Methodologies VI: Methodology Manifesto
Africana studies has the singular history of being a field that is both personal and academic. It is a field where possibility and malleability reign supreme. For students whose vocational education purposely and systematically excluded the histories, literature, and art of Africana peoples, Africana studies could serve as a second education, a (hopefully) diasporic family history. For students who have grown up in predominantly white spaces, Africana programs have the capacity to serve as a quest for a reimagined and realized black self. The field has transformative power as it is the reflection of self, the world, and it’s future. However it’s this mixture of the personal and academic that has proved to be both the field’s point of success and failure.
Like many of the scholars who pondered the future of Africana studies, I too feel that Africana studies, as I’ve experienced it, has focused excessively on deconstructing white supremacist and hegemonic thought and practice (Rabaka, Africana Critical Theory). For survey courses in the discipline this focus on deconstruction is not only important but also necessary. However, the study should move past this stasis. As students plunge deeper into the field, the focus should also deepen. I suggest that courses include the radical thought that is explored in black feminism and womanism, modern articles/videos/and or movements (digital or otherwise), or rarely called upon texts that complicate or reformulate daily black life.
Furthermore Africana study both in survey and major courses need to incorporate an international narrative. Here I do not mean a simple additive course of action that tokenizes Afro-Latino, Afro-European, and African thought (Higginbotham, Designing an Inclusive Curriculum). I mean an infusing of various scholars from these regions at the inception of Africana education. Because Africana studies is the intersection of the personal and the political, American institutions often have ignored or bypassed other texts because they see them as irrelevant to their national narrative. We must not only be cognizant of this failing but also realize that our experiences are a part of a larger dialogue. If Africana studies wishes to continue being the transformative field it is, it must implement this change. This would inhibit our theories from being too Americentric and would encourage future endeavors to truly encapsulate the African diaspora. It would also even cover the aforementioned point of finding new/radical thinkers instead of regurgitation of ‘classic texts’.
And we can’t stop there. As Africana is an interdisciplinary field, its reach should even extend to quantitative data. Similar to Psychological Statistics, an Africana Studies and Statistics course would teach not only the formulation of numbers but also the ways in which statistics are manipulated in various studies in relation to Africana peoples. The class would effectively prepare students to use this quantitative practice in future research, and further integrate Africana studies in other quantitatively drive fields.
Ultimately I’m calling for a breath of new life into the field. An understanding of the passage of time and shortcomings that feeds the future of Africana studies. We need to incorporate black women, international radical thought, quantitative study, digital media, sex and sexuality, and the arts as all necessary and integral subjects to this field. I’m calling for the cessation of additive education in favor of whole-hearted inclusion. For we are not where we were when Africana Studies began. We should no longer centralize white theory and black male radicalism in our work. As we are expanding our community our study should too. We must move past deconstruction in order to build lasting education for our youth.
Word count: 589
Works Cited
Higginbotham, Elizabeth. “Designing an Inclusive Curriculum: Bringing All Women Into the Core,” Words of Fire. Print. The New Press: New York, NY. 1995. 480
Rabaka, Reiland. “Africana Critical Theory: Overcoming the Aversion to New Theory and New Praxis in Africana Studies and Critical Social Theory”.
Tags: Assignments, methodologies
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Аппаратный ускоритель для выполнения логического вывода сверточных нейронных сетей является отличительной особенностью микроконтроллеров серии MAX7800x, которая отличает их от стандартной архитектуры микроконтроллеров и периферийных устройств. Этот аппаратный ускоритель может поддерживать полные архитектуры моделей CNN вместе со всеми необходимыми параметрами (весами и смещениями). Ускоритель CNN оснащен 64 параллельными процессорами и встроенной памятью объемом 442 Кбайт для хранения параметров и 896 Кбайт для входных данных. Поскольку модель и параметры хранятся в памяти SRAM, их можно настроить с помощью встроенного ПО, а сеть можно адаптировать в режиме реального времени. В зависимости от того, используются ли в модели 1-, 2-, 4- или 8-разрядные веса, этой памяти может быть достаточно для хранения до 3,5 миллионов параметров. Поскольку возможности памяти являются неотъемлемой частью ускорителя, параметры не обязательно извлекать через структуру шины микроконтроллера при каждой последовательной математической операции. Эта операция является дорогостоящей из-за больших задержек и высокого энергопотребления. Ускоритель нейронных сетей может поддерживать 32 или 64 слоя, в зависимости от функции объединения. Программируемый размер входного/выходного изображения составляет до 1024 × 1024 пикселей для каждого слоя.
Аппаратное преобразование CNN: Сравнение энергопотребления и скорости вывода
Вывод CNN – это сложная вычислительная задача, включающая большие линейные уравнения в матричной форме. Используя возможности микроконтроллеров Arm Cortex-M4F, можно выполнять вывод нейросеть.space по встроенному программному обеспечению встроенной системы; однако следует учитывать определенные недостатки. При выводе на основе встроенного ПО, выполняемом на микроконтроллерах, сильно расходуются энергия и время, поскольку команды, необходимые для вычисления, вместе с соответствующими данными параметров должны быть извлечены из памяти, прежде чем промежуточные результаты могут быть затем записаны обратно.
В таблице 1 представлено сравнение скорости вывода CNN и энергопотребления при использовании трех различных решений. Этот пример модели был разработан с использованием MNIST, обучающего набора для распознавания рукописных цифр, который классифицирует цифры и буквы на основе визуальных входных данных для получения точного выходного результата. Время вывода, требуемое для каждого типа процессора, было измерено для определения различий между потреблением энергии и скоростью.
Таблица 1. Время и энергия на вывод CNN для трех различных сценариев
Использование набора данных MNIST для распознавания рукописных цифр
Сценарий
Скорость вывода
(мс)
Энергия на вывод (мкВт)
(1) MAX32630, сеть MNIST в встроенном ПО 574 22887
(2) MAX78000, сеть MNIST в аппаратном обеспечении 1.42 20.7
(3) MAX78000, аппаратная сеть MNIST, оптимизированная для низкого энергопотребления 0.36 1.1
В первом сценарии для вычисления логического вывода использовался процессор Arm Cortex-M4F, встроенный в MAX32630, который работает на частоте 96 МГц. Во втором сценарии для обработки вычислений использовался аппаратный ускоритель CNN на базе MAX78000. Скорость вывода — то есть время между представлением визуальных данных на входе сети и выводом результата — в 400 раз ниже при использовании микроконтроллера с аппаратным ускорителем (MAX78000). Более того, требуемая энергия для вывода в 1100 раз меньше. В третьем сравнении сеть MNIST была оптимизирована для минимального потребления энергии на вывод. Точность результата в этом случае снижается с 99,6% до 95,6%. Однако сеть работает намного быстрее, требуя всего 0,36 мс на вывод. Потребление энергии снижается всего до 1,1 мкВт на вывод. В приложениях, использующих две щелочные батареи типа АА (общая мощность 6 Втч), возможно пять миллионов выводов (мощность, потребляемая остальной частью схемы, не учитывается).
Эти данные иллюстрируют мощь вычислений с аппаратным ускорением. Вычисления с аппаратным ускорением – бесценный инструмент для приложений, которые не могут использовать подключение к интернету или непрерывный источник питания. MAX78000 обеспечивает передовую обработку данных без необходимости использования большого количества энергии, широкополосного доступа в Интернет или длительного времени вывода.
Пример использования микроконтроллера MAX78000 AI
MAX78000 позволяет использовать множество потенциальных приложений, но давайте рассмотрим следующий вариант использования в качестве примера. Требование состоит в том, чтобы спроектировать камеру с батарейным питанием, которая определяет, когда кошка находится в поле зрения ее датчика изображения, и, следовательно, обеспечивает доступ в дом через цифровой выход через кошачью дверь.
На рисунке 2 изображен пример блок-схемы для такой конструкции. В этом случае ядро RISC-V включает датчик изображения через регулярные промежутки времени, и данные изображения загружаются в CNN, работающий от MAX78000. Если вероятность распознавания кошки превышает ранее определенный порог, включается кошачья дверь. Затем система возвращается в режим ожидания.
Рис. 2. Структурная схема умной двери для домашних животных.
Среды разработки и наборы для оценки
Процесс разработки приложения на базе искусственного интеллекта можно разделить на следующие этапы:
Фаза 1: Искусственный интеллект – определение, обучение и квантование сети
Фаза 2: Встроенное по Arm – Включение сетей и параметров, сгенерированных на этапе 1, в приложение C/C++, а также создание и тестирование встроенного ПО приложения
Первая часть процесса разработки включает в себя моделирование, обучение и оценку моделей искусственного интеллекта. На этом этапе разработчик может использовать инструменты с открытым исходным кодом, такие как PyTorch и TensorFlow. Репозиторий GitHub предоставляет исчерпывающие ресурсы, помогающие пользователям планировать свой путь в построении и обучении сетей искусственного интеллекта с использованием среды разработки PyTorch, принимая во внимание аппаратные характеристики MAX78000. В репозиторий включено несколько простых сетей искусственного интеллекта и приложений, таких как распознавание лиц (Face ID).
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CGI is a global IT and business process services provider that delivers high-quality solutions to its clients across various domains. CGI is looking for fresh graduates who are passionate about technology and innovation to join its team as software developers, engineers, analysts and consultants.
CGI off campus drive is an opportunity for candidates who have completed their BE/ B Tech/ ME/ M Tech, M Sc in Computer Science/ Information Technology, MCA or any other relevant degree in 2021, 2022 or 2023 batch. CGI off campus drive is conducted through online assessments, technical rounds and HR interviews. Candidates who clear all the stages will be offered a full-time job at CGI with a competitive salary and benefits.
CGI OFF CAMPUS DRIVE
Eligibility Criteria
The year of the drive is 2023. so, all the 2023, 2022, 2021 batch freshers are eligible for this drive.
Candidates who have finished BTech ,ME,MTech, MSc in various streams during graduation or post graduation program are eligible to drive.
60% and above score is mandatory.
Candidates shouldn’t have any backlogs.
Minimum of 1 year gap is acceptable.
Required Skills
Below mentioned skills are basic and minimum skills which a candidate must have.
Candidates should have excellent communication and interpretation skills.
One should have knowledge of MS office, programming and other computer fields.
Candidates should have leadership and collaborative skills.
Candidates should be comfortable to extend the work hours if required for the project.
One should have the ability to manage a team and handle clients.
Note : skills vary when positions or jobs in a company are changed.
The selection process at CGI OFF CAMPUS DRIVE:
There are four selection stages in CGI off campus drive. These all stages are crucial and critical to be a part of a company. So be confident and perform well. The stages are
Online aptitude test
Group discussion
Technical interview
HR round
Online aptitude test is conducted to examine the mentality and knowledge of the candidate. Main purpose of this test is to shortlist the best candidates. In the test below the mentioned topic can be asked
Basic English
Quantitative questions
Comprehension and verbal ability.
In group discussion one topic is given. On the topic each candidate should speak. During this session different topics and knowledge of the candidate is assessed. This also further helps to shortlist smart candidates.
This kind of interview is conducted mainly for engineering science or software rules. It essays technical ability for the role and the depth of knowledge in the chosen field.
Finally the candidate meets with the HR panel where whether he is eligible for the job or not is decided. There candidates’ decision making, problem solving and other practical skills are tested.
Talent Battle provides online training courses and mock tests for students who want to join CGI through its off-campus drive program. The courses cover topics such as aptitude, programming, verbal ability, logical reasoning, technical skills, etc. that are essential for cracking the CGI selection process. The mock tests help students assess their strengths and weaknesses and improve their performance.
The off-campus drive program by CGI is a great opportunity for students who want to start their career in a reputed IT company with a global presence. The program offers attractive salary packages, learning opportunities, career growth prospects, and exposure to cutting-edge technologies.
ZS Associates is a management consulting and technology firm that provides services for clients in healthcare, private equity, and technology. The company is looking for freshers who are interested in joining as Systems Analysts through Zs-Associates off campus drive 2023.
Systems Analysts are responsible for resolving system issues, managing master data, coordinating between different systems, and providing support to other team members. They should have good knowledge of computer, excel, MS office, and any financial tool such as SAP or ECC. They should also have excellent communication skills, problem-solving abilities, and a hardworking attitude.
ZS Associate Off-Campus Drive- Eligibility criteria
Need to complete B.E, B Tech, M.E, M Tech in the years of 2021/2022/2023
Should not have an academic gap of more than 2 years
Need to complete their backlogs before the submitting the application
Job description & skills required:
Able to resolve system issues and also assist other team members to resolve issues
Knowledge of using computer, Ms-office, and Ms-Excel is required
Any workshop or training experience in SAP, ECC or any other financial tools is an added advantage
Master Data Management
Need to co-ordinate different systems to sync and maintain the accuracy of the data.
Need to monitor and resolve errors found.
Required to meet strict deadlines
Requirements:
Engineer with 0–3 year experience
Capability to work in multi-cultural environment
Hardworking nature and sincere attitude towards work are expected
Excellent verbal and written communication skills are required. Additionally, fluency in any one European language or Asian language is required.
Candidates must have or be able to obtain work authorization for their intended country of employment.
The selection process at ZS Associate Off-Campus Drive:
The aspiring candidate needs to clear three rounds. They are :
1. OnlineTest: This test comprises 65 questions within 75 minutes. After qualifying for the online test, then you will be informed about the technical interview.
2. Technical Interview: This round will comprise 20 questions that need to be completed within 35 questions.
Later if you select in that round, you will be informed to attend an HR interview.
3. HR interview
How to prepare for the off-campus drive in 2023?
There are lots of aspirants waiting to grab this opportunity to work with such a reputed company as ZS Associates. But with planned preparation, anything can be achieved. First and foremost, understand the syllabus fully. Next, get confidence in your basics, and practice more placement papers. Polish your technical knowledge by solving different companies coding questions. Design your resume well, and be open in your interview. Then you can definitely crack this job.
If you are interested in preparing for the ZS Associates off campus drive, you can visit Talent Battle . We are a group of mentors and educators who help Engineering, BCA, MCA, and other students prepare for their campus and off-campus placement opportunities. They have trainers with an average of 8 years of experience in training students for their Tech company interviews. They help students in learning Aptitude, Programming, Verbal Ability, and all other skills necessary to get placed in their dream companies.
Talent Battle also provides mock tests, practice questions, video lectures and live sessions on various topics related to ZS Associates recruitment process. You can access all these resources on their website There you can also find more details such as important dates, syllabus pattern etc.
So what are you waiting for? Apply now for the ZS Associates Off Campus Drive and get ready to start your career with one of the best companies in the world.
Zoho Corporation is a leading software company that offers a range of products and services for businesses and individuals. Zoho off campus drive has been recently announced for freshers and experienced candidates from various batches and streams. The off campus drive aims to hire talented and passionate candidates for multiple positions such as web developer, software developer, UI/UX designer and QA engineer.
Currently, Zoho is planning to recruit candidates as employees with excellent programming knowledge. You can get to know a wide range of self-improvement skills or tools during your tenure in the Zoho training program. Training will also be done and it will be on some department-specific roles that one can choose after the completion of the training period. Freshers can easily apply for this job opportunity and the salary for the job offer will depend on their performance during the selection process. In general, the minimum package is around 6 to 8 lakhs. But the package will also likely depend on the skill set and interest of the candidate. So, if you are preparing and want to apply for this job opening, then you can follow the pivotal steps given below.
Zoho Off-campus drive- Eligibility criteria
Now, those who are planning to apply for the chance will have to pass some strict and basic eligibility criteria. We are providing some notable points that are compulsory for all to remember: –
Candidate needs to be a Graduate or Post-Graduate
Good verbal and written communication skills
Ability to handle pressure
No backlogs allowed
Flexibility
Proficient and self-oriented
The selection process at Zoho Off-campus Drive
There will be some critical rounds that will make sure that the deserving aspirants get a chance. The critical steps that are followed by the company are as follows: –
Written aptitude test
Group discussion round
Round of Technical interview
HR Interview round
How to prepare for the Zoho off-campus drive in 2023?
Now, to clear all of these rounds, you will need to be as good as possible, in terms of knowledge and skills. For the first-round preparation, you can take the help of the placement question papers of the previous opportunities, that Zoho has completed.
So, firstly, participants will have to pass the aptitude test round. Secondly, some selected aspirants will have to take up the GD round. For this round, you can call up your friends and ask for help.
After that, the qualified candidate will have to go for the technical round. For this round, you can take the assistance of some of the sites like talentbattle.in, which offer details on crucial topics for the interview. The general topics for a technical interview can be the OS, DS, algorithms and programming logic.
Then, the selected candidates will proceed to the final tricky round of HR interviews. Finally, some will be selected for the job.
Talent Battle is a platform that helps you prepare for your campus and off-campus placement opportunities. We provides online courses,
mock tests, live classes, and mentorship from experienced trainers who have worked with top tech companies like Zoho. Talent Battle helps you learn aptitude, programming, verbal ability, and other skills necessary to get placed in your dream companies.
By applying for Zoho Off Campus Drive 2023 through Talent Battle,
you can get access to exclusive benefits such as:
– Free online assessment test to check your readiness level
– Free resume review and feedback
– Free interview preparation tips and guidance
– Free mock interviews with industry experts
– Free placement assistance and referrals
Don’t miss this golden opportunity to start your career with Zoho. Apply now and get ready to face the challenges of the future with confidence.
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I am the technologyies ventures, working for technologyiesventures PR consultant. With more than six years of experience in the PR and Digital Industry, helping teams achieve goals by streamlining the process
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