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जनरेटिव्ह एआयचा वापर दहशतवाद्यांकडून मोठ्या प्रमाणावर

संकटाच्या अंदाजापासून ते सहाय्य वितरणापर्यंत, AI मानवताव

With terrorists increasingly leveraging generative AI, the EU has swiftly incorporated AI into its counterterrorism strategy, ensuring a balance betwe

From crisis prediction to aid distribution, AI is reshaping humanitarian efforts, but challenges like bias, privacy, and accountability remain

केंद्रीय बैंक बहुत सावधानी से AI को अपने काम के साथ जोड़ रह�

As cyber threats in recent times increasingly leverage Artificial Generative Intelligence, the integration of LLMs into cybersecurity cannot wait.

ज्या तंत्रज्ञानाबाबत प्रश्न विचारले जात आहेत ते तंत्रज�

It is difficult and highly impractical for any AI regulation to be effective if the technology in question is hidden behind black boxes, be it trainin

भारतीय लष्कराच्या क्षमतांमधील अंतर भरून काढण्यासाठी STEAG

The STEAG is a step in the right direction to ensure effective communications and bridge the gaps in the Indian Army’s capabilities

A comprehensive and conscientious approach to ensure the ethical and considerate mainstream integration of AI technologies is imperative

The fluctuations seen in oil prices make it an interesting example of an economic variable—even if we understand it, we would be completely unable t

A user-centric bottom-up approach to ethics in AI could be the answer to regulating AI innovation that is usually too fast and dynamic for a central r

Machine learning allows us to replicate past patterns at an astonishing rate, we should work towards not replicating past mistakes and patterns

The reforms of 1991 were designed for a different technological frontier than what faces India in 2021.

To offset risks and disruptions, it should now become a priority for ISRO to pursue pre-launch automation with greater vigour.

Despite the hype, some of the biggest impacts from the use of AI and applied machine learning in the defence context are mundane.

Policy makers are asked to worry deeply about how workers will deal with the costs of reskilling if they aren’t paid for the duration of the reskill

Reskilling is all the rage as toilers of every creed scramble to upgrade skills so that they can remain valuable when tasks most suitable to machine l

Is what we commonly call artificial intelligence really that or is it something else being called AI simply to push the idea of forward progress? This

Want to future proof your job? Embrace machine learning and you’ll likely stay ahead of your colleague who chose to take a ringside seat, says Erik

The progress of AI has been attributed to three main factors — the availability of Big Data from sources such as social media, e-commerce, governmen

Artificial Intelligence (AI) has led to a fundamental shift in the human-machine interface, with massive implications for the future. AI today has known applications across multiple domains—including agriculture, defence, healthcare, finance, manufacturing, and nuclear energy—and the potential appears limitless. Justifiably then, the discourse surrounding AI is becoming increasingly more vibrant. Yet, the inner workings of AI are often shroud

Artificial Intelligence (AI) has already made inroads into healthcare. The increasing availability of healthcare data has allowed for the deployment of powerful AI techniques to assist drug development as well as clinical practice. These run the gamut from machine learning (ML) techniques that analyse structured data, to natural language processing (NLP) that can extract meaningful information from unstructured data, such as doctors’ notes. Thi

Quantum computing (QC) forms one of the cornerstones of emerging technologies as we know them today. The technology has seen rapid progress over the years, but practical hurdles remain. The recent boom in Artificial Intelligence and the corresponding boost it has provided to classical algorithms also presents an additional hurdle for quantum algorithms. Countries like the United States, China, and Canada have made significant strides in QC and ha

Artificial Intelligence (AI) is emerging as a promising solution to the challenges of inefficiency and high compliance costs in the fight against money laundering. This brief examines the capabilities, benefits, and challenges of AI in the context of detecting and preventing financial crime. The brief explores the ways in which AI can aid anti-money laundering efforts, particularly by reducing compliance costs and enhancing efficiency. The findin

चौथ्या औद्योगिक क्रांतीने वेग घेतला आहे. यात डिजिटलायाझेशन आणि ऑटोमेशन हे दोन कळीचे मुद्दे ठरतील. त्यामुळे कामगारांना ही कौशल्ये देणे, महत्त्वाचे ठरणार आहे.