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Italian developer, Salvatore Leggiero, unveils plans for the Bitcoin Tower, an hotel chain in Dubai that combines blockchain technology, artificial intelligence, and material sustainability. It will offer guests the opportunity to earn interest on their suite rentals.

Leggiero envisions a hotel chain that embraces cutting-edge technologies like blockchain and artificial intelligence (AI) and prioritizes material sustainability. The project aims to celebrate bitcoins (BTC) significance, prominence, and values.

The team claims that its unique approach to pricing and guest experience sets this hotel chain apart. Leggiero explained that the rental price of a suite would be considered a form of staking cryptocurrency, allowing guests to earn an annual percentage yield (APY) on their investment.

Dubai, known for its progressive mindset and innovative spirit, continues to push the boundaries of technological advancement. With its vision of becoming a smart city, Dubai aims to leverage cutting-edge technologies to build a sustainable and efficient urban environment.

As part of this vision, the city embraces blockchain and cryptocurrencies, recognizing their potential to revolutionize various sectors of its economy. It aligns with Dubais broader strategy of becoming a global technological hub.

The city recognizes the transformative power of these technologies and aims to integrate them into its existing infrastructure. By adopting blockchain, Dubai seeks to enhance transparency, security, and efficiency in finance, supply chain management, and real estate sectors.

The Bitcoin Tower encapsulates Dubais vision for a sustainable and technologically advanced future. By prioritizing material sustainability, the hotel chain will contribute to Dubais efforts in environmental conservation. Integrating blockchain and artificial intelligence will also elevate the guest experience to new heights, allowing for seamless interactions, personalized services, and enhanced security.

This visionary project will undoubtedly captivate the imaginations of both cryptocurrency enthusiasts and technology buffs worldwide.

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Dubai deepens crypto ties with proposed Bitcoin Tower Hotel - crypto.news

Bitcoin and Ethereum revolutionised the financial market as the top cryptocurrencies. DogeMiyagi is making its own mark as an innovative meme coin.

Innovation knows no bounds in the crypto world. As the market leaders, Bitcoin (BTC) and Ethereum (ETH) set a standard for other cryptocurrencies to follow, leading the way for innovation in the crypto arena. DogeMiyagi (MIYAGI) is a new meme coin that has just entered presale and its riding the wave of crypto innovation, offering up one of the best new crypto coins of 2023.

This revolutionary new crypto coin is subverting our negative perceptions of meme coins and combining the spirit of meme coin culture with token utility. This presale is expected to move at record speed, and investors wont want to miss out on one best crypto presales this year.

As the pioneer itself, Bitcoin revolutionised the way we view currency. By introducing the world to the first ever digital currency, Bitcoin made crypto possible and started a wave in the financial market. Bitcoins innovative approach to finance eliminates the need for central authorities and intermediaries in financial transactions. Its scarcity and value determined by supply have turned it into a digital goldmine. As the most prominent cryptocurrency, Bitcoin paved the way for a new financial world of possibilities and many cryptocurrencies have followed.

After setting that new standard for finance, Bitcoin has been constantly developing to keep up with the best crypto coins. For example, this year Bitcoin introduced its own form of NFTs called Ordinals. Due to Bitcoins reputation, this was highly anticipated and this week, Ordinals are close to overtaking Ethereum NFTs in daily trading volume.

While Bitcoin holds the crypto crown, Ethereum proudly stands as the second largest player in the crypto market. Its defining contribution lies in the introduction of the revolutionary smart contracts. This has enabled further innovation including decentralised applications (dApps) and decentralised finance (DeFi), revolutionising how digital assets are created, traded and managed.

Transactions on Ethereums network are fueled by its native token, Ether, which serves as the lifeblood to its vibrant ecosystem. While Ethereum has faced challenges and criticism, it is constantly evolving.

Last year Ethereum moved to a proof-of-stake consensus mechanism to improve its scalability, speed issues and sustainability. In April this year Ethereum underwent the Shapella or Shanghai upgrade which has further enhanced these features and brought more traffic to Ethereums renowned network.

DogeMiyagi is looking to contribute to the crypto space by revolutionising meme coins and providing a utility driven token. Built on the robust foundations of the Ethereum network, DogeMiyagi offers a unique sense of stability, efficiency and scalability not found in other meme coins. It also has plans to further expand into the Web3 ecosystem with the launch of NFTs.

DogeMiyagi will also rely on the unbreakable spirit of community to spark growth. With enticing freebies, expanding benefits and a full-fledged DAO, the whole project is designed with community in mind. The DAO gives the community a unique chance to become more than a passive investor and every $MIYAGI holder will be able to vote on major project decisions.

To expand the community further, DogeMiyagi also has a referral program which allows users to earn a 10% bonus by inviting others to join the community, fostering increased engagement and growth. While DogeMiyagi has all the entertaining features of a meme coin, it's innovating the category with its focus on community and utility.

In the crypto world, there's plenty of space for innovation, Bitcoin and Ethereum lead the way and DogeMiyagi is revolutionising meme coins with its focus on utility. While this coin has only just started presale, it's already showing potential and there's so much more to come!

For more about DogeMiyagi:

Website | Twitter | Telegram

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DogeMiyagi, Bitcoin and Ethereum: Leading the Way for Crypto ... - BSC NEWS

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LIGO can detect gravitational waves that are generated when two black holes collide.Credit: The SXS Project

The Laser Interferometer Gravitational-Wave Observatory (LIGO) is back after a three-year hiatus and a multimillion-dollar upgrade. The first detection of gravitational waves ripples in spacetime from colliding black holes and other cosmic cataclysms was made at LIGO in 2015. Improvements to the detectors sensitivity mean that LIGO could pick up signals of colliding black holes every few days, compared with once a week during its previous run. Scientists hope to detect the gravitational signal of a collapsing star before it manifests as a supernova explosion, as well as the continuous gravitational waves produced by a pulsar.

Nature | 6 min read

A wireless connection between the brain and the spinal cord allows a paralysed man to walk using his thoughts. Gert-Jan Oskam, whose legs were paralysed after a cycling accident, received a spinal implant in 2018 that generated robotic movement through pre-programmed electrical stimulation. He has now received head implants that detect brain activity and transmit the signal to a backpack computer, which decodes the information and activates the spinal pulse generator. This brainspine interface gives Oskam full control over the stimulation, so he can walk and climb stairs. The stimulation before was controlling me and now I am controlling stimulation by my thought, he says.

Nature | 4 min read

Reference: Nature paper

A component in their mothers milk triggers a diet switch in baby mices heart cells. Mouse embryos heart-muscle cells burn sugar and lactic acid, but within 24 hours of birth, they shift to fatty acids as their fuel. After seven years of experiments, some of which involved milking mice by hand, researchers now zeroed in on -linolenic acid as a key compound that drives the switch, and identified the receptor and genes involved. Human breast milk also contains -linolenic acid, and a precursor is found in baby formula, although its unclear whether it has the same role in humans.

Nature | 4 min read

Go deeper with an analysis by heart development experts in the Nature News & Views article (6 min read, Nature paywall)

Reference: Nature paper

Chinas new data restrictions have strengthened privacy but are concerning researchers globally. The signal has been very clear that China does not want its scientists to collaborate as freely as they used to with foreigners, says sociologist Joy Zhang. Chinas largest academic database has partially suspended foreign access, and institutions that send, for example, clinical-trial data abroad must now undergo a security assessment. Unlike the European Unions data protection regulation, the law has no exemption for scientists. The Chinese government has also proposed adding CRISPR gene editing, crop breeding and photovoltaics techniques to its list of technologies whose export is prohibited or restricted.

Nature | 7 min read

Japans government is drawing fresh ire from researchers over plans to privatize the countrys influential science council (SCJ). The government has already backed away from plans to reform the councils constitution and its process for appointing members. Observers predict that the council will ultimately be forced to forge a new relationship with the government: I think the SCJ will have to find a way of existing as an organ within the government, while being independent, says policy researcher Hiroshi Nagano.

Nature | 5 min read

Even the scientists who have made quantum computers their lifes work say they cant do anything useful yet. Theyre all terrible, says physicist Winfried Hensinger of the five he owns (hes working on a new large-scale, modular type). But enthusiasts arent concerned and researchers say development is proceeding better than expected. The devices have the potential to accelerate drug discovery, crack encryption, speed up decision-making in financial transactions, improve machine learning, develop revolutionary materials and even address climate change and that barely scratches the surface, researchers say. The short-term hype is a bit high, says computational mathematician Steve Brierley, a founder of a quantum-computing firm. But the long-term hype is nowhere near enough.

Nature | 10 min read

Across Africa, 43% of people still do not have electricity and one of the causes is that highly indebted countries cant invest in research. Many countries find it impossible to pay off debts and protect public spending, which excludes them from expanding their scientific capabilities. Creditors should consider a debt-for-science swap, argues a Nature editorial: agree to waive some debt for countries that spend more on research.

Nature | 5 min read

The research system still tends to put power in the hands of just a handful of people. Universities should look to industry to learn how to better reflect how research is done today, argues a Nature editorial. (5 min read)

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Daily briefing: Quantum computers are all 'terrible' but researchers aren't worried - Nature.com

Artificial intelligence algorithms are quickly becoming a part of everyday life. Many systems that require strong security are either already underpinned by machine learning or soon will be. These systems include facial recognition, banking, military targeting applications, and robots and autonomous vehicles, to name a few.

This raises an important question: how secure are these machine learning algorithms against malicious attacks?

In an article published today in Nature Machine Intelligence, my colleagues at the University of Melbourne and I discuss a potential solution to the vulnerability of machine learning models.

We propose that the integration of quantum computing in these models could yield new algorithms with strong resilience against adversarial attacks.

Machine learning algorithms can be remarkably accurate and efficient for many tasks. They are particularly useful for classifying and identifying image features. However, theyre also highly vulnerable to data manipulation attacks, which can pose serious security risks.

Data manipulation attacks which involve the very subtle manipulation of image data can be launched in several ways. An attack may be launched by mixing corrupt data into a training dataset used to train an algorithm, leading it to learn things it shouldnt.

Manipulated data can also be injected during the testing phase (after training is complete), in cases where the AI system continues to train the underlying algorithms while in use.

People can even carry out such attacks from the physical world. Someone could put a sticker on a stop sign to fool a self-driving cars AI into identifying it as a speed-limit sign. Or, on the front lines, troops might wear uniforms that can fool AI-based drones into identifying them as landscape features.

Read more: AI to Z: all the terms you need to know to keep up in the AI hype age

Either way, the consequences of data manipulation attacks can be severe. For example, if a self-driving car uses a machine learning algorithm that has been compromised, it may incorrectly predict there are no humans on the road when there are.

In our article, we describe how integrating quantum computing with machine learning could give rise to secure algorithms called quantum machine learning models.

These algorithms are carefully designed to exploit special quantum properties that would allow them to find specific patterns in image data that arent easily manipulated. The result would be resilient algorithms that are safe against even powerful attacks. They also wouldnt require the expensive adversarial training currently used to teach algorithms how to resist such attacks.

Beyond this, quantum machine learning could allow for faster algorithmic training and more accuracy in learning features.

Todays classical computers work by storing and processing information as bits, or binary digits, the smallest unit of data a computer can process. In classical computers, which follow the laws of classical physics, bits are represented as binary numbers specifically 0s and 1s.

Quantum computing, on the other hand, follows principles used in quantum physics. Information in quantum computers is stored and processed as qubits (quantum bits) which can exist as 0, 1, or a combination of both at once. A quantum system that exists in multiple states at once is said to be in a superposition state. Quantum computers can be used to design clever algorithms that exploit this property.

However, while there are significant potential benefits in using quantum computing to secure machine learning models, it could also be a double-edged sword.

On one hand, quantum machine learning models will provide critical security for many sensitive applications. On the other, quantum computers could be used to generate powerful adversarial attacks, capable of easily deceiving even state-of-the-art conventional machine learning models.

Moving forward, well need to seriously consider the best ways to protect our systems; an adversary with access to early quantum computers would pose a significant security threat.

The current evidence suggests were still some years away from quantum machine learning becoming a reality, due to limitations in the current generation of quantum processors.

Todays quantum computers are relatively small (with fewer than 500 qubits) and their error rates are high. Errors may arise for several reasons, including imperfect fabrication of qubits, errors in the control circuitry, or loss of information (called quantum decoherence) through interaction with the environment.

Still, weve seen enormous progress in quantum hardware and software over the past few years. According to recent quantum hardware roadmaps, its anticipated quantum devices made in coming years will have hundreds to thousands of qubits.

These devices should be able to run powerful quantum machine learning models to help protect a large range of industries that rely on machine learning and AI tools.

Worldwide, governments and private sectors alike are increasing their investment in quantum technologies.

This month the Australian government launched the National Quantum Strategy, aimed at growing the nations quantum industry and commercialising quantum technologies. According to the CSIRO, Australias quantum industry could be worth about A$2.2 billion by 2030.

Read more: Australia has a National Quantum Strategy. What does that mean?

Read more:
From self-driving cars to military surveillance: quantum computing can help secure the future of AI systems - The Conversation

With advanced digitalization technologies possibly standing poised to catalyze a seismic paradigm shift, investors should consider quantum computing stocks for millionaires (or at least those who aspire to be millionaires).As the AWS website under Amazon (NASDAQ:AMZN) states, quantum computing is a multidisciplinary field comprising aspects of computer science, physics, and mathematics that utilizes quantum mechanics to solve complex problems faster than on classical computers. Stated differently, the computer as we know is about to get a makeover, bolstering relevance for top quantum computing stocks.

According to Precedence Research, the global quantum computing market reached a valuation of $10.13 billion in 2022. However, experts project that by 2030, the sector could command a valuation of $125 billion. For speculators, its well worth considering millionaire quantum computing stock picks.To be sure, because of the novel market, investors should be prepared for wild unpredictability. Nevertheless, investing in quantum computing stocks could lead to life-changing returns.

Source: shutterstock.com/LCV

Initially, the inclusion of IBM (NYSE:IBM) as one of the quantum computing stocks for millionaires might not make sense. After all, this segment is supposed to be about high-risk, high-reward speculation. However, if youre interested in taking the more surefire, steady approach to being a millionaire, Big Blue makes plenty of sense.

Fundamentally, IBM belongs in the discussion for top quantum computing stocks thanks to its myriad innovations in the sector. For example, the company produced Qiskit Runtime, which is IBMs quantum computing service and programming model.

Financially, IBM carries a decent profile: nothing too positively remarkable but nothing too horrible either. Notably, IBM trades at a forward multiple of 13.44. As a discount to projected earnings, Big Blue ranks better than 79.51% of the competition. Also, its dividend yield comes out to 5.46%, which is quite generous.

Finally, Wall Street analysts peg IBM as a moderate buy. Their average price target lands at $147.38, implying nearly 16% upside potential.

Source: Boykov / Shutterstock.com

Based in Berkeley, California, Rigetti Computing (NASDAQ:RGTI) develops quantum integrated circuits used for quantum computers. Per its website, Rigetti specializes in fusing artificial intelligence and machine learning, thereby allowing the company to address the worlds most important and pressing problems. A wildly risky investment, RGTI only gained a bit more than half a percent in the year so far.

Most of that stems from shares popping up nearly 45% on the May 22 session, rising in sympathy with quantum computing rival D-Wave Quantum (NYSE:QBTS). If you follow the sector closely, youll know that QBTS skyrocketed almost 111% on Monday. However, plenty of traders dont want to overexpose themselves to extreme strength, making RGTI a potentially intriguing alternative for quantum computing stocks for millionaires.

To be sure, its financially a high-risk proposition. According to Zacks Equity Research, Rigetti came out with a quarterly loss of 19 cents for its first-quarter earnings report, missing the consensus estimate of a loss of 16 cents. On the positive side, Rigetti carries a relatively strong cash-to-debt ratio of 3.27.Still, despite some flaws, analysts peg RGTI as a consensus moderate buy. Their average price target clocks in at $1.25, implying over 70% upside potential.

Source: Bartlomiej K. Wroblewski / Shutterstock.com

For those that want to take their quantum computing stocks for millionaires to the extreme, Quantum Computing (NASDAQ:QUBT) may be what youre looking for. A full-stack quantum software and hardware company, Quantum seeks to accelerate the value of quantum computing for real-world business solutions, per its website. To help bring about this goal, the company bought out QPhoton, which specializes in quantum photonic systems (QPS).

Although fundamentally exciting, prospective investors must recognize that QUBT represents a high-risk, high-reward venture. In the trailing one-year period, for example, QUBT stumbled by more than 17%. Over the past five years, shares hemorrhaged 79% of equity value.

Financially, circumstances arent exactly confidence-building. In the first quarter of 2023, Quantum posted revenue of only $120,000. On the bottom line, it incurred a net loss of $8.51 million. Overall, the company features only middling fiscal stability, making it one of the riskier quantum computing stocks to buy.That said, Ascendiant analyst Edward Woo pegs QUBT as abuy. The expert forecasts a price target of $9.25, implying almost 612% upside potential.

On the date of publication, Josh Enomoto did not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

A former senior business analyst for Sony Electronics, Josh Enomoto has helped broker major contracts with Fortune Global 500 companies. Over the past several years, he has delivered unique, critical insights for the investment markets, as well as various other industries including legal, construction management, and healthcare.

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3 Quantum Computing Stocks to Make You the Millionaire Next Door - InvestorPlace