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Innovation in the AI Era

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Innovation in the AI Era

DeepLearning.AI

DeepLearning.AI was founded in 2017 by Andrew Ng, a world leader in AI, to meet the need for world-class AI education. As an education technology company, DeepLearning.AI is empowering professionals worldwide to build an AI-powered future through world-class education, hands-on training, and a collaborative community. All to grow and connect the global AI community.

The company is part of an ecosystem of companies (Workera, AI Fund, Zest, Woebot Health, Bearing.ai, Factored, CuartoCerebro, Ai Landing) trying to build an AI-powered future through education, business and moreExploring their website, we discovered a wide range of valuable resources that DeepLearning.AI offers. Among them are courses that give you the knowledge and skills you need for a career in AI. These courses range from introductory through intermediate to advanced levels. The range of courses is impressive and includes specialisations in machine learning, natural language processing, AI for medicine, and Machine Learning Engineering for Production (MLOps), among others.

In addition, DeepLearning.AI features “The Batch”, a newsletter to keep you updated with the latest AI news and ideas. It also has a blog that addresses various topics, such as weekly problems, machine learning research, business, science, AI and society, culture, hardware, AI careers and much more.

The company also offers other valuable resources, such as course slides, presentations and ebooks. These complementary resources help students deepen their understanding of AI concepts and strengthen their understanding of AI.

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In addition to online training, DeepLearning.AI organises events in more than 50 countries, with more than 700 events and more than 70,000 participants. Participating in DeepLearning.AI events provides an excellent opportunity to network with a diverse community of peers, learn best practices from industry leaders, receive advice and practice from mentors, and engage in stimulating discussions.

Ultimately, DeepLearning.AI has established itself as a benchmark in AI education and a community platform for practitioners and enthusiasts.


Andrew NG

Delving deeper into the founder’s profile, we find Andrew Ng, a pioneering computer scientist and a leading figure in artificial intelligence. He graduated from Carnegie Mellon University, MIT and the University of California, Berkeley. He has left a significant mark on the industry over the years. Ng was co-founder and director of Google Brain, where he led the development of large-scale deep learning algorithms. His team’s most notable achievement was creating a massive neural network model that learned to detect cats in unlabelled YouTube videos, known as the “Google cat”. He later served as chief scientist at Baidu, where he led the AI Group and was responsible for the company’s global AI strategy and infrastructure.

In addition to his work in industry, Ng has advocated accessible education. In 2011, he led the development of Stanford University’s massive open online course (MOOC) platform, where he taught a machine learning course that attracted more than 100,000 students. This led to the founding of Coursera, where Ng is currently president and co-founder. Coursera is the world’s leading MOOC platform and collaborates with top universities to deliver high-quality online courses globally.

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Andrew Ng has impacted the lives of countless people through his work in artificial intelligence and online education. He has authored or co-authored over 200 research articles in machine learning and related fields. In 2013, he was included in the Time 100 list of the world’s most influential people and is currently the founder of DeepLearning.AI.

In addition to his dedication to education, Ng continues to work in machine learning, focusing on deep learning. His research focuses on computer vision and speech processing applications, including areas such as autonomous driving. His vision and leadership have contributed greatly to the advancement of artificial intelligence and have left a lasting mark on the industry.

Large language models (LLMs)


At the forefront of artificial intelligence, large language models (LLMs) have become a hot topic. Large language models (LLM) are deep learning algorithms that have revolutionised how machines understand and generate text. Based on advanced artificial intelligence techniques, these models can recognise, summarise, translate and predict text using large datasets as a knowledge base. LLMs are used to teach AIs to understand human languages and find applications in fields such as medicine, software development and many other industries. With their ability to process and generate content accurately and consistently, large language models are transforming how we interact with machines and opening up new possibilities in artificial intelligence.

How Do Large Language Models Work?

Large language models (LLMs) learn from huge datasets, capturing relationships and concepts in language. These models assimilate massive amounts of text without explicit instructions through unsupervised learning. LLMs can predict and generate content by applying their knowledge like a person fluent in a language. Moreover, they can be customised for specific use cases using techniques such as fine-tuning. The transformational model architecture, efficient in parallel stream processing, is central to the most powerful and largest LLMs.

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Top Applications for Large Language Models


Large language models (LLMs) have diverse applications that open up new possibilities in multiple domains. For example, in natural language processing, LLMs enable the development of dynamic chatbots and AI assistants that improve the customer experience for retailers and service providers.

In the field of search engines, LLMs help to provide more accurate and human-like responses. Furthermore, these models are used in life sciences research to understand proteins, molecules, DNA and RNA.

In software development and robotics, LLMs allow code to be written and physical tasks to be taught to robots. Marketers can use them to organise customer feedback and requests, and financial advisors can summarise income statements and create transcripts of important meetings.

In detecting fraud and anomalies, credit card companies use LLMs to protect consumers. Legal teams also benefit from these models, as they can assist in drafting and paraphrasing legal texts.

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Final thoughts

In conclusion, artificial intelligence is revolutionising the world in several ways, and its continued advancement promises an exciting future filled with innovation, automation and intelligent solutions to the challenges we face as a society. With the potential to transform industries, improve the quality of life and open up new frontiers of knowledge, artificial intelligence will continue to be an ever-evolving field that will lead us towards a promising future full of infinite possibilities.

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Arkham Intel Removes TON Blockchain Support

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Arkham Intel Removes TON Blockchain Support

Arkham Intelligence is discontinuing support for the TON blockchain on its platform effective April 8 at 12pm EST.

Arkham Intelligence announced it will remove support for the TON blockchain from its Arkham Intel platform on Wednesday, April 8 at 12pm EST. The decision follows a periodic review of chain integrations, with Arkham citing user demand and the blockchain’s importance to the crypto ecosystem as key evaluation factors.

Arkham regularly evaluates its chain integrations to determine which blockchains warrant continued maintenance and support on the platform. The removal of TON comes as Arkham maintains its intelligence and on-chain analytics services across other major blockchain networks.

Sources: Arkham

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This article was generated automatically by The Defiant’s AI news system from publicly available sources.

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U.S. Treasury to propose demands that stablecoin firms be set to police bad transactions

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U.S. Treasury to propose demands that stablecoin firms be set to police bad transactions

A firm issuing stablecoins in the U.S. would have an array of new duties to head off criminals and keep government watchdogs informed about malicious actors, according to rules poised for proposal by the U.S. Department of the Treasury that were reviewed by CoinDesk.

A joint proposal from the Treasury’s Financial Crimes Enforcement Network (FinCEN) and Office of Foreign Assets Control (OFAC) will outline the deep controls that stablecoin businesses would have to put in place, including abilities to “block, freeze and reject” transactions and internal protections to comply with the Bank Secrecy Act that governs most of the U.S. financial system.

In one of the most significant moves yet to implement last year’s Guiding and Establishing National Innovation for U.S. Stablecoins (GENIUS) Act — the first major crypto-sector law for the U.S. — the two arms of the Treasury Department that police illicit finance are setting out a tailored approach for stablecoin firms, which will be opened for a public comment period and potential revisions before it’s finalized. But the agencies are also sending a message of deference to the industry, suggesting the companies understand their own hazards best.

A summary of the joint proposal reviewed by CoinDesk said it’s focused on effectiveness “and that financial institutions are best positioned to identify and evaluate their money laundering, terrorist financing and illicit finance risks.” The department’s effort contends that a firm that’s running appropriate money-laundering preventions is generally safe from enforcement actions unless it’s showing “a significant or systemic failure to maintain that program.”

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On that money-laundering front, FinCEN would expect stablecoin issuers’ programs to be able to halt specifically flagged transactions and to know where to devote “more attention and resources toward higher-risk customers and activities.” When the U.S. authorities are pursuing a specific target, the regulated issuers subjected to this proposed rule would have to scour their own records for any activity tied to individuals or entities flagged by FinCEN.

Also, the issuers will be expected to act as allies in the agency’s pursuit of entities identified as “primary money laundering concerns.” As recently as 2023, the agency had sought to tag crypto mixers such as Tornado Cash under that label, though earlier this year, the Treasury Department reversed course to suggest that mixers could serve legitimate and legal privacy uses.

On the sanctions front, OFAC would require stablecoin issuers run risk-based safeguards for stablecoin activity on primary or secondary markets, and the policies must spot and reject transactions “that may violate or would violate U.S. sanctions.” Sanction missteps — including past flagrant violations — have been a critical concern of crypto industry detractors, including recent scrutiny focused on the world’s biggest exchange, Binance.

Treasury Secretary Scott Bessent said in a statement that his department’s latest efforts “will protect the U.S. financial system from national security threats without hindering American companies’ ability to forge ahead in the payment stablecoin ecosystem.”

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The crypto industry and its stablecoin leaders — including Tether, Circle, Ripple and the firm partially owned and controlled by the family of President Donald Trump, World Liberty Financial — have been awaiting regulation that helps further establish their bespoke assets as safe and reliable. Some tensions remain in the wider crypto community, which has had a tumultuous relationship with governments since its beginnings, when its founding principles aimed to keep cryptocurrencies outside of government control.

The decentralized finance (DeFi) sector remains a space that seeks to cut away intermediaries and maintain direct interactions, but the illicit-finance controls for that arena are still unresolved in the ongoing negotiations among the industry, securities sector and lawmakers over the Digital Asset Market Clarity Act in the U.S. Senate. While the Treasury’s stablecoin proposal and others from U.S. financial regulators are beginning to sketch out the guardrails, wide swaths of crypto activity still need to be addressed.

Earlier this year, a third arm of the Treasury — the independent Office of the Comptroller of the Currency that regulates national banks and trusts — proposed its standards and procedures for issuers it’ll watch as the primary federal regulator. This week, its sister regulator, the Federal Deposit Insurance Corp. did the same with a largely parallel proposal.

The GENIUS Act is meant to go into full effect by 2027. Well before that, firms have been pursuing charters and partnerships to get involved in stablecoins. The Trump-tied World Liberty, for instance, applied for a charter as a trust bank in January and manages the USD1 stablecoin.

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The company is under fresh scrutiny this week after reportedly being unaware that its AB DAO partner was involved in a project with potential ties to Cambodia’s Prince Group, the target of major U.S. investigations, sanctioning and the seizure last year of a record $14 billion in bitcoin . Those types of business relationships at stablecoin issuers would be under stringent new industry-managed controls in the Treasury Department’s pending proposal.

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8 leading AI stocks and crypto trading apps for beginners in 2026

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8 leading AI stocks and crypto trading apps for beginners in 2026

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

AI trading apps reshape investing in 2026 as beginners adopt automated stock and crypto strategies.

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Summary

  • AI trading apps surge in 2026, helping beginners automate stock and crypto strategies for passive income
  • MoneyFlare leads with fully automated AI trading across stocks and crypto, requiring no manual setup
  • Platforms like Pionex and 3Commas offer flexible AI tools as demand for hands-free trading grows

In 2026, the world of investing is being transformed by artificial intelligence (AI). Whether someone is looking to trade stocks or cryptocurrencies, AI-powered trading apps have made it easier than ever for beginners to get started with automated trading. 

These platforms are designed to eliminate the complexity of traditional trading, offering hands-off solutions that allow users to generate passive income with minimal effort. For those who are beginners and are looking to dive into AI trading, this guide is an introduction to the top 8 AI stock and crypto trading apps for 2026.

1. MoneyFlare – Best fully automated AI Trading system for stocks and crypto

Overview:
MoneyFlare stands out as the top choice for beginners looking for a truly automated trading experience. This platform uses AI-driven quantitative strategies to handle both stock and cryptocurrency trading, eliminating the need for manual intervention.

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Key Features:

  • Fully managed AI quant trading system for both stocks and cryptocurrencies
  • No setup required, pre-built strategies
  • Works seamlessly across both asset classes
  • Continuous optimization of strategies without user management

Why choose it:
Perfect for those who want a completely hands-off trading experience, MoneyFlare operates 24/7, ensuring that users don’t need to monitor the market actively, whether in stocks or crypto.

Click to visit and register to receive a free $10 real reward and a $50 trial credit!

2. Pionex – Best for no-code crypto trading automation

Overview:
Pionex is a crypto trading app that offers AI-powered automation without the need for APIs. Pionex integrates its trading bots directly into its exchange, making it simpler for beginners to start trading cryptocurrencies.

Key Features:

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  • Built-in trading bots (16+ options)
  • No API integration required
  • Automatic grid trading and DCA
  • User-friendly interface

Why choose it:
With Pionex, there is no need for technical knowledge to use the bots, making it an ideal choice for crypto newbies looking to automate their trading.

3. TradeSanta – Best for entry-level crypto trading automation

Overview:
TradeSanta is an AI trading platform designed for beginners who want to automate their crypto trading with minimal complexity. It provides a straightforward setup and allows users to get started quickly with cryptocurrency trading.

Key Features:

  • 24/7 automated trading for crypto
  • Smart trading terminal with customizable settings
  • Cloud-based platform for easy access
  • Affordable pricing and demo options

Why choose it:
TradeSanta is great for entry-level users, offering an intuitive interface and access to both grid and DCA bots without the need for complex configuration, making it perfect for crypto beginners.

4. 3Commas – Best for flexible stock & crypto trading strategies

Overview:
For those who want a little more control over their strategies while still benefiting from automation, 3Commas provides a flexible AI platform. Users can fine-tune their strategies while letting the AI handle execution, whether for stocks or cryptocurrencies.

Key Features:

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  • SmartTrade terminal with advanced features
  • Customizable trading strategies for both stocks and crypto
  • Multiple integrations with popular exchanges
  • Backtesting for strategy optimization

Why choose it:
3Commas is a versatile choice for beginners who want to move beyond basic bots and explore more tailored trading approaches in both stock and crypto markets.

5. Cryptohopper – Best for copy trading in crypto and stocks

Overview:
Cryptohopper is a top-rated platform for beginners interested in copy trading. With its marketplace of pre-built strategies, even beginners can follow successful traders’ strategies without needing to know the intricacies of trading in either stocks or cryptocurrencies.

Key Features:

  • Copy trading and marketplace for stocks and crypto
  • AI-powered optimization of strategies
  • Supports stocks and cryptocurrencies
  • Mobile-friendly interface for on-the-go trading

Why choose it:
Cryptohopper allows beginners to harness the expertise of professional traders, making it an easy entry point into AI trading for those who prefer to follow established strategies in both asset classes.

6. Coinrule – Best for no-code strategy building in crypto

Overview:
Coinrule offers an intuitive, no-code interface for building personalized trading strategies. It’s great for beginners who want to customize their approach to cryptocurrency trading without needing to learn how to code.

Key Features:

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  • No-code strategy builder for crypto trading
  • Pre-built templates for easy setup
  • Automatic execution of strategies
  • Supports a wide range of exchanges

Why choose it:
Coinrule is a fantastic option for beginners who want to experiment with their own strategies without needing technical expertise in crypto trading. Its ease of use makes it ideal for users who prefer a DIY approach.

7. HaasOnline – Best for advanced automation in stocks and crypto

Overview:
HaasOnline is a powerful platform that caters to beginners and experienced traders alike, offering advanced automation features without requiring technical expertise. Its AI-powered system enables users to set up automated trading strategies for both stocks and cryptocurrencies.

Key Features:

  • Advanced technical analysis tools
  • AI-powered trading strategies for both asset classes
  • Customizable bots for stocks and crypto
  • Supports a wide range of exchanges

Why Choose It:
HaasOnline is ideal for those who want both simplicity and powerful trading features. It’s great for beginners who want to explore advanced automation without a steep learning curve in both stocks and crypto markets.

8. Botcrypto – Best for simple crypto trading automation

Overview:
Botcrypto is a beginner-friendly AI trading app designed for those looking to automate their cryptocurrency trading with minimal setup. It’s perfect for those who want a straightforward approach to crypto trading.

Key Features:

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  • Drag-and-drop interface for strategy creation
  • Integration with multiple crypto exchanges
  • Cloud-based for easy access
  • Pre-set strategies available

Why choose it:
Botcrypto offers an easy way to get started in crypto trading with automated strategies. Its drag-and-drop feature makes it one of the simplest platforms for beginners to use, especially for crypto.

Conclusion

As AI continues to reshape the financial landscape, these 8 AI stock and crypto trading apps are at the forefront of helping beginners get started with automated trading. Whether someone is looking to trade stocks or cryptocurrencies, these platforms offer user-friendly interfaces, AI-driven automation, and risk management features that make it easier to generate passive income.

For beginners in 2026, there’s no better time to take advantage of AI-powered trading tools. Start with platforms like MoneyFlare or Pionex for a completely hands-off experience in stocks and crypto, or explore more customizable options like 3Commas or Coinrule to fine-tune trading strategies.

Whichever platform someone chooses, make sure to start with small investments, understand the risks involved, and adjust their strategies as needed to maximize profits. Happy trading!

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Disclosure: This content is provided by a third party. Neither crypto.news nor the author of this article endorses any product mentioned on this page. Users should conduct their own research before taking any action related to the company.

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MEXC Names New CEO And Expands Global Strategy

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MEXC Names New CEO And Expands Global Strategy

MEXC appointed Vugar Usi as CEO on Wednesday, elevating the executive as the exchange steps up its push for global licensing, including under the European Union’s Markets in Crypto-Assets Regulation (MiCA) framework.

MEXC said Usi joined the company as chief operating officer in late 2025 after previously serving in the same position at rival exchange Bitget.

In his new role, Usi said MEXC plans to preserve its low-fee trading focus while expanding broader multi-asset access on the platform.

The CEO told Cointelegraph that MEXC is actively pursuing licensing opportunities globally, including a MiCA license in the EU.

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MEXC’s changes come alongside a broader brand update, highlighting an industry-wide shift toward “everything exchange” models amid growing competition from decentralized rivals.

MiCA license a “top strategic priority”

Operating across multiple regions worldwide, MEXC “consistently maintains a close watch” on the global regulatory landscape, Usi told Cointelegraph.

“The MiCA license application is a top strategic priority for the company,” he said, adding that the company is engaged in proactive preparations to establish a fully compliant business entity within the EU.

Source: MEXC

MEXC did not provide additional details on its MiCA licensing plans. The company is currently labeled non-compliant by European regulators after Dutch authorities flagged the platform in September 2025 for providing crypto services in the Netherlands without holding the required license.

Related: Centralizing crypto: Why Malta’s clash with ESMA is about more than one small state

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Some major exchanges are still working through Europe’s MiCA process, showing how competitive and politically sensitive the licensing race has become. Binance, the world’s largest exchange by reported volume, applied for a MiCA license in Greece in January.

MEXC posts rapid growth in crypto market

Founded in April 2018, MEXC has emerged as one of the fastest-growing CEXs globally, with reported daily trading volumes of around $2.2 billion, according to CoinGecko.

Crypto analytics platform CryptoQuant named MEXC as one of the top three exchanges in its Exchange Leader Index alongside Binance and Gate, with the exchange also ranking among those with the strongest growth alongside Gate and Coinbase.

Related: Binance led Q1 crypto derivatives as Hyperliquid cracked top 10: CoinGlass

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The company has scored major partnerships, including an auditing collaboration with the blockchain security platform Hacken. MEXC also closely collaborated with The Open Network (TON), which secured funding from its venture arm, MEXC Ventures, in late 2023.

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