data visualization
Data is the driving force for businesses all around the world. As we all become more reliant on digital technology, more and more data is generated. Since data...
cybersecurity
By Ankit Pahuja In the digital age, businesses are more vulnerable than ever to cyberattacks. Hackers can gain access to your confidential data, steal your...
cybersecurity in healthcare
By Adam Burns The pandemic has stretched healthcare facilities around the world to breaking point over the last 18 months, and even beyond it in...
Research
By Sravana Reddy and Ramya Ramakrishnan Task-oriented dialogue, an area of research within the broader field of conversational AI, is an exciting area centered around...
fitness tracker vs smartwatch
As more of us are adopting health-focused and on-the-run lifestyles, more people are purchasing devices that make their lives that much simpler and result in more fluent decision-making...
GPT-3 applications
Here's what you need to know about developing applications with OpenAI's GPT-3 API.
Remote work
Our digital landscape is still developing. One result of this is a rich variety of career opportunities. The sector is not expected to diminish any time soon. The...
Apple AirPods
By Luke Fitzpatrick Image Credit: Pixabay Apple AirPods are incredibly reliable and give users as much quality sound as they need. Unfortunately, many users will run into...
machine learning security for developers
Even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, one of the important concerns of ML applications.
machine learning challenges
Machine learning research and product development present several challenges that, if not addressed, can steer your project in the wrong direction. These tips will help you avoid these pitfalls.