Archive for the ‘Machine Learning’ Category

Overview of Machine Learning Algorithms Used In Hardware … – SemiEngineering

A new technical paper titled A Survey on Machine Learning in Hardware Security was published by researchers at TU Delft.

Hardware security is currently a very influential domain, where each year countless works are published concerning attacks against hardware and countermeasures. A significant number of them use machine learning, which is proven to be very effective in other domains. This survey, as one of the early attempts, presents the usage of machine learning in hardware security in a full and organized manner. Our contributions include classification and introduction to the relevant fields of machine learning, a comprehensive and critical overview of machine learning usage in hardware security, and an investigation of the hardware attacks against machine learning (neural network) implementations.

Find the technical paper here. Published March 2023.

Kyl, Troya al, Cezar Rodolfo Wedig Reinbrecht, Anteneh Gebregiorgis, Said Hamdioui, and Mottaqiallah Taouil. A Survey on Machine Learning in Hardware Security. ACM Journal on Emerging Technologies in Computing Systems (2023).

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Overview of Machine Learning Algorithms Used In Hardware ... - SemiEngineering

Learn Pytorch With These 10 Best Online Courses In 2023 – Fordham Ram

PyTorch is an open-source deep learning framework created by Facebooks AI Research lab. It is used to develop and train deep learning mechanisms such as neural networks. Some of the worlds biggest tech companies, including Google, Microsoft, and Apple, use it. If youre looking to get started with PyTorch, then youve come to the right place. Well be taking a look at the 10 best PyTorch courses available online.

Everyone interested in learning more about PyTorch, from beginners to seasoned professionals, would benefit greatly from taking one of these courses. No matter what your budget is, youll be able to locate the course that meets your needs because well cover both free and paid courses.

So, if youre ready to take your PyTorch knowledge to the next level, lets dive in and explore the 10 best PyTorch courses out there.

This course is designed to equip learners with the skills to implement Machine and Deep Learning applications with PyTorch. It provides an overview of the PyTorch framework for deep learning and computer vision applications. Learners will get hands-on experience building Neural Networks from scratch. Theyll learn to build complex models through the applied theme of Advanced Imagery.

Duration: 14 hours and 14 minutes

Certificate: Yes

Cost: Paid

This PyTorch course provides an introduction to the theoretical underpinnings of deep learning algorithms and how they are implemented with PyTorch. It covers how to use PyTorch to implement common machine-learning algorithms for image classification. By the end of the course, you will have a strong understanding of using PyTorch. Youll be able to create and train deep learning models.

Duration: 6 hours and 18 minutes with 52 lectures.

Certificate: Certificate of completion

Cost: Paid

This course gives students a foundational understanding of PyTorch. Students will learn about neurons and neural networks and how activation functions. Students will also explore how to build dynamic computation graphs in PyTorch and contrast that with the approaches used in TensorFlow. By the end of this course, students will have the skills to move on to building deep learning models in PyTorch.

Duration: 2 Hours and 51 Minutes

Certificate: N/A

Cost: Paid

This Pytorch course teaches students how to deploy deep learning models using PyTorch. It begins by introducing PyTorchs tensors and the Automatic Differentiation package, then covers models such as Linear Regression, Logistic/Softmax regression, and Feedforward Deep Neural Networks. In addition, the course also deep dives into the role of different normalization, dropout layers, and different activation functions. And this isnt it; you can also explore transfer learning and convolutional Neural Networks.

Duration: 30 Hours

Certificate: Yes

Cost: Paid

This is an ideal introduction to (GANs) and provides a tutorial on building GANs with PyTorch. Students will learn to build a Generative adversarial network and understand their concepts. In the first section, you will gain an understanding of neural networks by building a simple image classifier. In the second section, you will explore the concept of adversarial training and build progressively complex GANs.

Duration: The course is expected to take about 13 hours to complete.

Certificate: Yes

Cost: Paid

This course offers an introduction to the fundamentals of deep learning and neural networks using Python and PyTorch. Students will learn the basics of deep learning and how to build deep neural networks. Theyll also learn to build deep learning pipelines for different tasks and applications. This course is suitable for students with no prior knowledge of deep learning. At the end of the course, students will be able to build deep learning models, understand their internal workings, and apply them to real-world tasks.

Duration: This course lasts for 6 weeks, with 2-4 hours of weekly study.

Certificate: Yes

Cost: N/A

This PyTorch course is a comprehensive introduction to the field of Deep Learning and its applications. In this course, you will learn the basics of deep learning and build your own deep neural networks. With practical exercises and projects, you will gain experience and learn to implement state-of-the-art AI applications such as style transfer and text generation.

Duration: The course duration is approx. two months.

Certificate: Yes

Cost: N/A

Image Segmentation is aimed at providing the fundamentals of Image Segmentation. This course covers the major techniques used in Image Segmentation, such as Understanding the Segmentation Dataset and Writing a custom dataset class for the Image-mask dataset. Teaches how to apply segmentation augmentation to images and masks. It also includes loading a pre-trained convolutional neural network for segmentation.

Duration: This course is 2 Hours.

Certification: N/A

Cost: free

Youll learn to use NumPy to format data into arrays to manipulate and clean data with pandas. The best part is that you get a quick rundown on the basic principles of machine learning. Explore more on image classification by using PyTorch Deep Learning Library for the purpose. Get practical training by using recurrent neural networks that are for the sequence time data series and create Deep Learning models to work with tabular data.

Duration: It takes around 17 hours to complete

Certificate: Yes

Cost: Paid

Students who take this course will better grasp deep learning. Deep learning basics, neural networks, supervised and unsupervised learning, and other subjects are covered. The instructor also offers advice on using deep learning models in real-world applications. Both beginners and experts can benefit from the course, which is designed for students of all skill levels.

Duration: 6 hours and 26 minutes

Certificate: Yes

Cost: Paid

PyTorch is a potent and widely used deep learning framework that provides developers with a number of advantages. With so many excellent PyTorch courses available online, theres no excuse to start your journey to mastering PyTorch!

Just consider this thought-provoking question what if PyTorch can address the most critical issues facing the globe? Might it be used, for instance, to improve climate models or contribute to forecasting and to prevent natural disasters? The possibilities are endless, and PyTorch will provide you with the necessary capabilities to take on even the most challenging tasks. So why not explore the PyTorch courses available today and build a brighter tomorrow?

PyTorch is an open-source deep-learning framework developed by Facebook. It builds and trains deep learning models such as neural networks.

PyTorch offers various benefits, such as dynamic computational graphs, ease of use, flexibility, and strong community support. It also has a Python-based interface, making it easy to learn and use.

PyTorch can be used to develop and train a variety of deep learning models, such as image and speech recognition, natural language processing, and recommender systems.

Yes, Python is a prerequisite for using PyTorch, as it is the primary language used for building and training deep learning models.

PyTorch can be relatively easy to learn, especially for those with prior experience in Python programming and deep learning. However, it may require some time and effort to fully master its advanced features and functionalities.

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Learn Pytorch With These 10 Best Online Courses In 2023 - Fordham Ram

New academic programme lowers cost for university researchers to … – Cambridge Network

Machine learning pioneer Intellegens today launched the Alchemite Academic Programme, a new initiative that lowers the cost of and makes it easier for university researchers in chemistry, materials research, and life sciences to use its groundbreaking Alchemite technology.

The Intellegens Alchemite software applies a machine learning (ML) algorithm originally developed at the University of Cambridge, simplifying decision-making and speeding-up the work involved in creating new formulations, chemicals, materials, and processes. The new programme, which was announced at this weeks American Chemical Society (ACS) Spring Meeting in Indianapolis, provides simple online access to the Alchemite software at a substantial discount.

Alchemite works by extracting value from real-world experimental and process data. This data is often sparse or noisy, which causes most ML methods to fail. The underlying mathematics of Alchemite overcomes this limitation. Other features include accurate uncertainty quantification for predictions, providing essential guidance to decision-makers, and computational efficiency, delivering fast answers to complex problems.

We have established firm foundations with companies across the chemicals industry and materials and life science sectors, explained Dr Gareth Conduit, CSO and co-founder at Intellegens. Now we want to support further use among the academic community, encouraging knowledge-sharing by enabling Alchemite to be applied in more university-based projects that will lead to scientific publications.

The Alchemite Academic Programme is open to any university researcher for use in non-commercial projects. Use of the software must be referenced in any resulting publications or presentations. Members can licence the software at an 80%+ discount relative to commercial pricing.

In an upcoming webinar on June 14th, Gareth Conduit, who is also a Royal Society University Research Fellow at the University of Cambridge, will explain the Alchemite method and present examples of academic projects that have used the technology in materials, chemistry, battery research, and life sciences. Further information on the webinar and the Alchemite Academic Programme is atwww.intellegens.com/academic.

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New academic programme lowers cost for university researchers to ... - Cambridge Network

Income Tax: How will AI, Machine learning, and data analytics simplify tax process in India? – Zee Business

Income Tax: The evolution of technology has proved to be beneficial for the finance industry. Artificial Intelligence (AI), data analytics, and machine learning (MI) are predicted to be the future. The Government of India is thus utilising this technology in a complex process like taxation to make the tax filing more effective, free of official discretion, and business- and taxpayers-friendly.

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Data analytics is being used to identify fiscal risks, suspicious trends and patterns, and risky entities in Customs and GST by leveraging big data. Here is how artificial intelligence, machine learning, and data analytics are used in the taxation process:

In 2021, the government rolled out a project ADVAIT (Advanced Analytics in Indirect Taxes), this project uses capabilities of big data and Artificial Intelligence as well. ADVAIT has been envisaged with a threefold objective of enhancing Indirect Tax revenue, increasing the taxpayer base, and supporting data-driven tax policy.

ADVAIT aids and assists officers in their daily operations which range from reporting and ensuring tax compliance to detecting tax evasion.

ADVAIT has been designed and developed in a knowledge-driven data ecosystem using some of the most advanced data warehousing business intelligence solutions, keeping in view the 3 Is: Information, Insights, and Intelligence.

The government is using AI, Machine learning, and data analytics for the following:

-Identifying cases with a high risk of tax evasion and high likelihood of income addition, for further scrutiny.

-Identifying taxpayers to send reminders for advance tax payments.

-Prompting specific taxpayers about apparent mismatches in Income Tax Returns (ITR) and transactions made, so that taxpayers may revise their returns.

-Using big data techniques for storage and effective search of information by income tax officers.

-Using data analytics over networks of taxpayers to visualise the taxpayer's relationships and to flag potential high-risk transactions.

-Using data analytics techniques for the segmentation of taxpayers to focus the campaign on high-risk cases from a tax evasion perspective.

Catch the latest stock market updates here. For all other news related to business, politics, tech, sports and auto, visit Zeebiz.com.

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Income Tax: How will AI, Machine learning, and data analytics simplify tax process in India? - Zee Business

Amazon Collaborates with IIT Bombay to Advance Artificial … – Amazon India Blog

Amazon is collaborating with IIT Bombay to advance research within speech, language, and multimodal AI. The Amazon- IIT Bombay artificial intelligence / machine learning initiative is a multi-year tie up that will fund research projects, PhD fellowships, and community events.

Amazons growing research and development operations in India have powered engagement with Alexa users in Hindi and Indic languages, and their AI/ML innovations have delivered increasingly delightful shopping experiences, said Rohit Prasad, Senior Vice President and head scientist at Alexa.

Amazon presently serves about 600 million people in India. Its research centre in Bengaluru helps solve conversational AI challenges stemming from Indias diversity22 official languages with over 19,500 dialects.

"This investment at one of the world's premier academic institutions will bring together Amazon scientists and IIT Bombay students and faculty, leveraging India's multilinguality as a learning lab, to develop new AI systems that can learn and adapt to different languages, accents and dialects. These efforts will help advance the technology fundamental to the future of conversational AI, says Prasad.

IIT Bombay ranks among the top engineering institutes in India and is known for producing cutting-edge research in AI/ML. With 45 full-time faculty members, its computer science and engineering department is one of the largest in the subcontinent.

Milind Atrey, IIT Bombays Dean of Research and Development

This collaboration will foster innovation in three ways: through community projects, research projects, and fellowships, which will indeed spur development in AI and ML domains, as well as other areas, as the relationship progresses, said Milind Atrey, IIT Bombays dean of Research and Development.

Amazon and IIT Bombay have existing ties through the Amazon Research Awards program. The most recent award was granted in 2022 to Preethi Jyothi, associate professor of computer science and engineering at IIT Bombay, for her work on fairness in speech recognition.

Subhasis Chaudhuri, Director at IIT Bombay

Our top research minds have always attracted the attention of companies interested in scientific study. With industry collaborators like Amazon who have a deep sense of technology and global reach, we hope to be able to expedite the deployment of technologies/products in the field of AI/ML, says Subhasis Chaudhuri, director at IIT Bombay.

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Amazon Collaborates with IIT Bombay to Advance Artificial ... - Amazon India Blog