Flowdesk, a prominent player in the crypto trading space, has successfully secured $102 million in funding, signaling ambitious expansion plans amid a burgeoning market. The funding round, which consists of
In a move hailed as potentially transformative for the American technology sector, semiconductor giant TSMC has dramatically increased its commitment to US chip manufacturing . The Taiwan-based chipmaker announced a staggering pledge to invest “at least” $100 billion in cutting-edge fabrication plants across the United States over the next four years. This news, amplified by former President Trump, signals a major acceleration in efforts to onshore critical technology production and address long-standing concerns about global supply chain vulnerabilities. Unpacking TSMC’s Mammoth Semiconductor Investment in the US This bold initiative significantly expands upon TSMC’s previous commitments and leverages incentives provided by the CHIPS Act, a landmark piece of legislation designed to revitalize domestic semiconductor investment . Let’s break down what this massive investment entails: Doubling Down on America: TSMC’s new pledge more than doubles its previously announced $65 billion investment in US chip manufacturing facilities. Arizona Expansion: The funds are earmarked for the construction of five advanced facilities in Arizona, a state rapidly becoming a hub for semiconductor production. CHIPS Act Catalyst: TSMC has already secured up to $6.6 billion in grants from the CHIPS Act, demonstrating the legislation’s effectiveness in attracting major industry players. Total US Commitment Soars: With this latest announcement, TSMC’s total investment in US chip manufacturing now reaches approximately $165 billion. This influx of capital represents a monumental win for the US, promising to bolster domestic capabilities in a sector critical to national security and economic competitiveness. Why is US Chip Manufacturing So Crucial? For years, the United States has voiced growing unease about its reliance on overseas semiconductor production, particularly TSMC’s dominant position. Here’s why bringing more US chip manufacturing onshore is a strategic imperative: Supply Chain Security: Geopolitical tensions, especially concerning Taiwan, highlight the risks of relying heavily on foreign sources for essential chips. Domestic production mitigates these risks. Economic Growth: Boosting US chip manufacturing creates high-paying jobs, stimulates local economies, and fosters innovation within the country. AI and Technological Leadership: Advanced chips are the backbone of artificial intelligence. Securing domestic production is vital for maintaining US leadership in the rapidly evolving AI landscape. National Security: Semiconductors power everything from smartphones to military systems. Domestic production strengthens national security by ensuring access to cutting-edge technology. The AI Chip Race and TSMC’s Strategic Role The surge in demand for AI chips has placed TSMC’s specialized manufacturing capabilities squarely in the spotlight. The company’s expertise in advanced chip packaging is particularly critical for producing the high-performance processors required for AI applications. This investment comes at a pivotal moment as the AI boom intensifies the global competition for chip supremacy. Daniel Newman, CEO of Futurum Group, astutely observes that TSMC’s commitment could be strategically linked to potential trade negotiations, suggesting a “win” for the current administration. “As the U.S. continues to push for increased domestic manufacturing and with tariffs on the horizon, a substantial commitment from TSMC could serve as a strategic gesture of goodwill,” Newman explained. Navigating Challenges and Future Prospects for US Semiconductor Investment While TSMC’s massive semiconductor investment is undoubtedly positive, challenges and questions remain: Talent Acquisition: Building and operating these advanced facilities requires a skilled workforce. Significant investment in STEM education and workforce development will be crucial. Infrastructure and Logistics: Establishing a robust domestic chip manufacturing ecosystem requires more than just factories. Reliable infrastructure, supply chains, and logistical support are essential. Long-Term Sustainability: Ensuring the long-term viability of US chip manufacturing requires ongoing government support, private sector innovation, and a competitive business environment. Balancing Global Interdependence: While onshoring production is important, maintaining some level of global collaboration and avoiding complete isolation is also vital for innovation and growth. Will the Chips Act Truly Revolutionize US Tech? The Chips Act boost is clearly playing a significant role in attracting companies like TSMC to expand their US presence. However, the long-term success of this initiative hinges on sustained commitment from both government and industry. While pledges from tech giants like OpenAI, SoftBank, and Apple to invest in US infrastructure are encouraging, experts caution about the need for concrete details and feasibility assessments. Despite potential hurdles, TSMC’s monumental investment represents a crucial step forward in revitalizing US chip manufacturing . It underscores the growing recognition of semiconductors as a foundational technology and the strategic imperative of securing domestic production capabilities in an increasingly competitive global landscape. To learn more about the latest AI market trends, explore our article on key developments shaping AI features.
In the fast-evolving world of technology, where innovations often reshape industries, Google has just dropped a game-changer for wildlife conservation. Imagine harnessing the power of artificial intelligence, the same tech fueling crypto advancements, to protect our planet’s biodiversity. Enter SpeciesNet, Google’s brand-new, open-source AI model poised to revolutionize wildlife identification and monitoring efforts globally. For those keeping an eye on tech breakthroughs, this isn’t just another algorithm; it’s a powerful tool with the potential to significantly impact how we understand and safeguard our natural world. What is SpeciesNet and why is it a game-changer for wildlife identification? For years, researchers have relied on camera traps – those stealthy digital cameras triggered by motion – to peek into the secret lives of animals. These devices are invaluable for studying wildlife populations , but they come with a massive data deluge. Mountains of images can take weeks to manually analyze, slowing down critical conservation work. That’s where SpeciesNet steps in as a transformative force. Think of it as an AI assistant for ecologists. Google’s SpeciesNet AI model is designed to automatically identify animal species from camera trap photos. This isn’t just about saving time; it’s about unlocking faster, more comprehensive insights into biodiversity trends. Launched under Google’s Wildlife Insights initiative, SpeciesNet is already powering analysis tools for researchers worldwide, helping them collaborate and accelerate their vital work. The impact? Quicker understanding of animal distributions, population changes, and the effects of environmental shifts – all crucial for effective conservation strategies. Open Source AI Model: Democratizing Conservation Efforts Google’s decision to make SpeciesNet open source is a pivotal move. What does this mean? It means the technology isn’t locked behind proprietary walls. Instead, it’s freely available on GitHub under an Apache 2.0 license, allowing tool developers, academics, conservation organizations, and even biodiversity-focused startups to leverage its power without hefty restrictions. This democratization of advanced AI tools is crucial for scaling up biodiversity monitoring in natural areas across the globe. Key benefits of open source approach: Accessibility: Wider access for researchers and organizations with varying resources. Collaboration: Encourages community contributions and improvements to the model. Innovation: Sparks the development of new tools and applications built upon SpeciesNet. Transparency: Allows for scrutiny and validation of the AI model’s performance and biases. How does SpeciesNet AI work? The engine behind SpeciesNet’s impressive capabilities is its training dataset. Google claims it has been trained on a staggering 65 million publicly available images , along with contributions from renowned institutions like the Smithsonian Conservation Biology Institute and the Zoological Society of London. This massive dataset allows SpeciesNet to recognize a vast array of species and objects. SpeciesNet isn’t just limited to identifying specific animal species. It can classify images into over 2,000 labels, including: Animal Species: Identifying specific species like lions, elephants, or various bird species. Taxa: Recognizing broader taxonomic groups such as “mammalian” or “Felidae” (the cat family). Non-animal Objects: Differentiating between animals and other objects like “vehicle” or “human.” This granular level of classification is essential for accurate data analysis in ecological studies. Researchers can use SpeciesNet to quickly filter out irrelevant images and focus on the valuable wildlife data captured by their camera traps . The Benefits of SpeciesNet for Researchers and Conservationists The advantages of utilizing SpeciesNet are numerous and impactful for the conservation community: Benefit Description Accelerated Data Analysis Significantly reduces the time spent manually sorting and identifying animals in camera trap images, freeing up researchers for other critical tasks. Increased Data Volume Processing Enables researchers to handle and analyze larger datasets, leading to more comprehensive and robust ecological studies. Improved Accuracy and Consistency AI-driven identification reduces human error and ensures consistent species classification across large datasets and multiple researchers. Enhanced Collaboration Facilitates data sharing and collaborative analysis through platforms like Wildlife Insights, powered by SpeciesNet. Cost-Effectiveness Reduces the need for extensive manual labor, making wildlife monitoring more affordable and scalable, especially for under-resourced organizations. Challenges and Considerations in AI-Driven Wildlife Monitoring While SpeciesNet offers immense potential, it’s important to acknowledge the challenges and considerations that come with AI-driven wildlife identification : Data Bias: AI models are trained on data, and biases in the training data can lead to inaccurate or skewed results. Ensuring diverse and representative datasets is crucial. Accuracy Limitations: While powerful, AI is not infallible. SpeciesNet’s accuracy may vary depending on image quality, species rarity, and environmental conditions. Human verification might still be necessary in some cases. Technological Infrastructure: Effective implementation of SpeciesNet may require access to adequate computing resources and technical expertise, which could be a barrier for some researchers or organizations in remote areas. Ethical Considerations: As AI becomes more integrated into conservation, ethical guidelines are needed for data privacy, responsible AI deployment, and avoiding unintended consequences. SpeciesNet vs. PyTorch Wildlife: A Quick Comparison of AI Tools Google’s SpeciesNet isn’t the only player in the field of AI tools for camera trap analysis. Microsoft’s AI for Good Lab maintains PyTorch Wildlife, another open-source framework. While both aim to automate animal detection and classification, there are some differences. Key differences: Provider: SpeciesNet is from Google, PyTorch Wildlife is from Microsoft. Framework: SpeciesNet is presented as a specific model, while PyTorch Wildlife is a broader framework offering pre-trained models and tools. Focus: Both focus on wildlife identification , but PyTorch Wildlife might offer more flexibility for customization and fine-tuning due to its framework nature. The existence of multiple open-source AI models like SpeciesNet and PyTorch Wildlife is beneficial for the conservation community, offering choices and fostering innovation in this critical area. The Future of AI Model in Biodiversity Conservation SpeciesNet represents a significant leap forward in leveraging AI model technology for biodiversity conservation. As AI continues to advance, we can expect even more sophisticated tools to emerge, capable of analyzing not just images, but also audio and video data from the field. Imagine AI systems that can: Real-time Wildlife Monitoring: Analyzing data streams from camera traps and sensors in real-time to detect poaching events or track animal movements dynamically. Predictive Modeling: Using AI to predict biodiversity loss risks and inform proactive conservation interventions. Citizen Science Integration: Empowering citizen scientists to contribute to wildlife monitoring efforts through AI-powered image analysis apps. The journey of using AI for wildlife identification is just beginning. With tools like SpeciesNet leading the way, we are moving towards a future where technology plays an increasingly vital role in understanding, protecting, and preserving our planet’s precious biodiversity. To learn more about the latest AI trends, explore our articles on key developments shaping AI features.
This content is provided by a sponsor. PRESS RELEASE. Geneva, Switzerland , March 4 2025 – TRON DAO made its way to ETH Denver 2025, one of the most talked about blockchain conferences in the industry. While attending ETH Denver, TRON DAO came in as a Golden Sponsor for the highly anticipated CUBE Summit. The
The data suggests that BTC is in its third corrective phase.
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Flowdesk has secured $102 million in fresh funding to expand its digital asset trading and liquidity business, backed by HV Capital and a debt facility from BlackRock-managed funds. “This funding round marks a pivotal moment for Flowdesk as we accelerate our expansion into key global markets,” said CEO Guilhem Chaumont in an email to CoinDesk. “Institutional demand for market-making infrastructure is growing rapidly, and we are committed to scaling our technology and services to meet that need.” In a release, Flowdesk said it will use the proceeds of the round to scale its over-the-counter (OTC) derivatives business and launch a dedicated crypto credit desk while also doubling headcount at the trading firm. "Flowdesk has built one of the most robust global infrastructures for digital asset trading, with unparalleled market connectivity, regulatory coverage, and a broad range of liquidity solutions," Chaumont continued. It also plans to expand into the Middle East, with the UAE being the next potential hub. Flowdesk is known for making bold bets when opening new offices; it expanded to the U.S. during the height of the Biden White House's war on crypto, a move that seemed risky at the time but ended up paying off handsomely for the company. Tokenization is also a major focus for Flowdesk as institutional interest in on-chain assets grows. The company has worked with token issuers to facilitate liquidity for tokenized assets and plans to expand its services to include stablecoins, tokenized securities, and money market funds. "From day one, Flowdesk has been built on the vision that tokenization would redefine financial markets. Over the past years, our work with token issuers has positioned us at the forefront of this transformation," Chaumont said in an email. Flowdesk's existing investors, Eurazeo, Cathay Innovation, and ISAI, also participated in the round.
The Bitcoin price has been on a roller coaster ride over the past four days, plunging 12% amid market volatility. The cryptocurrency market, which surged to a $3.26 trillion valuation on March 3, has since lost 11.8% and dropped to 2.85 trillion. Rumors of a potential Trump tax relief announcement at the upcoming March 7 Crypto Summit have sparked speculation: Could this news catalyze a Bitcoin rally and help BTC reclaim its recent highs? Let’s dive into the latest developments and analyze what’s next for the BTC price . Will Bitcoin Price Rally as Rumors Suggest Trump Mulls on Zero Tax for US-based Cryptocurrencies? Rumors on Twitter suggest that Eric Trump and David Bailey accidentally revealed this “no capital gains tax” on American-based cryptocurrencies. If this rumor has some truth to it, it could catalyze another rally similar to the one witnessed two days ago. Bitcoin price could even reclaim $100K in such a case. Nick O’Neil, a popular crypto influencer, posted a video to X, “Trump moves to abolish capital gains.” He added, “Rumors are circulating that Trump will announce zero capital gains tax on US-based cryptocurrencies on March 7 Crypto Summit.” The influencer further questioned how Trump would achieve this as it would require the US House of Representatives to approve this move. O’Neil added that Trump couldn’t achieve this just from an executive order from the president. The rumor’s credibility will be tested in the coming days as the Crypto Summit is just three days away. If true, it could catalyze a massive rally in US-based cryptocurrencies such as Cardano (ADA), Solana (SOL), Ripple’s XRP and so on. Bitcoin Price Forecast: What’s Next For BTC? The daily chart shows Bitcoin price rally that pushed into $94K faced rejection around the previously formed value area, extending from $93.3K to $101.3K. Now, BTC trades between two key levels at $85.3K and $78.6K, the previous quarter VWAP and the midpoint of the six-month candlestick, respectively. A breakdown of the $78.6K level could catalyze and correct to $73.4K, which is the previous year’s midpoint. However, BTC price is unlikely to stop here and look for a retest of the stable support level at $70.1K, which is the upper limit of the previous value area that extends up to $60.4K. BTC/USDT 1-day chart Why Did Bitcoin Crash? Although investors expected a Bitcoin-only strategic reserve establishment, US President Donald Trump added a few altcoins like Ripple (XRP), Solana (SOL) and even Cardano (ADA). This announcement came on the weekend, during a low liquidity day, which catalyzed a 20.46% rally in Bitcoin price that pushed it from a low of $78.2K to $94.2K. As investors realized that this announcement, while bullish, needed majority votes from Democrats and Republicans to be ratified, it dampened their optimistic outlook. Trump’s 25% tariff on Canada on Monday was the final nail in the coffin that catalyzed a 12.66% plummet in Bitcoin’s value. BTC/USDT 30-Minute Chart Bitcoin price today trades at $93,753 after dropping 2.75% on Tuesday. The Bitcoin price remains highly volatile, with recent developments like Trump’s Crypto Strategic Reserve and tariff announcements causing significant market swings. As the March 7 Crypto Summit approaches, all eyes are on whether the Trump tax relief rumors will come to fruition. If true, this could spark a major Bitcoin rally , potentially pushing the BTC price to new highs. However, investors should remain cautious, as the market’s reaction will depend on the credibility of these rumors and broader macroeconomic factors. Stay tuned for the latest updates on the Bitcoin price and its future trajectory. The post Bitcoin Price Drops 12%: Will Trump’s Tax Relief Rumors Spark a BTC Rally? appeared first on CoinGape .
Shiba Inu (SHIB) faces immense selling pressure as market sentiment shifts, raising concerns about its potential to drop below critical price levels. As SHIB dwindles to $0.00001271, technical indicators suggest
XRP price is down 16% today, and bulls need to hold the important support level at $2.20 to avoid a deeper correction toward $1.55.