AI: A Threat or an Ally for Crypto Security?

Artificial intelligence is giving crypto security teams new ways to identify suspicious transactions, detect unusual wallet activity, and respond to potential threats. At the same time, scammers can use AI to create convincing impersonations, phishing messages, and fraudulent investment promotions. The technology can therefore strengthen security while making certain attacks harder to recognise. The real challenge is staying ahead of threats as both sides adopt more advanced tools.

Can AI Build a Better Crypto Portfolio Than Humans?

Artificial intelligence is increasingly being used to analyse market trends, monitor on-chain activity, assess risk, and suggest portfolio allocations. Supporters believe AI can remove emotional bias and make data-driven decisions, while critics argue that crypto markets are too unpredictable for algorithms alone. Could AI eventually become the preferred portfolio manager for crypto investors?

AI Is Changing Crypto Faster Than We Expected

Artificial intelligence is no longer limited to trading bots. Today, AI is being used for smart contract audits, fraud detection, portfolio management, blockchain analytics, and even autonomous on-chain agents. While supporters believe AI could make crypto safer and more accessible, others worry it could increase centralisation and create new security risks. As AI becomes more deeply integrated into blockchain, will it accelerate crypto adoption or introduce more challenges than solutions?

Tim Cook had a talk with EU not to release Siri AI

Apple CEO Tim Cook just held "constructive" talks with the EU, where they have agreed not to release Siri AI to Europeans among iPhone and iPad users. Don’t you think those people are missing out on a major loss on these artificial intelligence features?

Is the Crypto Industry Ready to Let AI Agents Handle Trades?

Artificial intelligence is quickly becoming a part of the crypto ecosystem, with AI-powered agents now capable of analysing market data, identifying trends, and even executing trades automatically. Supporters believe AI can react faster to market movements as compared to humans. Critics, however, argue that crypto markets remain highly unpredictable, and relying too heavily on AI could introduce new risks, especially when it comes to trading that sometimes require instincts more than anything else.

Understanding AI Large Language Models

@Pankaj Bisht @Pankaj ShuklaArtificial Intelligence (AI) has rapidly evolved over the past decade, and one of its most transformative innovations is the development of Large Language Models (LLMs). These models have revolutionized how humans interact with machines, enabling natural, conversational, and context-aware communication.
What Are Large Language Models?
Large Language Models (LLMs) are advanced AI systems trained on vast amounts of text data to understand, generate, and manipulate human language. They are built using deep learning techniques, particularly neural networks based on the Transformer architecture.

The Rise of AI Mobile: How Artificial Intelligence is Redefining the Smartphone Experience in 2026.What is Smart Mobile?

Artificial Intelligence (AI) is no longer a futuristic concept — it is now deeply embedded inside our smartphones. From intelligent cameras to real-time language translation, AI-powered mobile technology is transforming how we communicate, work, create content, and manage our daily lives.
In 2026, AI Mobile is not just a feature — it is the core of the smartphone ecosystem.
What is AI Mobile?
AI Mobile refers to smartphones that use advanced artificial intelligence directly on the device (on-device AI) or through cloud-based processing to enhance user experience. Modern AI chips, neural processing units (NPUs), and generative AI models allow phones to think, learn, and adapt in real-time.

Intel's First AI Day in India Sees a Commitment to AI Research Here

It's been pleasure that will foreseen India into Artificial Intelligence(AI).

A lot has to research and things to happen in India furter more.
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• “As India undergoes rapid digital transformation, the data centre and the intelligence behind the data collected will enable the government and industry to make effective decisions based on algorithms," said Prakash Mallya,

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