#AIML

[kiraleighart]

IBM, 1979

[aiaccelerationist]

I have opened a Mastadon where I will do more frequent posting. Ping me if you want a follow as I need some cool feeds.

@aiaccelerationist@mastodon.social

[govindhtech]

Intel Tiber Developer Cloud, Text- to-Image Stable Diffusion

Check Out GenAI for Text-to-Image with a Stable Diffusion Intel Tiber Developer Cloud Workshop.

What is Intel Tiber Developer Cloud?

With access to state-of-the-art Intel hardware and software solutions, developers, AI/ML researchers, ecosystem partners, AI startups, and enterprise customers can build, test, run, and optimize AI and High-Performance Computing applications at a low cost and overhead thanks to the Intel Tiber Developer Cloud, a cloud-based platform. With access to AI-optimized software like oneAPI, the Intel Tiber Developer Cloud offers developers a simple way to create with small or large workloads on Intel CPUs, GPUs, and the AI PC.

- Advertisement -

Developers and enterprise clients have the option to use free shared workspaces and Jupyter notebooks to explore the possibilities of the platform and hardware and discover what Intel can accomplish.

Text-to-Image

This article will guide you through a workshop that uses the Stable Diffusion model practically to produce visuals in response to a written challenge. You will discover how to conduct inference using the Stable Diffusion text-to-image generation model using PyTorch and Intel Gaudi AI Accelerators. Additionally, you will see how the Intel Tiber Developer Cloud can assist you in creating and implementing generative AI workloads.

Text To Image AI Generator

AI Generation and Steady Diffusion

Industry-wide, generative artificial intelligence (GenAI) is quickly taking off, revolutionizing content creation and offering fresh approaches to problem-solving and creative expression. One prominent GenAI application is text-to-image generation, which uses an understanding of the context and meaning of a user-provided description to generate images based on text prompts. To learn correlations between words and visual attributes, the model is trained on massive datasets of photos linked with associated textual descriptions.

A well-liked GenAI deep learning model called Stable Diffusion uses text-to-image synthesis to produce images. Diffusion models work by progressively transforming random noise into a visually significant result. Due to its efficiency, scalability, and open-source nature, stable diffusion is widely used in a variety of creative applications.

- Advertisement -

The Stable Diffusion model in this training is run using PyTorch and the Intel Gaudi AI Accelerator. The Intel Extension for PyTorch, which maximizes deep learning training and inference performance on Intel CPUs for a variety of applications, including large language models (LLMs) and Generative AI (GenAI), is another option for GPU support and improved performance.

Stable Diffusion

To access the Training page once on the platform, click the Menu icon in the upper left corner.

The Intel Tiber Developer Cloud‘s Training website features a number of JupyterLab workshops that you may try out, including as those in AI, AI with Intel Gaudi 2 Accelerators, C++ SYCL, Gen AI, and the Rendering Toolkit.

Workshop on Inference Using Stable Diffusion

Thwy will look at the Inference with Stable Diffusion v2.1 workshop and browse to the AI with Intel Gaudi 2 Accelerator course in this tutorial.

Make that Python 3 (ipykernel) is selected in the upper right corner of the Jupyter notebook training window once it launches. To see an example of inference using stable diffusion and creating an image from your prompt, run the cells and adhere to the notebook’s instructions. An expanded description of the procedures listed in the training notebook can be found below.

Note: the Jupyter notebook contains the complete code; the cells shown here are merely for reference and lack important lines that are necessary for proper operation.

Configuring the Environment

Installing all the Python package prerequisites and cloning the Habana Model-References repository branch to this docker will come first. Additionally, They are going to download the Hugging Face model checkpoint.%cd ~/Gaudi-tutorials/PyTorch/Single_card_tutorials !git clone -b 1.15.1 https://github.com/habanaai/Model-References %cd Model-References/PyTorch/generative_models/stable-diffusion-v-2-1 !pip install -q -r requirements.txt !wget https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/ v2-1_512-ema-pruned.ckpt

Executing the Inference

prompt = input("Enter a prompt for image generation: ")

The prompt field is created by the aforementioned line of code, from which the model generates the image. To generate an image, you can enter any text; in this tutorial, for instance, they’ll use the prompt “cat wearing a hat.”cmd = f'python3 scripts/txt2img.py --prompt "{prompt}" 1 --ckpt v2-1_512-ema-pruned.ckpt \ --config configs/stable-diffusion/v2-inference.yaml \ --H 512 --W 512 \ --n_samples 1 \ --n_iter 2 --steps 35 \ --k_sampler dpmpp_2m \ --use_hpu_graph'

print(cmd) import os os.system(cmd)

Examining the Outcomes

Stable Diffusion will be used to produce their image, and Intel can verify the outcome. To view the created image, you can either run the cells in the notebook or navigate to the output folder using the File Browser on the left-hand panel:

/Gaudi-tutorials/PyTorch/Single_card_tutorials/Model-References /PyTorch/generative_models/stable-diffusion-v-2-1/outputs/txt2img-samples/Image Credit To Intel

Once you locate the outputs folder and locate your image, grid-0000.png, you may examine the resulting image. This is the image that resulted from the prompt in this tutorial:

You will have effectively been introduced to the capabilities of GenAI and Stable Diffusion on Intel Gaudi AI Accelerators, including PyTorch, model inference, and quick engineering, after completing the tasks in the notebook.

Read more on govindhtech.com

[dronacharyacollege]

Placement in  Telaverge Communications India Pvt. Ltd. - Harsh Vatsal

We are excited to share that Harsh Vatsal, a dedicated student from the Batch of 2020-2024, CSE (AIML), at Dronacharya College of Engineering, has been selected by Telaverge Communications India Pvt. Ltd.! 🏆✨ Your hard work, dedication, and expertise in AI and ML have led you to this incredible achievement. We're so proud of you and can't wait to see all the amazing things you'll accomplish in your new role.

[tania-arora]

From Raw Data To Insights: Transforming Data With Annotation Services

Data annotation services are the bedrock of AI and ML advancements, transforming raw data into valuable insights. Let’s delve into the world of data annotation services, exploring techniques, best practices, and the transformative power they wield. EnFuse Solutions, with its expertise and commitment to excellence, plays a pivotal role in this transformative process. Get in touch now to explore more!

[sgnog]

𝗙𝗥𝗢𝗠 𝗙𝗔𝗦𝗧 𝗧𝗢 𝗙𝗔𝗦𝗧𝗘𝗥

#SGNOG11 takes you through a journey through 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 transceiver technologies, backbone infrastructures and 𝗔𝗜/𝗠𝗟 connectivity. 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://www.sgnog.net/?page_id=7025

[sirtbhopal]

Close Campus Drive at SIRT College

Close Campus Drive @SIRT✨

Company Name: Argusoft - Quality on Time Qualification: B.Tech/CSE/CSIT/AIML/AIDS/CYBER/MCA Batch: 2025 Batch Date: 9th August 2024 Package: 7.12 LPA

[classroomlearning]

Unlocking the Future: MTech in Artificial Intelligence and Machine Learning at Brainware University

Apply Here -

In an era where technology is advancing at lightning speed, Computer Science and Engineering stands as a beacon of innovation and opportunity. As industries around the globe embrace the transformative power of Artificial Intelligence (AI) and Machine Learning (ML), the demand for skilled professionals in these fields has never been higher. If you're passionate about diving into these cutting-edge technologies and shaping the future, Brainware University's MTech program in AI and ML is your gateway to success.

Programme Overview: A Pathway to Technological Excellence

Brainware University's MTech in Artificial Intelligence and Machine Learning is a two-year postgraduate program designed to immerse students in the world of advanced computing technologies. As one of the leading private universities in West Bengal, Brainware offers a comprehensive curriculum that covers the latest trends and developments in the field. From deep learning and neural networks to natural language processing and computer vision, the program ensures that students gain a thorough understanding of AI and ML technologies.

Syllabus Outline: A Deep Dive into Cutting-Edge Technologies

The curriculum for the MTech in AI and ML at Brainware University is meticulously designed to provide students with both theoretical knowledge and practical experience. Key topics include:

Deep Learning: Explore advanced neural networks and their applications.

Natural Language Processing: Understand how machines process and interpret human language.

Computer Vision: Delve into techniques for enabling machines to interpret visual data.

Data Analytics: Learn how to analyze and interpret complex datasets.

This rich syllabus is complemented by hands-on projects and research opportunities, ensuring that students are well-equipped to tackle real-world challenges.

Fees and Eligibility: Invest in Your Future

Pursuing an MTech in AI and ML at Brainware University is a valuable investment in your future. The program offers a competitive fee structure, designed to provide top-notch education while remaining affordable. Eligibility criteria typically include:

Bachelor's Degree: A relevant undergraduate degree in Computer Science, Engineering, or a related field.

Entrance Examination: Performance in a relevant entrance exam or academic records as specified by the university.

For detailed information on fees and specific eligibility requirements, prospective students are encouraged to visit the university’s official website or contact the admissions office.

Career Options: Paving the Path to Success

Graduates of the MTech in AI and ML program are well-prepared to embark on exciting career paths in various sectors. Potential roles include:

Business Intelligence Developers: Designing and implementing strategies for data-driven decision-making.

Big Data Engineers: Managing and analyzing large datasets to extract valuable insights.

Robotic Scientists: Developing intelligent systems and robots for various applications.

The skills gained through the program open doors to numerous opportunities in tech-driven industries and research institutions.

Salient Features: A Comprehensive Learning Experience

Brainware University’s MTech program stands out due to its commitment to providing a holistic learning experience. Key features include:

State-of-the-Art Infrastructure: Modern facilities equipped with the latest technology.

Global Learning: Exposure to international trends and practices in AI and ML.

Pre-Placement Training: Support in preparing for job interviews and securing employment.

360-Degree Placement Support: Comprehensive assistance in job placement to ensure a smooth transition into the professional world.

Admission Procedure: How to Get Started

The admission process for the MTech in AI and ML involves several steps:

Application: Submit your application form along with the required documents.

Entrance Exam: Clear the entrance exam as per university guidelines.

Interview: Participate in an interview if required.

Selection: Await the admission decision and complete the enrollment process.

For detailed instructions and deadlines, refer to the university’s admission portal.

Departmental Achievements: Excellence in Education

Brainware University’s Department of Computer Science and Engineering is renowned for its contributions to the field of AI and ML. The department boasts numerous research publications, industry collaborations, and successful alumni who have made significant impacts in their respective fields.

Placement Highlights: Success Stories

The MTech in AI and ML program has a strong track record of successful placements. Graduates have secured positions in leading tech companies, research labs, and innovative startups. The university’s robust placement support system plays a crucial role in facilitating these successful outcomes.

Conclusion: Embark on Your Journey of Innovation

If you're ready to explore the fascinating world of Artificial Intelligence and Machine Learning, Brainware University's MTech program offers a gateway to advanced knowledge and career success. With its cutting-edge curriculum, state-of-the-art infrastructure, and dedicated support services, Brainware University stands out as a premier choice for aspiring tech professionals. Embrace the future of technology and position yourself at the forefront of innovation with an MTech in AI and ML from Brainware University.

[techwave1]

Stay ahead of the game in Retail & CPG with Techwave's AI-driven insights. Discover the power of our advanced AI/ML and data analytics services to gain a competitive edge in the industry. Find out more about how we can transform your business. To learn more, click here →https://techwave.net/digital-transformation-services/data-and-analytics/

[arnav-malhotra-blogs]

Driving Innovation: The Role Of AI And ML Enablement Services In Technology Advancements

In this blog, we will explore the key aspects of AI ML enablement services and their role in driving innovation in the tech industry. EnFuse Solutions’ comprehensive suite of services, including AI automation solutions and AI-driven decision-making tools, is enabling businesses to unlock the full potential of AI and ML.

[stevensaus]

Just moments ago (6 Jun 2024, 1715 EST), I saw a Techspot story on Facebook, which I shared. It was removed within a minute. What was the story? How Meta is using Facebook and Instagram posts to train its AI. If you do want to opt out, first go to this help page and click on the section that states, "I want to object to or restrict the processing of my personal information from third parties used for building and improving AI at Meta." However, for them to honor the request, you have to demonstrate that their AI already has your information, including prompts and a screenshot. Given that they deleted a post about it so quickly that it must be automated to some degree, and that they're putting the burden of proof on the user to somehow prove their AI has already scraped your data, it's bad faith all around. More context at the BBC, Business Insider, and Mashable. Featured Image by Lukas from Pixabay https://ideatrash.net/2024/06/facebook-is-removing-posts-about-its-ai-scraping-policies.html?feed_id=93&_unique_id=66622af9dd452

[kiraleighart]

alert: go to your goddamn Adobe account and turn this trashy AI scraping crap off

[description of screenshot: Adobe Account settings page

"Content analysis: Adobe may analyze your content using techniques such as machine learning (e.g., for pattern recognition) to develop and improve our products and services. If you prefer that Adobe not analyze your files to develop and improve our products and services, you can opt out of content analysis at any time. This setting does not apply in certain limited circumstances." Opt-in button in the "on" state (this is automatic for all accounts, please, please go turn it off): "Allow my content to be analyzed by Adobe for product improvement and development purposes."

[yredgeconsulting]

Understanding Machine Learning and Big Data in Today's World

Machine learning is a branch of artificial intelligence wherein computers make predictions based on patterns that they have directly observed from data, without the need for explicit programming. This definition makes clear that machine learning is a branch of artificial intelligence. Since terminology like machine learning algorithms, artificial intelligence, deep learning, and even data science are frequently used interchangeably, let’s take a closer look at definitions.

[govindhtech]

Google Cloud Computing Careers in 2024: Trends and Prospects

Cloud Computing Careers

The cloud computing business is predicted to grow rapidly, offering IT experts several Google  Cloud Computing Careers opportunities. Despite companies adopting cloud infrastructures, demand for cloud experts is higher than ever. This article highlights 2024’s top cloud computing trends, job openings, and essential skills, certifications, and duties.

Important Developments in Google Cloud Computing Careers

Multi-Cloud/Hybrid  Cloud Adoption

Commercial businesses are adopting multi-cloud and hybrid-cloud methods to boost flexibility, decrease risk, and minimize costs. More experts that can manage intricate cloud systems and combine services from many providers are needed as a result of this change.

Pay Attention to Security

Any organisation using cloud services must priorities security due to rising a cyberthreats. Cloud security experts are in demand to protect sensitive data and comply with rules.

The Expansion of Edge Computing

Edge computing is becoming more and more popular. It involves processing data closer to the source rather than in a central data centre. Professionals that install and manage edge computing solutions with proficiency will now have additional responsibilities.

 Cloud AI and Machine Learning Growth  AI, machine learning, and cloud platforms are changing several industries. For maintaining and creating intelligent apps, cloud experts with ML and  AI knowledge are in demand.

Automation together with DevOps

Professionals with infrastructure as code, continuous integration, and continuous deployment skills are in great demand, as automation and DevOps are currently at the heart of every effective cloud operation. Containerization expertise is also in high demand.

Cloud Computing On-Demand Positions

 Cloud Solutions Architect

At the request of a single organisation, the cloud solutions architect creates customized cloud solutions while guaranteeing scalability, dependability, and security. Additional prerequisites include proficiency with Google Cloud, Azure, or AWS.

Engineer for  Cloud Security

Cloud security experts design safety measures that monitor vulnerabilities and guarantee adherence to industry standards, protecting cloud environments against security breaches.

An engineer for DevOps

With the use of tools like Docker, Kubernetes, and Jenkins for more efficient cloud operations, DevOps engineers close the gap between development and operations teams through process automation, continuous integration, and continuous deployment pipeline management.

Engineer for Cloud Data

Designing, putting into place, and maintaining data processing systems on cloud platforms is the responsibility of cloud data engineers. To ensure prompt data management, they employ ETL, various databases, and big data technologies.

Cloud Engineer AI/ML  Cloud Cloud-based machine learning and artificial intelligence models are created and implemented by AI/ML engineers. To create intelligent apps, they make use of technologies like TensorFlow, PyTorch, and cloud-based ML services.

Skills Needed for Google Cloud Computing Careers

Proficiency in  Cloud Platforms

Large clouds like Google Cloud, Microsoft Azure, and Amazon Web Services are crucial. The majority of cloud occupations demand knowledge of their best practices, tools, and services.

Security Proficiency

It is essential to understand the fundamentals of cloud security, IAM, encryption, compliance, etc. AWS Certified Security Specialty and Certified Cloud Security Professional (CCSP) certifications are quite beneficial.

DevOps and Automation Expertise

IaC, containerization, scripting, automation tooling, and IaC are highly desirable. To that end, it is recommended to learn about automation tools, Python, Bash, Terraform,  Cloud Formation, Docker, and Kubernetes.

Analysis and Management of Data

Big data technology, data processing, and data storage are necessary for Google  Cloud Computing Careers like cloud data engineers and cloud AI/ML engineers.

Database knowledge is crucial: SQL versus NoSQL, pipelines for data.

 Artificial Intelligence and Machine Learning

Exposure to frameworks and methods for machine learning For the cloud AI/ML function, TensorFlow, PyTorch, together with cloud-based ML services like AWS SageMaker, Google  AI Platform, would be quite significant.

Top Cloud Computing Certifications for 2024

Associate in Amazon Certified Solutions Architecture

This certification attests to your proficiency in developing and implementing scalable AWS systems. It works well for architects of cloud systems and professionals in general who want to show off their proficiency with AWS.

Expert in Microsoft Azure Solutions Architecture

Because the candidate will have experience planning and executing on Microsoft Azure, it is especially appropriate for individuals who aspire to become outstanding Azure solution architects.

The Professional  Cloud Architect from Google

This certification demonstrates your ability to plan, create, and oversee Google Cloud solutions. For individuals that are passionate about GCP specialization, it’s always the best choice.

Professional with Certification in  Cloud Security CCSP The CCSP is derived from (ISC)2 and is primarily concerned with cloud security principles and best practices. This implies that it is intended for experts who want to improve their knowledge of cloud security.

Professional DevOps Engineer Certified by AWS

Your proficiency with automation, monitoring, and CI/CD pipeline management on AWS is validated by this certification. For DevOps engineers working in AWS settings, it’s ideal.

Google  Cloud Computing Careers many cloud technology jobs. Here are some significant Google  Cloud roles:

Cloud engineers develop, manage, and scale high-performance cloud technology. Priorities are IaC, automation, and orchestration.

Experience with Terraform, Kubernetes, Docker, CI/CD pipelines, Python, Go, Java, and GCP.

 Cloud architects offer business-specific, scalable, reliable, and inexpensive cloud solutions.

Coordinate cloud plans with stakeholders

Expertise in cloud services, architecture frameworks, microservices, API administration, and problem-solving. Google  Cloud Computing Careers Cloud Architect certifications help.

Cloud Developer Duties: Create and manage cloud-based applications. Integrate front-end and back-end components with cloud APIs. Skills: Python, Java, Node.js, cloud-native development, and Google App Engine, Cloud Functions, and Cloud Storage experience.

Data Engineer Design: Data Engineer Design and implement Google  Cloud data processing systems. Input, transform, and store analytics and machine learning data. Skills: Data warehousing, ETL, big data tools (Apache Beam, Dataflow, BigQuery), and SQL, Python, or Java programming.

DevOps Engineer Duties: Manage CI/CD pipelines, automate infrastructure provisioning, and optimize deployment on Google  Cloud. Knowledge of DevOps, Kubernetes, Jenkins, GitLab, and cloud monitoring and logging tools.

Cloud Security Engineer: Ensure cloud infrastructure and application security. Implement security best practices, analyse risk, and handle events. Skills: Cloud security frameworks, encryption, IAM, network security, and security tools and technologies.

Site dependability Engineer (SRE) Duties: Ensure cloud service dependability, availability, and performance. Set up monitoring, alerting, and incident response. Skills: System administration, Python, Bash scripting, Prometheus, Grafana monitoring, and large-scale distributed system experience.

 Cloud Consultant: Provide advice on cloud strategies, migrations, and implementations. Offer best practices and industry standards experience. Communicate well, comprehend cloud services, manage projects, and understand business needs.

Machine Learning Engineer Duties: Create and deploy machine learning models on Google  Cloud. Develop scalable  AI solutions with data scientists. Python or R expertise, TensorFlow, PyTorch, and cloud ML tools ( AI Platform, AutoML).

Read more on Govindhtech.com

[dronacharyacollege]

Internship at Electrical & Electronics Metrology division of CSIR National Physical Laboratory, New Delhi- Suman Choudhury

Dronacharya College of Engineering, Gurugram extend heartfelt congratulations to Suman Choudhury, AIML student, for securing a prestigious internship position at the Electrical & Electronics Metrology division of CSIR National Physical Laboratory, New Delhi! Suman's achievement is a testament to their hard work, dedication, and exemplary skills in the field. This opportunity not only recognizes Suman's talent but also reflects the high academic standards and practical training offered at Dronacharya College of Engineering. Dronacharya immensely proud of Suman's accomplishment and wish her continued success in their future endeavors.

[health-product992]

A.I TubeMonetizer: Automatically Create And Rank Videos On YouTube 1st Page

Introduction:

I use the following product, A.I TubeMonetizer, to amplify my YouTube marketing efforts. This ingenious tool promises to revolutionize content creation and video ranking on the platform. With its automated features and promise of securing a spot on the coveted first page of YouTube search results, I delved into the world of A.I TubeMonetizer with high expectations.

Ease of Use:

One of the standout features of A.I TubeMonetizer is its user-friendly interface. Navigating through the platform is a breeze, even for those with limited technical expertise. The intuitive design ensures that tasks such as video creation, optimization, and ranking can be accomplished with minimal effort. This accessibility makes it a valuable asset for both seasoned marketers and newcomers alike.

Automated Video Creation:

A.I TubeMonetizer excels in its ability to streamline the video creation process. Through advanced algorithms, the software generates engaging videos tailored to specific niches and keywords. From compiling relevant content to incorporating eye-catching visuals, the automation aspect significantly reduces the time and effort typically required for content creation. This not only enhances efficiency but also ensures consistent output quality.

Optimization Strategies:

Central to A.I TubeMonetizer's appeal is its emphasis on optimization strategies. Leveraging artificial intelligence, the platform meticulously analyses keywords, trends, and user behaviour to craft content that resonates with target audiences. By implementing SEO techniques tailored for YouTube, such as title and description optimization, A.I TubeMonetizer maximizes the visibility and discoverability of videos. This strategic approach increases the likelihood of securing top rankings on the platform.

Ranking on the First Page:

The ultimate promise of A.I TubeMonetizer is its ability to propel videos to the coveted first page of YouTube search results. Through a combination of targeted content creation and optimization techniques, the platform aims to outshine competitors and capture the attention of viewers. While achieving this feat is not guaranteed and may depend on various factors, including niche competitiveness, A.I TubeMonetizer equips users with the tools needed to stand out in a crowded digital landscape.

Analytics and Performance Tracking:

A.I TubeMonetizer goes beyond mere content creation and ranking by offering comprehensive analytics and performance tracking features. Users gain valuable insights into the effectiveness of their campaigns, allowing for data-driven decision-making and continuous improvement. From monitoring viewer engagement to tracking conversion rates, these analytical tools empower marketers to refine their strategies and maximize their ROI.

Support and Community:

In addition to its robust features, A.I TubeMonetizer boasts a supportive community and dedicated customer support team. Whether seeking technical assistance or sharing insights with fellow users, individuals can rely on a network of like-minded professionals for guidance and encouragement. This sense of camaraderie fosters collaboration and knowledge exchange, further enriching the user experience.

Conclusion:

In conclusion, A.I TubeMonetizer emerges as a game-changer in the realm of YouTube marketing. With its intuitive interface, automated features, and emphasis on optimization, the platform empowers users to create compelling videos and secure top rankings on the platform. While success may vary depending on various factors, the potential for elevating one's YouTube presence is undeniable. For marketers seeking to gain a competitive edge in the digital landscape, A.I TubeMonetizer proves to be a valuable ally in achieving their goals.