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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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Crypto World

PI holds $0.16 as 778K tokens leave exchanges: rebound brewing?

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Pi Network Price
Pi Network Price
  • PI price rose slightly on Tuesday, with buyers testing resistance above $0.16.
  • Holder balances on centralized exchanges have reduced by over 700,000 PI tokens over the last 24 hours.
  • The technical outlook for PI is mixed amid overall bearish sentiment.

Pi Network’s token is showing some resilience amid broader crypto market weakness, with price retesting resistance above $0.16 despite key losses for Bitcoin and major altcoins.

The PI token traded to its intraday highs on a slight uptick in daily volume as on-chain data reveals a sharp decrease in token balances on centralized exchanges (CEXs).

While the upward move from lows of $0.13 on February 11 suggests bullish resilience, PI must extend gains above the latest barrier level to give buyers an upper hand.

Testing the key level amid broader crypto sentiment means a potential downward flip could follow if profit-taking deals mount.

Pi Network sees over 700,000 PI exit exchanges

PiScan data reveals CEX balances have shrunk sharply in the past 24 hours, with more than 778,434 PI tokens leaving CEXs such as OKX, Bitget, and MEXC.

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The outflows suggest strong holder conviction, and are key to the reduced selling pressure currently helping bulls hold the advantage.

Net outflows indicate accumulation rather than distribution.

Buyers could capitalize on this outlook to drive prices higher, more likely if the broader market sentiment improves.

Despite CEX outflows, the PI price is signalling upside potential amid Pi Network’s Open Network expansion.

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The project has accelerated its KYC verifications and mainnet migrations.

Meanwhile, the Pi Core Team sees  milestones such as the release of details on the Ecosystem Token Design as crucial steps.

The Pi Request for Comment (PRC) for community input is among ecosystem developments that are adding to investor confidence.

Pi Network technical outlook

Despite the intraday gains, Pi Network’s price remains 9% down this past week.

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The token is also in the red over the past month and year-to-date time frames, about 11% and 20%, respectively.

PI’s technical picture shows sentiment is largely bearish, with oscillators neutral. However, moving averages are leaning “strong sell”.

PI Price Chart
Pi Network price chart by TradingView

Bulls could muster upward momentum if prices stabilize above the $0.15. Support here and increased volume could allow PI to target $0.18 and then $0.27.

However, bears may yet dominate if bulls fail to hold above a downtrend line going back to the October 10, 2025, crash.

Should short-term losses accelerate below $0.15, major support lies around $0.13, an area that marked PI’s all-time low on Feb 11.

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Indicators like MACD and RSI on the daily chart are offering a mixed outlook.

The MACD suggests a bearish crossover, while the RSI sits at 46 and outlines a possible leg up.

PI price, like most cryptocurrencies, will likely track risk asset sentiment and performance in the short term. Macroeconomic and geopolitical factors will be key catalysts.

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Cronos (CRO) price outlook as Crypto.com secures conditional OCC approval in the US

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Crypto.com secures conditional OCC approval in the US
Crypto.com secures conditional OCC approval in the US
  • Crypto.com gains credibility after conditional approval from the OCC.
  • Cronos (CRO) remains far below its peak, but fundamentals are stabilising.
  • The regulatory approval strengthens Cronos’ long-term investment case.

Cronos (CRO) is once again in focus as regulatory progress at Crypto.com reshapes the long-term narrative around the ecosystem.

The token has spent much of the past year trading under pressure, mirroring broader market uncertainty and fading risk appetite.

Recent developments in the United States, however, have injected a new layer of strategic significance into CRO’s outlook.

Crypto.com has secured conditional approval from the Office of the Comptroller of the Currency (OCC) to establish a nationally regulated trust bank.

This approval does not mean full operational status yet. It does, however, signal regulatory acceptance at the highest federal level.

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That signal alone carries weight in a market where regulatory clarity often defines winners and losers.

Crypto.com’s regulatory progress in the US

The planned Crypto.com national trust bank will not operate like a traditional retail bank.

It will, for instance, not accept deposits or issue loans.

Its role is focused on digital asset custody, settlement, and staking services under federal oversight.

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This positioning places Crypto.com closer to the infrastructure layer of institutional finance rather than consumer banking.

For the broader crypto market, the conditional approval suggests Crypto.com is on track to become a federally regulated custodian before committing serious capital.

It also reduces reliance on fragmented state-by-state licensing. From a credibility standpoint, this is a meaningful step forward.

For Cronos, the implications are indirect but important.

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Cronos exists as part of the Crypto.com ecosystem. Any expansion in regulated services strengthens the ecosystem’s long-term utility.

That utility underpins demand, even if price reactions are not immediate.

CRO price analysis

Cronos (CRO) is currently trading far below its all-time high.

The token peaked near $0.97 during the 2021 bull market, but today it trades closer to the $0.07 range. That decline reflects both market cycles and shifting sentiment around exchange tokens.

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Despite the drawdown, however, Cronos maintains a multi-billion-dollar market capitalisation.

Liquidity remains steady, though daily trading volumes are modest compared to previous cycles. While short-term momentum remains weak, long-term positioning is beginning to look more nuanced.

How the OCC approval feeds into Cronos’ price outlook

The conditional OCC approval does not directly change CRO’s tokenomics, nor does it alter supply or introduce immediate new use cases.

What it does is reinforce the ecosystem’s regulatory durability, which matters as capital becomes more selective.

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Following the approval, institutional staking, custody, and settlement services could eventually intersect with Cronos-based activity.

Even if adoption grows slowly, the direction is clear.

For long-term holders, the narrative around Cronos is shifting from speculative growth to regulated infrastructure alignment.

As Crypto.com moves closer to full approval, attention on Cronos is likely to increase.

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The price recovery will, however, still depend on broader market cycles, although the path forward now looks more credible than it did a year ago.

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Adam Back’s SPAC merger with Cantor Equity Partners could come as soon as April

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Adam Back's SPAC merger with Cantor Equity Partners could come as soon as April

Undaunted by the plunge in bitcoin and the even worse price action for bitcoin treasury companies, Adam Back, the CEO of Bitcoin Standard Treasury Company (BSTR), says shareholder approval for a public listing could come as soon as April.

The public listing would come via a SPAC merger with Brandon Lutnick’s Cantor Equity Partners I (CEPO).

BSTR intends to debut with 30,000 bitcoin on its balance sheet. Of that total, 25,000 coins will be contributed by Back and other founding shareholders. A further 5,000 BTC will be contributed in-kind by early investors.

The merger plans were announced in the summer of 2025 amid a frenzy of hastily formed crypto treasury companies that hoped to mimic the success of Michael Saylor’s Strategy.

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Since, though, the price of bitcoin has crashed to $63,000, and the performance of crypto treasury companies has been far worse, with many prominent ones vaporizing 90% or more of investor capital.

Speaking with CNBC on Monday, Back said a weaker bitcoin price could benefit BSTR ahead of its listing. Launching at a lower reference price would enable the company to accumulate more bitcoin at discounted levels, potentially strengthening its balance sheet and increasing long-term upside if market conditions improve.

Addressing bitcoin’s recent decline, Back noted that it occurred despite what he characterized as a favorable regulatory backdrop in the United States. He attributed the pullback to broader macroeconomic factors, including geopolitical tensions and tariff-related uncertainty, which have weighed on risk assets more broadly.

Back added that bitcoin treasury companies play a supportive role in the market. Their core strategy centers on acquiring and holding bitcoin, though he acknowledged that the pace of accumulation typically slows during bear markets. Ultimately, he said, bitcoin treasury companies are taking bitcoin off the market, which is a long-term bullish catalyst.

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HBAR price risks correction to $0.07 as structure shifts

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HBAR price risks correction to $0.07 as intraday structure turns bearish - 1

HBAR price faces downside risk after losing key support at $0.09, with bearish intraday structure increasing the probability of a corrective move toward $0.07.

Summary

  • $0.09 support flipped into resistance confirms bearish structure
  • Loss of point of control could accelerate downside momentum
  • $0.07 high-timeframe support becomes next downside target

Hedera (HBAR) price action is showing early signs of structural weakness following a decisive loss of high-timeframe support near the $0.09 level. What previously acted as a strong demand zone has now transitioned into resistance, marking an important shift in market structure.

This transition is technically significant. When former support flips into resistance, it often signals a change in market control from buyers to sellers. Recent price movements suggest that HBAR is now undergoing a bearish retest of this level, a common market behavior that frequently precedes continuation to the downside.

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As long as HBAR trades below $0.09, the broader technical outlook favors further corrective movement, with the next major support region located near $0.07 coming into focus.

HBAR price key technical points

  • $0.09 support flipped into resistance: Structural breakdown confirms bearish shift
  • Point of control under threat: Loss of key volume support could accelerate downside momentum
  • $0.07 high-timeframe support targeted: Next major demand zone within current range
HBAR price risks correction to $0.07 as intraday structure turns bearish - 1
HBARUSDT (4H) Chart, Source: TradingView

HBAR’s recent price action has been technically constructive in defining market direction. The confirmed loss of the $0.09 level represents a major structural development. Markets often respect these transitions strongly, as participants who previously bought at support may begin selling when price retests the level from below.

The current bounce toward resistance appears corrective rather than impulsive. Instead of establishing higher highs, price is forming a potential lower high within the intraday structure. This behavior aligns with a bearish retest scenario, where temporary upward movement allows sellers to re-enter positions before continuation lower.

From a market structure perspective, maintaining acceptance below $0.09 keeps sellers firmly in control. Until this level is reclaimed, bullish continuation remains unlikely in the short term.

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Point of control becomes critical volume support

Another important level to monitor is the point of control (POC), which represents the area of highest traded volume within the broader range. The POC often acts as a final area of equilibrium before price transitions into expansion.

If HBAR loses acceptance around this level, it would signal that the market has abandoned its last major volume-based support. This development could significantly increase downside momentum.Below the POC lies a region of relatively thin volume, meaning fewer historical transactions exist to slow price movement. When markets enter low-volume zones, price tends to move quickly as liquidity gaps allow accelerated rotations toward lower value areas.

This technical dynamic strengthens the probability of a move toward the value area low and ultimately the $0.07 high-timeframe support.

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Bearish retest suggests lower high formation

From a price action standpoint, the current local bounce appears to be a bearish retest rather than a trend reversal. Intraday structure continues to favor lower highs and weakening momentum, suggesting that the market is preparing for another rotational move downward.

Bearish retests typically occur after structural breakdowns, allowing price to revisit former support levels before sellers resume control. HBAR’s inability to reclaim resistance supports this interpretation.

If price forms a confirmed lower high beneath $0.09, it would further validate the bearish continuation thesis. This setup increases the likelihood that HBAR rotates toward deeper support levels as part of a broader corrective phase.

What to expect in the coming price action

From a technical, price action, and market structure perspective, HBAR remains vulnerable while trading below the $0.09 resistance. The current rebound appears corrective within a bearish intraday trend. A loss of the point of control could trigger accelerated downside movement toward the $0.07 high-timeframe support.

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Unless buyers reclaim higher value and invalidate the lower-high structure, the probability favors continued downside rotation in the near term.

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Price Falls While Network Activity Surges

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Successful payment on XRP Ledger. Source: XRPScan

XRP Ledger recorded multiple breakthrough metrics in February. These figures reflect Ripple’s effectiveness in attracting attention and accelerating adoption on its underlying blockchain.

However, XRP’s price remained stuck below $1.4 during the final week of February, despite several positive signals that predicted an upcoming recovery.

Activity on XRP Ledger Increased in February After Upgrades

Data from XRPscan shows that the number of successful payments on the XRP Ledger has continuously increased over the past month. The figure rose from a low of 1 million payments at the end of December last year to more than 2.7 million in February. This marks the highest level in 12 months.

Successful payment on XRP Ledger. Source: XRPScan
Successful payment on XRP Ledger. Source: XRPscan

On the XRP Ledger, a successful payment is a transaction that validators have confirmed and recorded on the distributed ledger.

Therefore, this increase reflects the growing vibrancy of the XRP Ledger. A higher number of successful transactions proves that users genuinely use the network for payments, transfers, DeFi, or other applications.

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“XRP network activity stays strong. Around 2M transactions per day and roughly 40K active addresses. That is real usage. While most chains chase narratives, XRPL keeps moving value. Payments. Settlements. This kind of consistency is what institutions look for,” crypto investor CryptoSensei said.

In addition, the Automated Market Maker (AMM) on the XRPL DEX showed signs of a breakout, with more than 14,000 deposits. This development provides XRPL with additional decentralized liquidity and reduces trading slippage.

AMM Deposit on XRP Ledger. Source: XRPScan.
AMM Deposit on XRP Ledger. Source: XRPscan.

Notably, AMM activity has never been this before. This breakout occurred after the Permissioned Domains upgrade was activated in early February. The network enabled the Permissioned DEX two weeks later.

Investors expect the Permissioned DEX to pave the way for banks, payment providers, and financial institutions to trade within a controlled liquidity environment on XRP Ledger.

Despite these positive signs, XRP’s price continued into its fifth consecutive month of decline, and the final week of February closed in the red. At the time of writing, XRP is trading at $1.33, down 45% from its early-year high.

XRP Price Performance. Source: BeInCrypto Price
XRP Price Performance. Source: BeInCrypto Price

A recent report from BeInCrypto shows that rising whale inflows to exchanges continue to create selling pressure. Realized losses have reached their highest level since 2022.

However, historical signals also suggest that such extreme negativity often precedes a price bottom and a strong recovery. The latest analysis from BeInCrypto clarifies that XRP now needs confirmation through a breakout above the $1.47 resistance level.

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Nansen to Set up Bhutan Entity in Gelephu Mindfulness City

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Bitcoin Adoption, Bhutan

Blockchain analytics company Nansen will establish a local entity and build a Bhutan-based team in Gelephu Mindfulness City (GMC), expanding into the kingdom as its Special Administrative Region advances its digital asset strategy.

According to a joint announcement shared with Cointelegraph, Nansen plans to incorporate within GMC and develop on-the-ground analytics capabilities to provide blockchain data and market intelligence to industry participants operating in the region.

GMC is a purpose-built Special Administrative Region in southern Bhutan focused on long-term economic development. The region has previously announced digital asset initiatives spanning custody infrastructure, tokenization, institutional liquidity and regulatory frameworks.