Is the ‘healthy diet’ similar for men and women? A recent study conducted by researchers at the University of Waterloo in Canada highlights some interesting data regarding the differences in diet requirements and metabolism in males and females.One of the key results...
Health
Research confirms the dangerous after-effects of COVID-19 on heart
A new research published in the journal Arteriosclerosis, Thrombosis, and Vascular Biology, has highlighted the association between COVID-19 with acute risk of major adverse cardiac events (MACE), including myocardial infarction, stroke, and overall...
AI in Identity Management: Enhancing Security, Compliance, and Efficiency
Artificial intelligence (AI) is often associated with risks like deepfakes and misinformation, but when leveraged properly, it can bring tremendous benefits to organizations across various domains, especially in cybersecurity. One of AI's most transformative roles...
Let’s Understand M-pox
M-pox is in news all around. WHO has declared this outbreak as an emergency of international concern. So, here is what you need to know about this disease- Cause: M-pox is a viral illness caused by the monkey-pox virus Transmission: It is transmitted to humans through...
Study Links Noise And Air Pollution To Infertility
A recent study published in the BMJ has highlighted the relationship between noise exposure to female infertility and that of air pollution with male infertility. This study included 526,056 men and 377,850 women aged 30 to 45, who were married or cohabiting and had...
Snoring & Sleep Apnea- More Than A Sleep Issue
Snoring & Sleep Apnea : More Than A Sleep Issue Are you often sleepy during the day? Is there someone who snores in your family? Is your child not concentrating in activities like he/she used to? This might be sleep apnea! Sleep apnea affects 39 million adults in...
Generative Models of Images and Neural Networks
Generative models, powered by neural networks, are transforming how computers create images from scratch. Techniques like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) have enabled machines to generate highly realistic visuals by learning patterns in vast datasets. These models have diverse applications, from AI-generated art to medical imaging and data augmentation. However, challenges like ethical considerations and security risks, such as deepfakes, must be addressed to ensure responsible use of these technologies. Explore the future of generative models in AI-driven innovation.