Watch Rep. Hill on Speaker's Potential Ukraine Aid Plan  Bloomberg

Canada Hikes Capital Gains Tax to Raise Billions for Housing  Bloomberg

Folks in Hong Kong are excitted about the region giving the green light to spot Bitcoin and Ethereum exchange-traded funds (ETFs). However, some experts are saying investors shouldn’t go too crazy over these new crypto investment products. Eric Balchunas, a well-known ETF analyst at Bloomberg, thinks these Hong Kong Bitcoin ETFs may only bring in […]

US Will Sanction Iranian Drone Program After Attack on Israel  Bloomberg

Murdoch Partner Uday Shankar Is Helping Ambani Take on Google, Meta in India  Bloomberg

Dollar Set for Best Run in a Year  Bloomberg

Economist and gold bug Peter Schiff has explained why the price of gold is rising, warning that bitcoin is a “gigantic bubble.” He expects gold to be in “double digits” by next year. Meanwhile, he said that bitcoin is in a bear market and the price of the cryptocurrency “is going much lower than this.” […]

Australia News Today: Assange plea deal, China growth, AI threat  Bloomberg

This insightful article explores the much-anticipated altcoin season, providing a detailed view of the top cryptocurrencies to watch. Get an understanding of potential investments and market movements in the crypto world.

Analyze the potential resurgence of the crypto market with highlighted focus on NEAR, TIA, TON, BLP cryptos. An expert sheds light on their potential to skyrocket and leads the crypto bounce back.

PRESS RELEASE. San Francisco, April 16th: Cove, the first onchain portfolio manager that eliminates loss-versus-rebalancing, has announced a strategic partnership with Bazaar, the decentralized and chain-agnostic launchpad. This collaboration is set to revolutionize the way Cove engages with its community by offering a fair and accessible opportunity to participate in the $COVE token launch. $COVE […]

Stock Market Today: Dow, S&P Live Updates for April 17  Bloomberg

Days after bitcoin's weekend plunge and days before the bitcoin halving, Galaxy Digital CEO Michael Novogratz discusses the trajectory of crypto ...

A once-every-four-years software update called the “halving” has long been held as one of the keys to propping up Bitcoin's value.

Crypto-Skeptic Sen. Sherrod Brown Is Open to Advancing Stablecoin Legislation, Bloomberg Reports. 17/04 04:32. U.S. Sen. Sherrod Brown (Drew Angerer ...

Bitcoin miners are seeing a sharp decline in their stock prices ahead of a code update for the largest cryptocurrency that will drastically reduce ...

The Disturbing Extortion Scam Targeting Teen Boys Online  Bloomberg

Fan tokens displayed an interesting correlation with teams results during todays Champions League match. The post PSG fan token jumps 23% during the match against Barcelona appeared first on Crypto Briefing.

Top OKX executives Tim Byun and Wei Lan exit crypto exchange: report  The Block

Bitcoin's Big Event Happens Every Four Years. 36 views · 6 minutes ago ...more. Bloomberg Television ... Crypto.com CEO: Bitcoin May See Selling Ahead ...

Senate to Host Dual Boeing Hearings Wednesday  Bloomberg

Famous crypto analyst Ali Martinez has penned his thoughts in a recent X post regarding the investment landscape of Bitcoin. His recent study focuses on Bitcoin Market Value to Realized Value (MVRV) Momentum, an important indicator used to recognize optimal purchasing times. Martinez states that when the BTC’s MVRV goes below its 90-day average, it […]

Perpetual futures are a type of derivatives contract unique to the crypto market. Unlike traditional futures, which have a set expiration date, perpetual futures never expire, allowing traders to hold their positions indefinitely. To make this type of contract financially viable, the market employs a mechanism called the funding rate. Funding rates are periodic payments […] The post Funding rate turns negative as Bitcoin drops below $64k appeared first on CryptoSlate.

In the realm of finance, the rise of cryptocurrencies has been nothing short of revolutionary. From the inception of Bitcoin over a decade ago to the proliferation of thousands of digital assets today, the crypto market has grown exponentially, attracting investors, enthusiasts, and skeptics alike.

Whatever strategy you choose, the process should begin with a clear understanding of your business's value and market conditions. Next, it is important to remember that potential buyers will be interested in a thorough review of your business from a financial, legal and business perspective. This means that your business must be transparent and all financial records must be in order.  Both an acquisition and an IPO involve financial disclosure, compliance and reporting requirements. While the management buyout is less complicated in terms of paperwork, these deals are not free from compliance requirements.  Given all the above, try to start planning your exit well in advance, at least 3-5 years before the target date.

Recently, I learned that Heroku also includes support for PostGIS. I’ve personally never used PostGIS before. I know of several proprietary competitors to the product, so I figured this would be a great time to try out the open-source option.

\ Emojis have become more than just a tool for expression; they are a language of their own. However, their implementation in software development brings unique challenges, particularly in accurately measuring their length. This article delves into the complexities of emoji lengths, using JavaScript to provide practical examples and solutions for navigating these challenges. \ The Curious Case of Emoji Lengths Emoji handling varies between programming languages. In languages that use UTF-16 encoding, like JavaScript, emojis may be composed of more complex structures, such as surrogate pairs or even sequences of multiple code units. Thus, an emoji's length could be more than just 1 or 2; it might extend to several units depending on its composition. This section unveils some of the most intriguing examples of emoji lengths and explains the technical reasons behind these phenomena, focusing on JavaScript for specific insights. \ Surprising Examples and Their Actual Lengths Single Emojis: The Heart Emoji (❤️) At first glance, the heart emoji appears to be a single character. However, when we inspect its length in JavaScript, we find a surprising result: console.log('❤️'.length); // Outputs: 2 This discrepancy arises because the emoji consists of two components in Unicode's UTF-16 encoding: a base character, which is the universal symbol for the heart, and a variation selector, which specifies the emoji's red variant. This detail illustrates the complexity behind what seems like a straightforward emoji. \ Skin Tone Modifiers: Thumbs Up Emoji (👍🏽) The thumbs-up emoji with a skin tone modifier presents an interesting case, too: console.log('👍🏽'.length); // Outputs: 2 Again, it combines the base thumbs-up emoji with a skin tone modifier, each recognized as an individual code unit. The addition of skin tone, therefore, extends the character count, illustrating the impact of modifiers on emoji length. \ Zero Width Joiner (ZWJ) Sequences: The Family Emoji (👨‍👩‍👦) The family emoji showcases the complexity of combining multiple emojis: console.log('👨‍👩‍👦'.length); // Outputs: 8 Family emoji - a sequence that combines several emojis (👨 man, 👩 woman, 👦 boy) using invisible Zero Width Joiners (ZWJ). Each individual emoji is encoded as two characters, incorporating a primary emoji character and often a default variation selector that specifies a variant or skin tone. ZWJs merge these separate emojis into a single glyph and are considered as one character within the sequence. Thus, we have: man emoji (2 characters) + ZWJ (1 character) + woman emoji (2 characters) + ZWJ (1 character) + boy emoji (2 characters). \ Complex Emojis with Multiple Components: The Woman Astronaut Emoji (👩‍🚀) Consider the woman astronaut emoji for its composition complexity: console.log('👩‍🚀'.length); // Outputs: 5 This emoji is crafted by combining the 👩 woman emoji and the 🚀 rocket emoji with an invisible zero-width Joiner (ZWJ). Both the 👩 and the 🚀 are encoded as two characters each, as we already know. The ZWJ seamlessly merges these icons into one glyph and adds another character to the count. Therefore, the sequence is comprised of: 👩 (2 characters) + ZWJ (1 character) + 🚀 (2 characters), culminating in a total of 5 characters for the composite emoji. \ Flag Emojis: The United States Flag (🇺🇸) Consider the encoding intricacies of the US Flag emoji (🇺🇸): console.log('🇺🇸'.length); // Outputs: 4 Flag emojis are unique in that they're composed using regional indicator symbols. These symbols, such as 🇺 (U) and 🇸 (S) for the USA flag, represent the country's ISO 3166-1 alpha-2 code. Each letter is encoded as a surrogate pair in UTF-16, which means that despite each symbol representing a single letter, it is stored using two characters to accommodate the extensive range of Unicode characters. Thus, the 🇺🇸 emoji sequence comprises: 🇺 (2 characters) + 🇸 (2 characters), leading to a total of 4 characters for the flag emoji. \ Counting Emojis as One Character: From Intuition to Precision In an ideal world, the length of an emoji, no matter how complex, would be counted as one character to align with our visual perception. Initially, developers might attempt straightforward methods, quickly discovering the limitations and complexities of accurately measuring emoji lengths. Let's explore some methods together to find a solution that helps us better understand the problem intuitively. \ Using .length property Initially, one might think the .length property of a string could offer a straightforward count of emojis. As we've seen with our examples, though, this method falls short. Complex emojis don't conform to this simplicity, revealing the method's limitations for accurate emoji length determination. \ Using spread operator Attempting to count emojis using the spread operator [...string] offers an insightful perspective: console.log([... '👩‍🚀']); // Output: ['👩', '‍', '🚀'] console.log([... '👩‍🚀'].length); // Outputs: 3 Interestingly, the result is 3, which at first glance might seem unexpected but is actually closer to our visual interpretation than the initial 5 obtained using the .length property. The operation counts the woman emoji (👩), the Zero Width Joiner (ZWJ), and the rocket emoji (🚀) as individual characters. \ Using RegExp Regular Expressions (RegExp) offer a focused way to identify emojis using Unicode properties: const emojiPattern = /[\p{Emoji_Presentation}]/gu; const matches = '👩‍🚀'.match(emojiPattern); console.log(matches); // Output: ['👩', '🚀'] console.log(matches.length); // Outputs: 2 Applying this RegExp to emojis like 👩‍🚀 splits them into their basic emojis ['👩', '🚀'], giving a count of 2. We utilise \p{Emoji_Presentation} for its precision in targeting characters explicitly displayed as emojis, and not including regular digits like "1", which \p{Emoji} might match. As we can see, this method effectively ignores the Zero Width Joiner (ZWJ), simplifying the process of identifying the exact emoji length. However, it's still not ideal for accurately counting complex emojis as single characters. \ Using Intl.Segmenter The Intl.Segmenter API provides a sophisticated mechanism for accurately counting emojis by treating them as whole units, regardless of their complexity: const segmenter = new Intl.Segmenter('en', { granularity: 'grapheme' }); const emojiString = '👩‍🚀'; const segments = Array.from(segmenter.segment(emojiString)); console.log(segments.map(segment => segment.segment)); // Output: ['👩‍🚀'] console.log(segments.length); // Outputs: 1 This approach leverages the concept of grapheme clusters, which are sequences of one or more code points that are displayed as a single, unified character to the user. By using Intl.Segmenter with the granularity option set to 'grapheme', it correctly identifies and counts the woman astronaut emoji (👩‍🚀) as one unit, aligning perfectly with our visual interpretation. \ Conclusion The task of accurately counting emoji lengths in JavaScript reveals the nuances of digital communication with Unicode. Through the examination of various methods, from the simple .length property to the comprehensive Intl.Segmenter, we highlight the importance of understanding Unicode encoding. This journey into the encoding and counting of emojis not only reveals challenges specific to JavaScript but also illuminates general aspects of working with text in digital environments. \ I hope this exploration has clarified the complexities behind something as seemingly simple as emojis and provided you with practical methods to apply in your projects. May the insights shared here enhance your development work and inspire you to delve deeper into the fascinating interplay between technology and language! \

The common pool of `ForkJoinPool` threads is implicitly used in Java applications. ForkJoinTasks are submitted for execution without explicitly specifying a custom pool instance. Let us see when common ForkJoinPool is passed arointernally by default

The paper introduces a virtual audience framework for online conferences, addressing synchronization issues and providing real-time audience feedback without audio transmission. Future work includes using deep neural networks for local laughter detection and exploring advanced audio synthesis techniques for improved virtual audience sound.

Discover the Virtual Audience Framework designed for online events, enabling performers to interact with their audience in real-time based on abstract audience states. Learn how this framework revolutionizes live shows by enhancing feedback systems and improving audience engagement. TLDR: The Virtual Audience Framework redefines online events, offering real-time interaction and feedback for performers. By transmitting abstract audience states instead of raw audio, it revolutionizes live shows, improves engagement, and simplifies audio synchronization, all with minimal transmission overhead.

This section explores various sound synthesis techniques, including sample-based, physical modeling, abstract synthesis, and deep learning-based methods, highlighting their applications in virtual events for synthesizing audience feedback like clapping, whistling, booing, and laughter. Deep learning models show promise in creating more natural and diverse laughter sounds, revolutionizing acoustic feedback synthesis.

This paper introduces a concept for a virtual audience framework that leverages AI audio synthesis technology to create authentic audience feedback in virtual events. By collecting and merging abstract feedback from participants, a single joint audience sound is synthesized and distributed, enhancing engagement and realism without the need to unmute participants.

Mahesh Kambala has 15 years of professional experience in information technology. He has honed his data analytics, ETL, machine learning, and AI skills. His contributions during the pandemic underscore the vital role of technology and data analytics in healthcare, particularly in times of crisis.

Elon, Inc.: Tesla Can't Stop Losing  Bloomberg

Congressional Leaders Discussing Iran Oil Sanctions, Senator Cardin Says  Bloomberg