Ant Group, the international company backed by entrepreneur Jack Ma, has made plans to introduce Circle’s USDC onto its blockchain network.
The Smarter Web Company has significantly expanded its Bitcoin treasury, acquiring 275 BTC to bring its total holdings to 1,275 BTC amid Bitcoin’s record-breaking price surge. This strategic purchase, made
Imagine a world where understanding our planet’s vast data is as simple as asking a question. For the crypto community, familiar with the power of decentralized data and innovative tech, LGND AI presents a fascinating parallel. This startup is pioneering a groundbreaking approach to make sense of the immense volume of geospatial information our Earth generates daily, aiming to create what some are calling “ChatGPT for the Earth.” Unveiling LGND AI: The ChatGPT for Earth Our planet is constantly broadcasting information. Satellites alone capture approximately 100 terabytes of imagery every single day. Yet, extracting meaningful insights from this deluge of data has traditionally been a complex and resource-intensive task. Simple-sounding questions, like determining the number of fire breaks in California and how they’ve changed since the last fire season, can be incredibly difficult to answer. Historically, this involved human analysts painstakingly reviewing images – a process that simply doesn’t scale. While neural networks have improved things by allowing machine learning experts to train algorithms to identify features like fire breaks, Nathaniel Manning, co-founder and CEO of LGND, points out that such efforts can cost hundreds of thousands of dollars for a single, specialized dataset. LGND’s ambition is to dramatically reduce these costs and increase efficiency by an order of magnitude or more. Bruno Sánchez-Andrade Nuño, LGND’s co-founder and chief scientist, clarifies their goal: “We’re looking to make them 10 times more efficient, one hundred times more efficient.” The Challenge of Geospatial AI: From Pixels to Insights Most geographic information today exists either as pixels or traditional vectors (points, lines, areas). While these formats are flexible and easy to distribute, interpreting them requires either deep domain expertise, significant computing power, or often, both. This inherent complexity has been a major bottleneck for unlocking the full potential of geospatial AI . Businesses and organizations often struggle to derive quick, actionable insights from the sheer volume of data available. The process of building custom models for every unique query is not only time-consuming but also financially prohibitive, limiting the scope of what can be understood about our dynamic planet. Revolutionizing Analysis with AI Embeddings LGND’s core innovation lies in its use of vector embeddings for geographic data. Think of AI embeddings as universal, super-short summaries of spatial data. They condense complex geographic information in a way that makes it significantly easier to find relationships between different points on Earth. As Nuño explains, “Embeddings get you 90% of all the undifferentiated compute up front.” This means that a large portion of the computational heavy lifting required for data analysis is handled efficiently from the start. Consider the fire break example: a fire break could be a road, a river, or a lake. While they look different on a map, they share common characteristics – for instance, a lack of vegetation and a minimum width. Embeddings allow systems to quickly identify locations that match these abstract descriptions, regardless of their specific visual representation. This approach promises to democratize access to advanced spatial analysis. Real-World Impact of Earth Data AI The practical applications of this advanced Earth Data AI are vast. LGND has developed an enterprise application to assist large companies in answering complex spatial data questions, alongside an API for users with more specialized needs. Manning envisions a future where companies can query geospatial data in entirely new ways. Imagine an AI-powered travel agent. Instead of just asking for a three-room rental near good snorkeling, a user could add highly specific, nuanced requests: “I want to be on a white sand beach, with very little seaweed in February, and most importantly, no construction happening within one kilometer of the house at the time of booking.” Building traditional geospatial models to answer such multi-faceted queries would be incredibly time-consuming for even a single request, let alone multiple. LGND’s technology aims to make such intricate queries almost instantaneous, unlocking unprecedented insights for industries ranging from real estate and tourism to environmental monitoring and disaster preparedness. Powering Progress: Investment in Satellite AI LGND recently secured a significant $9 million seed round, led by Javelin Venture Partners, with participation from notable investors like AENU, Clocktower Ventures, Coalition Operators, MCJ, Overture, Ridgeline, and Space Capital. This substantial investment underscores the market’s confidence in LGND’s vision and its potential to revolutionize how we interact with Earth’s data. The company’s aspiration to become the “Standard Oil for this data” highlights their ambition to be a foundational layer for all future geospatial applications. By making complex satellite AI analysis accessible and efficient, LGND is poised to capture a significant share of a market valued near $400 billion. This investment will fuel their development efforts, enabling them to expand their capabilities and reach, ultimately empowering more organizations to leverage the power of Earth’s vast data for informed decision-making and sustainable development. LGND’s innovative approach to geospatial data, leveraging the power of AI embeddings, marks a significant leap forward in understanding our planet. By transforming raw satellite imagery into easily queryable, intelligent summaries, they are not just improving efficiency; they are enabling entirely new possibilities for industries and researchers alike. As the volume of Earth data continues to grow, LGND’s “ChatGPT for the Earth” could become an indispensable tool, helping us navigate environmental challenges, optimize economic activities, and gain deeper insights into our world. This technology holds the promise of making our planet’s vast information truly actionable, fostering a future where complex questions about Earth can be answered with unprecedented speed and accuracy. To learn more about the latest AI market trends, explore our article on key developments shaping AI features.
BlackRock’s iShares Ethereum Trust saw a record inflow of $301 million on Thursday, its highest ever inflow since the product launched in July 2024. The spot Ethereum ETF has now seen a total of $6.1 billion in inflows, and is way ahead of its eight competitors. Additionally, it was the second-best day for aggregate inflows for the products since they launched with $383 million or 129,500 ETH. We have a *new* daily inflow record for iShares Ethereum ETF… $300+mil. 2nd best day for spot eth ETFs overall since July 2024 launch. — Nate Geraci (@NateGeraci) July 11, 2025 Institutional Interest in Ethereum BlackRock’s ETHA fund posted record volume over the last two days, with over $800 million each day, which is four times the average, reported Bloomberg ETF specialist Eric Balchunas. “Given the price is also up, probably see some chunky flows next couple of days,” he added . Almost $900 million has entered Ethereum ETFs in just six trading days so far this month, according to Farside Investors. In total, there have been more than $5 billion in inflows since launch, despite Grayscale’s fund hemorrhaging $4.2 billion. BREAKING: ETHEREUM ETFs HAS BOUGHT 129.5K ETH WORTH $383.1 MILLION. WE ARE SO BACK pic.twitter.com/79KMoQenjV — Ash Crypto (@Ashcryptoreal) July 11, 2025 Spot Bitcoin ETFs have also been on a roll with a whopping $1.17 billion in aggregate inflows on Thursday, the largest inflow day since early November and the second best since launch. The lion’s share went into BlackRock’s fund as usual, which saw $448.5 million in inflows, bringing its total inflow to a staggering $53.4 billion. It was a “huge volume day for IBIT,” said Balchunas, observing twice the average volume of $5 billion. “When IBIT sees big volume surges on up price days, it portends big boy flows,” he added, stating that there is a good chance that they’ll reach $1 billion over the next day or so. Financial advisors, who control an enormous amount of money, have barely even begun allocating to Bitcoin and Ethereum ETFs, said Nate Geraci before adding: “Major platforms such as Vanguard are still gatekeeping these ETFs (which is laughable IMO). And we’re still seeing near-record inflows.” ETH Reaches $3,000 Ethereum has finally broken out of its multi-month sideways channel in a push towards the psychological $3,000 price level, reaching $3,005 at the time of writing. It is the first time the asset has been over $3,000 since early February. ETH has surged 8% on the day following a week of bullish news regarding corporate treasury adoption and stablecoin foundations for the asset. The post BlackRock’s Ethereum ETF Sees $300M Record Inflow Day, ETH Tops $3K appeared first on CryptoPotato .
Bitcoin short-sellers faced a brutal shakeout on Thursday as the world’s largest cryptocurrency surged to fresh all-time highs, triggering over $1 billion in liquidations within 24 hours. According to CoinGlass data , crypto markets saw $1.01 billion in short positions liquidated. This included around $570 million in Bitcoin shorts and nearly $207 million in Ether shorts, as Bitcoin hit $116,500 and Ether touched $2,990 on Thursday. The surge marks Bitcoin’s second consecutive day of setting new records, with Wednesday’s peak at $112,000 being swiftly surpassed. The rally lifted the total crypto market capitalization by 6% over the past day to $3.68 trillion, according to CoinMarketCap. Bitcoin Traders React to the Massive Short Squeeze The swift upward move caught many in the market off guard. “Bears in disbelief,” crypto analyst Miles Deutscher posted on X, while trader Daan Crypto Trades described the price surge as a “MASSIVE Short squeeze on BTC & ETH.” Velo, another market commentator, highlighted the scale of the liquidations, noting, “Lots of emails are being sent.” This liquidation event, while significant, was smaller than the one recorded on February 3, when over $2.24 billion in positions were wiped out amid fears of a global trade war following import tariff announcements by US President Donald Trump. Despite these past shakeouts, Thursday’s squeeze was notable for the speed at which Bitcoin moved past its previous record levels. Split Sentiment Before the Breakout Earlier in the week, analysts were divided on Bitcoin’s near-term potential to break new highs. Bitfinex analysts noted on Tuesday that BTC was showing a “lack of follow-through strength,” with bulls appearing hesitant without a clear macro catalyst, as the asset hovered around $108,500. Their report stated that traders were waiting for fresh momentum before pushing the price significantly higher. However, others, including MN Trading Capital founder Michael van de Poppe, were more optimistic. “The inevitable breakout to an ATH on Bitcoin might even happen during the upcoming week,” van de Poppe predicted on June 30. For now, market participants are watching closely to see if BTC can hold above its new highs or push further. If Bitcoin retraces to Wednesday’s level of $112,000 , around $2.11 billion in long positions could be at risk of liquidation, adding another layer of tension as traders recalibrate in the face of BTC’s latest historic climb. The post Bitcoin Short-Sellers Crushed as Price Hits New ATH appeared first on TheCoinrise.com .
The Ethereum Foundation’s zkEVM team has introduced a pioneering real-time proof standard designed to enable local proof computation within office environments and select residential settings. This advancement targets enhanced scalability
XRP included in Trump's ETF proposal alongside major cryptocurrencies. Following the announcement, XRP's price rose by 6% to approach $2.60. Continue Reading: Ripple’s XRP Shakes Markets With Thrilling New ETF Announcement The post Ripple’s XRP Shakes Markets With Thrilling New ETF Announcement appeared first on COINTURK NEWS .
Polygon has solidified its position as the leading blockchain platform for crypto micropayments, surpassing $100 million in monthly transaction volume in June 2025. The platform now commands over 50% market
In the rapidly evolving landscape where innovation often intersects with unexpected domains, the latest move by Diligent Robotics offers a compelling narrative for those tracking advancements in autonomous technology and its real-world applications. While the crypto world often focuses on decentralized finance and blockchain, the underlying technological breakthroughs in AI and robotics are equally transformative, hinting at a future where smart machines seamlessly integrate into our daily lives. Diligent Robotics, a pioneer in healthcare automation, is making waves by strategically bolstering its leadership team, signaling an ambitious push to scale its groundbreaking fleet of Moxi humanoid robots. A Strategic Infusion of Autonomous Technology Expertise Diligent Robotics, an Austin, Texas-based innovator, has announced two pivotal appointments to its leadership team: Rashed Haq as Chief Technology Officer and Todd Brugger as Chief Operating Officer. Both individuals bring a wealth of experience from Cruise, the GM self-driving subsidiary that recently ceased operations. This strategic hiring move underscores Diligent’s commitment to leveraging top-tier expertise from the broader autonomous sector to propel its mission in healthcare. Haq, formerly VP and Head of AI and Robotics at Cruise, and Brugger, Cruise’s former COO, are now poised to apply their deep knowledge of scaling complex autonomous technology systems to the burgeoning field of healthcare robotics. Why Now? Scaling the Future of AI in Healthcare Andrea Thomaz, co-founder and CEO of Diligent Robotics, emphasized that the timing for these leadership hires is crucial. With approximately 100 Moxi humanoid robots already deployed in healthcare facilities, assisting with non-patient-facing tasks, Diligent is transitioning from a phase of meticulous development to aggressive scaling. Thomaz noted, “We’ve purposely grown a little bit more slowly, I would say, over the last, two or three years, really honing some of the operational efficiencies and getting ready to be in a position to scale more dramatically.” This measured approach has allowed the company to refine its Moxi robots, ensuring they are robust and efficient before expanding their footprint across more healthcare networks. The integration of Haq’s AI prowess and Brugger’s operational scaling expertise is expected to significantly accelerate this expansion, bringing the benefits of AI in healthcare to a wider audience. From Autonomous Vehicles to Humanoid Robots: A Seamless Transition? For Haq and Brugger, the transition from autonomous vehicles to healthcare robotics felt like a natural progression. Haq highlighted the fundamental similarities, stating that autonomous vehicles are, at their core, mobile robots. This perspective underlines the transferability of their extensive experience in developing and deploying complex robotic systems. Brugger echoed this sentiment, noting that many operational challenges and priorities at Diligent mirror those at Cruise. Both executives were particularly drawn to Diligent’s established traction and the ‘stickiness’ of its product. Haq observed, “Many companies have early traction in terms of revenue and I call it ‘vibe revenue,’ because people try it out, and then they cancel their service afterwards, so then that revenue dies out. But with Diligent, if you look at all the metrics, the robots are actually in day-to-day use, and have become integral parts of the companies that are using them. So that makes it a very sticky product as well.” Building the Pyramid: Safety, Reliability, and Product-Market Fit in Healthcare Technology Brugger articulated a clear ‘pyramid of priorities’ that guides their approach, which he believes is highly applicable to healthcare technology . This framework starts with safety as a non-negotiable foundation, followed by reliability, and then continuous improvement in product-market fit, often achieved by expanding the robots’ capabilities. This systematic approach to deployment and scaling, honed in the demanding autonomous vehicle sector, promises to bring rigorous standards to the deployment of Moxi robots. Diligent’s Moxi robots are designed to handle tasks such as delivering supplies, collecting lab samples, and restocking shelves, freeing up human staff to focus on direct patient care. This not only enhances efficiency but also addresses critical staffing shortages in healthcare, showcasing the profound impact of advanced robotics. The Impact of Humanoid Robots on Healthcare Operations Founded in 2017 by Andrea Thomaz and Vivian Chu, Diligent Robotics has already made significant strides, deploying its Moxi humanoid robots in over 25 healthcare networks. The company has successfully raised over $90 million in venture funding from prominent firms like Tiger Global, True Ventures, and Canaan Partners, underscoring investor confidence in its vision. The strategic infusion of leadership from Cruise is expected to significantly accelerate the adoption and capabilities of Moxi. By streamlining non-patient-facing tasks, Moxi robots enable healthcare professionals to dedicate more time to patient interaction and critical duties, ultimately improving patient outcomes and staff satisfaction. This is a testament to the transformative power of robotics in revolutionizing hospital and pharmacy operations. A Glimpse into the Future of Healthcare Automation Diligent Robotics’ latest leadership appointments mark a significant milestone in its journey to revolutionize healthcare through advanced robotics . By bringing in seasoned experts from the cutting-edge world of autonomous vehicles, the company is poised for an unprecedented phase of growth and innovation. The synergy between deep AI expertise, operational scaling experience, and a proven product like Moxi promises to accelerate the integration of intelligent automation into hospitals and pharmacies worldwide. As healthcare systems grapple with increasing demands and resource constraints, the strategic deployment of humanoid robots offers a powerful solution, heralding a future where technology empowers human caregivers and enhances the quality of care. To learn more about the latest AI in healthcare trends, explore our article on key developments shaping AI features, institutional adoption.
Justin Sun, co-founder of TRON, has committed to purchasing $100 million of the TRUMP token, marking a new milestone in the relationship between the TRON ecosystem and the TRUMP meme coin. Sun even commented that the TRUMP meme coin was the future of crypto, alongside the TRON token. This is an example of how Sun