Introduction Ranking high on search engines is a constant challenge. With algorithm updates, evolving search trends, and increasing competition, achieving and maintaining a top position requires continuous effort.

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients, could enable doctors to identify high-risk women earlier,

With proper data governance, the pharma industry can improve patient-centricity in trials and bring lifesaving therapies to market quickly and safely.

Firstly, AI systems do not learn from any specific experiences, which would allow them to understand things the way we humans do. Rather they “learn” by encoding patterns from vast amounts data – using mathematics alone. This happens during the training process, when they are built.

You may confess your deepest fears to a chatbot that never judges you. But what happens when an algorithm becomes your closest confidant? Consider the dark side of AI “empathy.”

Encryption would normally be expected to slow down computation, but applying the tools of cryptography to "trick" an algorithm can actually make it work faster

Advertisers are grappling with trade-offs of AI-powered ad planning and buying tools for automating nearly every step in digital ad campaigns.

More women participation at all levels of algorithm design and model training, along with monitoring, assessment and providing feedback to deployed systems is the only way to ensure fairness in the systems.

AI is reshaping the food industry, engineering hyper-palatable foods that override hunger signals and manipulate cravings. Is this optimization or addiction?

The average employee is happy to let AI summarize their emails and take notes for them in meetings, but should they be as willing to entrust a chatbot with their mental health? While AI programs and chatbots have helped increase access to mental health resources through apps and digital platforms,

New brain-inspired hardware, architectures and algorithms could lead to more efficient, more capable forms of AI.

Empathy is often described as "walking in another’s shoes." We draw from our own lived experiences to understand suffering, joy, and nuance. AI, however, lacks personal experience. It distills vast amounts of human interaction into predictive models, but it does not feel. The richness of human emotion remains AI’s greatest shortcoming.