New Delhi, Dec 26 (PTI) As technological advancements like AI, machine learning and precision medicine revolutionise drug discovery, manufacturing and patient care, Indian pharmaceutical industry is set for a 'profound transformation' in 2025 with innovation, wider global access and improvement in quality becoming key themes for the future.

India's pharmaceutical industry is poised for a dramatic transformation by 2025, driven by AI, machine learning, and precision medicine. Discover how innovation, global access, and quality improvement are shaping the future of Indian pharma.

As these platforms mature, we can expect to see increasingly sophisticated applications in fields such as healthcare, finance, and scientific research. The combination of blockchain's security and transparency with AI's analytical capabilities creates possibilities for solving complex problems in ways previously not possible.

Here's one definition of science: it's essentially an iterative process of building models with ever-greater explanatory power.

Artificial intelligence has transformed from a futuristic concept into reality, powered by machine learning innovations that are reshaping industries globally.

Observability startup Coralogix Ltd. announced today that it has acquired machine learning observability startup Aporia Technologies Ltd. for an undisclosed sum.

In this digital era, the convergence of cutting-edge technologies continues to reshape the enterprise infrastructure landscape. Data centers, once managed through traditional manual processes, are undergoing a radical transformation driven by artificial intelligence and machine learning innovations.

Complex data center workloads like training machine learning models and running artificial intelligence (AI) applications would take a very long time if powered only by central processing units (CPUs).

King’s College London researchers found that AI-based aging clocks using blood metabolite data can predict health and lifespan, with accelerated aging linked to higher health risks. Non-linear machine learning algorithms,

Demand for workers with AI skills is likely to continue to grow in 2025 as tech and non-tech firms seek workers in areas from sales to implementation.

Niloy Gupta, Machine Learning Engineer Tech Lead at Attentive Mobile, is an expert in scaling machine learning systems for various industry verticals

Formula One teams are looking to artificial intelligence to optimize strategy and improve racing performance on tracks around the world.