Regulation can tell us what AI must not do. It says far less about what AI should do. Exploring the ethical gaps that remain in today’s governance frameworks.
By Samudrapom Dam
11 Mar 2026
AI systems learn from billions of human traces online—but most people never agreed to it. This article explores the ethics, law, and hidden costs of AI training data.
By Ankit Singh
4 Mar 2026
Why can AI write code but struggle with balance? Explore how Physical AI bridges the gap between digital intelligence and the real world.
By Ankit Singh
26 Feb 2026
How do industrial robotic arms and cobots really differ at the control level? A closer look at motion control, kinematics, sensing, and collaborative safety.
By Samudrapom Dam
23 Feb 2026
Ethical implications of AI deepfakes extend to scientific integrity, raising concerns about trust in digital evidence and the potential for misinformation.
By Ankit Singh
12 Feb 2026
AI, genomics, robotics, and digital diagnostics in England’s National Cancer Plan, enabling earlier cancer detection, faster pathways, and personalized treatment.
By Bethan Davies
9 Feb 2026
What happens when deep learning meets immunology? From spike proteins to trial protocols, explore how AI is influencing the way vaccines are designed, tested, and delivered.
By Ankit Singh
4 Feb 2026
Deep learning techniques offer significant advancements in predicting chronic disease progression, enhancing early detection and individualized treatment plans.
By Samudrapom Dam
28 Jan 2026
This article explores how AI tools are being used to simplify insulin decisions and support better glucose control in real life.
By Ankit Singh
21 Jan 2026
Alzheimer’s AI is getting more accurate—but can we trust it? Explore how researchers are making models more explainable and clinically usable.
By Ankit Singh
14 Jan 2026