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Softmax Activation Function for AI/ML Engineers

In the realm of machine learning and deep learning, activation functions play a pivotal role in neural networks' ability to make complex decisions and predictions. Among these, the softmax activation function stands out, especially in classification tasks where outcomes are mutually exclusive. This article delves into the softmax function, offering insights into its workings, applications, and significance in the field of artificial intelligence (AI). Softmax Activation Function Image credits: Towards Data Science The…

Accenture banks on AI-ML to deliver value to mining companies, ET Auto

Vinod Kumar Pathak, Managing Director and Lead - Industry X at Accenture IndiaChennai: Dublin-based Accenture is banking on Artificial Intelligence and Machine Learning-backed future-proof tools to serve the large mining companies in India. It is spending USD 3 billion on artificial intelligence"We have identified AI-ML based digital solutions implemented to deliver impact across all components of the mining value chain," Vinod Kumar Pathak, Managing Director and Lead -

Prompt Engineering Tutorial for AI/ML Engineers

The generative AI revolution has made significant progress in the past year, mostly in the release of Large Language Models (LLMs). It is true that generative AI is here to stay and has a great future in the world of software engineering. While models work amazingly well and produce advanced outputs, we can also influence models to produce the outputs we want. It's an art to make language models work to produce results/outputs as expected — and this is where prompt engineering comes into play. Prompts play a vital role in…

How to Pursue AI/ML Courses after BA: Eligibility and Options

Explore this BA’s guide to AI/ML courses: Eligibility and options As the demand for artificial intelligence (AI) and machine learning (ML) professionals continues to surge, individuals with a Bachelor’s degree find themselves exploring pathways to enter this dynamic field. Fortunately, a Bachelor’s degree doesn’t limit one’s ability to transition into AI/ML. You can pursue AI/ML courses after BA.  In this article, we will explore the eligibility criteria and various options available to pursue AI/ML courses…

Tech Funding: AI/ML and Cybersecurity

The IT landscape is undergoing a seismic shift, propelled by the twin engines of artificial intelligence (AI) and machine learning (ML) on one hand, and the ever-evolving threat landscape in cybersecurity and data breaches threat on the other. This digital revolution presents both challenges and opportunities for IT consultants, but navigating it successfully requires continuous learning and skill development. This is where tech funding for IT consultants emerges as a game-changer, offering critical fuel for career…

Smart Networks: The AI/ML Revolution in Telecom

The telecommunications industry has become an indispensable part of our interconnected society, fueling various functions ranging from traditional calls to lightning-fast Internet and the ever-expanding Internet of Things (IoT). With the constant evolution of this sector, the dynamic duo of AI and ML is revolutionizing the telecommunications industry, propelling it towards greater network efficiency, unparalleled customer service, and fortified security measures. These cutting-edge technologies equip telecom companies…

How to co-design software/hardware architecture for AI/ML in a new era?

A holistic view of designing efficient architecture for AI/MLState-of-the-art generative AI technologies in computer vision, natural language processing, etc. have been exploding recently with research breakthroughs on innovative model architectures including stable diffusion, neural rendering (NeRF), text to 3D, large language models(LLM), and more. These advanced technologies require more complex AI networks, and demand orders of magnitude more compute resources and energy-efficient architecture.To fulfill the…

AI/ML Tools and Frameworks – DZone

The realm of Artificial Intelligence (AI) and Machine Learning (ML) is rapidly transforming various industries, from healthcare to finance. In this digital era, the power of AI and ML is harnessed through a myriad of tools and frameworks, each offering unique capabilities and features. The right selection of these tools and frameworks is pivotal for the success of any AI/ML project. This guide serves as a comprehensive resource, aiming to compare and contrast the most prominent AI/ML tools and frameworks available today.…

Enhancing Observability With AI/ML – DZone

This is an article from DZone's 2023 Observability and Application Performance Trend Report.For more: Read the Report AIOps applies AI to IT operations, enabling agility, early issue detection, and proactive resolution to maintain service quality. AIOps integrates DataOps and MLOps, enhancing efficiency, collaboration, and transparency. It aligns with DevOps for application lifecycle management and automation, optimizing decisions throughout DataOps, MLOps, and DevOps. Observability for IT operations is a…

Cloud-Based AI/ML Services for IoT Edge Devices

The world of AI and ML is professing with leaps and bounds, and it wouldn’t be wrong to call them robust analytical tools for optimizing and analyzing immense volumes of data. Combining artificial intelligence and machine learning can help filter out the noise IoT devices collect so you can only access relevant data. Ranging from self-driving cars to active web search and speech recognition, there are various advancements that we’ve seen which are accredited to ML and AI. So, if you are ready to explore artificial…