elsevier wakupe hiyo kazi.
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Kupitia website yao wanatangaza course ya ‘peer review’ lakini cheti aina maana umesajiliwa na kupata cheti only sio shida pia.
Sikubishi kwa sababu aiwezekani ila academically ujafikia vigezo wala kwenye ajira huna accomplishment za kuwa na sifa ya kuwa ‘peer reviewer’, watu wanaofanya hivyo ni authority katika hiyo discipline husika.
Wewe hata maswali mepesi ya AI inavyofanya kazi na kutofautisha mambo niliyokuuliza awali uwezi jibu.
Huko mbele kwenye maswali magumu ndio kabisa sidhani kama utaweza jibu; mfano you do know kwa sasa major companies ndio zina fund researches na kununua AI, hiyo technology sio kwamba unaenda sokoni na kununua tu. Kwenye kununua orders zinatolewa kulingana industry usage na specifics algorithm za kampuni inazotaka.
Ni hivi ku review hayo mambo unahitaji kuwa mtaalamu wa karibu sana na sector husika.
Ebu tueleze kuna status ngapi za engineering firms na level zipi zinatumia AI technology kwa kiasi kikubwa kwa sasa na kwanini?
Embu acha utoto, ungekuwa unatumia muda wako kufikiria ni kitu gani cha kufanya halali unaonekana una uwezo wa kutoboa na kutengeneza maisha mazuri tu kwa sababu upo informed kiasi.
Shida yako akili umewekeza kwenye mbinu za ulaghai tu badała ya kufikiria fursa za kuzalisha kihalali something tells me you are clever, only that akili yako umewekeza kwenye mambo ya hovyo and other over-ambitious goals kwa uwezo wako.
Unaenda kuokota certificate mitandoni na ku-edit unatuona sisi mapoyoyo kweli.
Ahsante sana mkuuHongera mkuu
Ahsante sana mkuuHongera Mkuu hata hivyo mara nyingi unaandika vitu vyenye maana endelea kupata fursa zaidi uwasaidie na wengine..
Ni mimi mwenyewe mkuuSio wewe
Usingeficha jinaNi mimi mwenyewe mkuu
Mkuu hapa ni jamii forums nawekaje jina hadharani boss.Usingeficha jina
Au nipe mbinu ya kuonyesha hilo jina maana wadau wanadhani natania.Usingeficha jina
Hongera mdada mzuri halaf msomi lov uHongera Meneja...
Unaombwa uelezee tofauti ya AI, ML, DA na RPA. Badala ya kujibu unaenda leta cheti cha kuokota mitandaoni na ku-edit.Bwana Mayor Quimby unamfahamu Roboti Spot?
Embu tafuta muda ujifunze juu ya huyo robot.
Kwa sasa, roboti huyu anatumiwa sana na makampuni ya mafuta na gesi. Mambo ya AI hayo Robot huyu anauwezo wa kutembea kwenye maeneo magumu na kufanya ukaguzi katika mazingira hatarishi.
Spot ana miguu minne inayompa uwezo wa kutembea kwenye ardhi isiyo na usawa, kupanda na kushuka ngazi, na kuepuka vizuizi.
Anaweza kuzunguka kwa urahisi kwenye maeneo yenye vikwazo na kufika sehemu ambazo zinaweza kuwa hatarishi kwa binadamu.
Pia Spot anauwezo wa kubeba kamera, sensa, na vifaa vingine vya ukaguzi.
Sasa ndugu yangu Mayor Quimby wa maswali ya kudefine robot huyu amekua akitumiwa na makampuni ya mafuta na gesi katika maeneo yafuatayo:
1. Amekua akitumika kufanya ukaguzi wa mabomba, mitambo, na miundombinu mingine katika maeneo ya uzalishaji wa mafuta na gesi. Kwa kufanya hivyo anapunguza hatari kwa wafanyakazi kwa kufika maeneo magumu na hatarishi.
2. Pia bwana Spot anaweza kufuatilia hali ya usalama wa maeneo ya uzalishaji kwa muda mrefu bila kuchoka huku akirekodi video na kuchukua picha za maeneo mbalimbali.
3. Kwa kutumia sensa na kamera, Spot anaweza kutambua uvujaji wa gesi au mafuta, na kutoa taarifa mapema ili hatua zichukuliwe haraka.
4. Bwana Spot pia anaweza kukusanya data mbalimbali kutoka kwenye sensa na vifaa vingine, ili kusaidia makampuni kufanya maamuzi sahihi kwa kutumia taarifa za wakati halisi (Real-Time data).
Video hii inaonyesha Bwana Spot akifanya kazi yake.
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Nimekwambia hayo maswali kwangu ni madogo nipe swali la kukutengezea model inayotumia mfumo wa AI unanipa mambo ya kudefine hizi ni dharau za wazi.Unaombwa uelezee tofauti ya AI, ML, DA na RPA. Badala ya kujibu unaenda leta cheti cha kuokota mitandaoni na ku-edit.
Nimekupunguzia maswali, nimekuuliza moja elezea process za DA. Badala ya kujibu hoja unaenda leta picha ya kitabu cha ML.
Haya kama umesoma hiko kitabu chako nimekuuliza tofauti ya ML na DL. Unaenda niletea maelezo mengine ya machine inayotumika baharini (kumbe ndio kwanza inafanyiwa testing kwenye meli hapo, sijui kiwandani).
Ungekuwa unaelewa concept za cognitives machine nimeshakueleza sasa hivi most common technology ni zile zinazofanya repetitive task (Robotic Process Automation) na ungekuwa umejibu maswali au hata kuelewa concepts hayo mambo nishakuuliza in technical grounds na uwezi kujibu.
Please don’t waste my time kujadili vitu ambavyo huna uelewa navyo.
Mifumo ya cognitive machines ndio hiyo niliyokwambia AI, DA, ML, RPA. Ambayo uwezi define.Nimekwambia hayo maswali kwangu ni madogo nipe swali la kukutengezea model inayotumia mfumo wa AI unanipa mambo ya kudefine hizi ni dharau za wazi.
Hongera sana. Hata hivyo, jarida lilipie airtime hapa JF.Habari wanajamii forums,
Nimeteuliwa kuwa reviewer wa Jarida la Matumizi ya akili bandia katika uhandisi (Journal of Engineering Applications na Artificial Inteligence).
Hivyo kwa wanaopenda kufanya tafiti katika eneo la matumizi ya akili bandia kwenye mambo ya sayansi na uhandisi karibuni kutuma maombi yenu ya kuchapisha tafiti zenu katika jarida hili.
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Tovuti ya jarida: https://www.sciencedirect.com/journal/engineering-applications-of-artificial-intelligence
About the journal:
The International Journal of Intelligent Real-Time Automation
A journal of IFAC, the International Federation of Automatic Control Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.
Papers which do not respect the 4 following conditions will be desk-rejected without being sent to reviewers:
Focal points of the journal include, but are not limited to innovative applications of:
- Papers on new metaphor-based metaheuristics are very rarely accepted by EAAI (see details on this in the guide online).
- The abstract should clearly specify which is the contribution in AI and which is the application in engineering.
- The use of undefined acronyms in the title and in the abstract is forbidden.
- The papers must be formatted in single-column format.
Engineering Applications of Artificial Intelligence publishes:
- Internet–of–things and cyber-physical systems
- Intelligent transportation systems & smart vehicles
- Big data analytics, understanding complex networks
- Neural networks, fuzzy systems, neuro-fuzzy systems
- Deep learning and real world applications
- Self-organizing, emerging or bio-inspired system
- Global optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc.
- Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control
- Decision-support systems
- Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning
- Applications of chaos theory and fractals
- Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics
- Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems
- Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis
- Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability
- Intelligent fault detection, fault analysis, diagnostics and monitoring
- Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises
- Robotics
The Editors of Engineering Applications of Artificial Intelligence wish to inform authors that this journal will not publish papers that propose "novel" metaphor-based metaheuristics, unless the authors:
- Survey papers/tutorials
- Contributed papers — detailed expositions of new research or applications
- Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications
- IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature
For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.org
- present their method using the normal, standard optimization terminology;
- show that the new method brings useful and novel concepts to the field;
- motivate the use of the metaphor on a sound, scientific basis;
- present a fair comparison with other state-of-the-art methods using state-of-the-art practices for benchmarking algorithms.
Software publication
We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.
Karibuni.
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