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Cryptos and stocks end the week in the red, analysts optimistic about post-halving Bitcoin rally – KITCO
(Kitco News) The cryptocurrency market ended the week on a negative note as Bitcoin (BTC) slid back below $64,000 while the broader altcoin market recorded losses amid continued profit-taking by traders looking to reposition themselves ahead of the next major uptrend. Stocks also fell under pressure after Thursdays rally saw all three major indexes hit new record highs at the prospect of lower interest rates. At the market close, the S&P, and Dow finished in the red, down 0.14% and 0.77%, while the Nasdaq managed to battle back from negative territory to finish the day up 0.16%.
Tectum Lists $TET on BingX – Cryptocurrency News – Altcoin Buzz
Tectum is announcing the listing of its $TET token on the BingX exchange.
Bitcoin, Altcoins Ready For Massive Gains, According To Analyst – TradingView
A popular analyst released a bullish forecast for Bitcoin and altcoin prices, predicting significant growth by the end of 2025. Youtube channel Coin Bureau host Guy Turner expected Bitcoin and altcoins to surpass their current all-time highs, with Bitcoin potentially reaching close to $100,000.
Solana price wavers, but increased DApp activity points to SOL recovery – Cointelegraph
Solanas native token, SOL (SOL), experienced a 45% surge over a week, hitting a high of $210 on March 18. Although SOL price hasnt reached its November 2021 all-time high at $260, it has gained 58% over the last 30 days. This performance surpasses that of Ether (ETH) and Avalanches AVAX (AVAX), which have increased by 12% and 30%, respectively, during the same period.
AI reveals the complexity of a simple birdsong – The Washington Post
To a human ear the songs of all male zebra finches sound more or less the same. But faced with a chorus of this simple song, female finches can pick the performer who sings most beautifully.
Unlock the potential of generative AI in industrial operations | Amazon Web Services – AWS Blog
In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. However, this progress introduces unique challenges for enterprises navigating data-driven solutions
Using AI to expand global access to reliable flood forecasts – Google Research
Posted by Yossi Matias, VP Engineering & Research, and Grey Nearing, Research Scientist, Google Research Floods are the most common natural disaster, and are responsible for roughly $50 billion in annual financial damages worldwide. The rate of flood-related disasters has more than doubled since the year 2000 partly due to climate change. Nearly 1.5 billion people, making up 19% of the worlds population, are exposed to substantial risks from severe flood events
Safeguarding AI: A Policymakers Primer on Adversarial Machine Learning Threats – R Street
Artificial intelligence (AI) has become increasingly integrated into the digital economy, and as weve learned from the advent of the internet and the expansion of Internet-of-Things products and services, mass adoption of novel technology comes with widespread benefitsas well as security tradeoffs. For policymakers to support the resilience of AI and AI-enabled technology, it is crucial for them to understand malicious attacksassociated with AI integration, such as adversarial machine learning (ML); to support responsible AI development; and to develop robust security measures against these attacks. Adversarial Machine Learning Attacks Adversarial ML attacksaim to undermine the integrity and performance of ML models by exploiting vulnerabilities in their design or deployment or injecting malicious inputs to disrupt the models intended function.
Undergraduate Researchers Help Unlock Lessons of Machine Learning and AI – College of Natural Sciences
Brain-Machine Interface AI also intersects with language in other research areas. Nihita Sarma, a computer sciencethird-year student and member of Deans Scholars and Turing Scholars, researches theintersection of neuroscience and machine learning to understand language in the brain, workingwith Michael Mauk, professor of neuroscience, and Alexander Huth, an assistant professor ofcomputer science and neuroscience. As research subjects listen to podcasts, they lie in an MRI machine and readings track their brainactivity
Machine Learning Accelerates the Simulation of Dynamical Fields – Eos
Editors Highlights are summaries of recent papers by AGUs journal editors.