Some of the common traits of modern web applications are high scalability, high availability and great user experience. These applications need to be accessed from anywhere in the world with low latency and should be highly secured. They also should be rendered on multiple device types and provide an omni-channel experience. And the story doesn’t end there. They can be made more ‘engaging’ by leveraging cognitive (artificial intelligence/ machine learning) services. The goal is that an application needs to understand the user just like a human being and provide great overall user experience. With cognitive services, the application can see, hear, speak, understand, interpret and decide!
Characteristics of cognitive systems
Cognitive systems use data from different systems, understand context and try to provide the best possible response. They use machine learning and artificial intelligence techniques to achieve this.
They iterate over a rich wealth of knowledge to provide the best possible answer. They also need ‘meaningful’ interactions with the user as the responses depend on the relative dimension of understandability of user context by the cognitive service.
This story is from the {{IssueName}} edition of {{MagazineName}}.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber ? Sign In
This story is from the {{IssueName}} edition of {{MagazineName}}.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber? Sign In
Helgrind: Detecting Synchronisation Issues in Multithreaded Programs
Let's explore how Helgrind can be used to detect and debug multithreading issues with the help of a multithreaded C program.
The Perfect Process of Booting a PC
Booting a PC seems as simple as eating a cake. But are you aware of all that goes on behind-the-scenes to bake a delicious cake or seamlessly boot a PC?
Exploring eBPF and its Integration with Kubernetes
eBPF, a game-changing technology that extends the capabilities of the Linux kernel, offers significant advantages for Kubernetes networking. It also greatly improves Kubernetes observability by capturing detailed telemetry data directly from the kernel. Read on to find out how its integration with Kubernetes has immense benefits.
Deploying Generative AI LLMs on Docker
Built on massive datasets, large language models or LLMS are closely associated with generative Al. Integrating these models with Docker has quite a few advantages.
Containerisation: The Cornerstone of Multi-Cloud and Hybrid Cloud Success
Open source containerisation software provides the flexibility, cost-effectiveness, and community support needed to build and manage complex multi-cloud and hybrid cloud environments. By leveraging this software, businesses can unlock the full potential of multicloud and hybrid cloud architectures while minimising vendor lock-in risks.
From Virtual Machines to Docker Containers: The Evolution of Software Development
Containerisation and Kubernetes have eased software development, making it faster and better. Let's see where these are headed, looking at trends that are making life easier for developers.
India's Leap in Supercomputing: Innovating for Tomorrow
As India strides towards self-sufficiency in supercomputing, embracing this evolution isn't just an option-it is pivotal for global competitiveness and technological leadership.
SageMath: A Quick Introduction to Cybersecurity
In the previous articles in this SageMath series, we delved into graph theory and explored its applications using SageMath. In this seventh article in the series, it is time to shift our focus to another crucial subfield of computer science: cybersecurity and cryptography.
Efficient Prompt Engineering: Getting the Right Answers
OpenAl's GPT-3 and GPT-4 are powerful tools that can generate human-like text, answer questions, and provide insights. However, the quality of these outputs depends heavily on how you frame the input, or prompt. Efficient prompt engineering ensures you get the right answers by designing inputs that guide the AI towards relevant, clear, and useful responses. Let's find out how to craft effective prompts with examples.
Analysing Linus Torvald's Critique of Docker
This article looks at Docker's security flaws, particularly its shared-kernel model, and contrasts it with traditional VMs for better isolation. It discusses Linus Torvalds' concerns, explores mitigation techniques, and proposes a roadmap for building a more secure containerisation platform using hardware-assisted virtualisation, true isolation, and a robust orchestration layer.
