updraftplus domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/aonyeani76/cryptocurrencypanther/wp-includes/functions.php on line 6131hustle domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/aonyeani76/cryptocurrencypanther/wp-includes/functions.php on line 6131wpforms-lite domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/aonyeani76/cryptocurrencypanther/wp-includes/functions.php on line 6131Cardano founder Charles Hoskinson has outlined a strategy to secure the network in a post-quantum world.
In a Feb. 20 broadcast, he emphasized the urgency of adapting blockchain systems as quantum computing advances.
Hoskinson’s comments come as he praises Microsoft’s Majorana 1 quantum chip. The Cardano founder said the technology is one of the most significant advancements in quantum computing history
Microsoft CEO Satya Nadella described the chip as small enough to fit in the palm of a hand yet capable of solving problems beyond the reach of all the world’s current computers.
Hoskinson stated that the network will introduce a proof chain that functions as an independent verification layer to prepare for this groundbreaking technology.
This additional security measure will leverage advanced cryptographic techniques, including Mithril certificates and post-quantum signatures, to maintain the integrity of past transactions.
However, Hoskinson noted that these solutions come with trade-offs, such as slower processing times and increased data requirements, which could introduce inefficiencies.
Nonetheless, he pointed out that the long-term objective is to integrate the proof chain into the main blockchain, transitioning from traditional elliptic curve cryptography to quantum-resistant alternatives.
He added that researchers are exploring new ledger models beyond the standard UTXO framework to enhance security and scalability.
Quantum computing is evolving rapidly, potentially outpacing cryptographic standards within the next decade.
Despite this urgency, post-quantum cryptography remains in its developmental stage, with multiple competing approaches, including hash-based and lattice-based encryption. To stay ahead of these challenges, Cardano will collaborate with industry experts and allocate significant resources to research.
Hoskinson furthered that while Cardano would prepare for this technology, the ecosystem would wait for industry-wide consensus before making significant modifications.
He noted that the quantum-resistant features could be introduced within the next few years, beginning with the proof chain, while fully adopting post-quantum security measures will take longer. However, research efforts will be a priority in the coming years to ensure the network remains resilient.
Tech giant Google took the world by storm on Monday by unveiling its quantum computing chip – Google Willow – while raising doubts on whether it can break the Bitcoin network in the future. For years, concerns have stayed that quantum computing is a threat to blockchain technology. While analyzing the prowess of Google’s computing chip, market analysts noted that it doesn’t pose any threat to the Bitcoin network in the near future.
To understand this, first, we need to have a basic understanding of the Bitcoin seed phrase. A Bitcoin seed phrase is a list of 12 or 24 random words that act as a master key to a wallet. These phrases are backed by Elliptic Curve Cryptography (ECC) and hashing algorithms, creating math problems so complex that even the fastest conventional computers can’t solve them.
However, quantum computers can potentially crack these codes much faster than classical computers by solving the Discrete Logarithm Problem using algorithms like Shor’s.
Now, the current power of Google Willow computing chip is 105 qubits. Although this chip can solve computational problems in less than 5 minutes, which would otherwise take 10^25 years, it still can’t breach into the Bitcoin ecosystem.
This is because to break into the Bitcoin network and decode its encryption, it would take an estimated 1 million qubits. Even cutting-edge quantum systems today cannot tackle problems as large as those posed by Bitcoin’s ECC. However, the buzz surrounding Willow’s threat to quantum computing has already led to Bitcoin and altcoin market correction earlier today.
Experts predict quantum computers could pose a realistic threat to Bitcoin in 10–20 years, depending on advancements in quantum hardware and error correction. A sufficiently powerful quantum could possibly break the BTC encryption while guessing the BTC seed phrases and its wallet key, thereby ultimately jeopardizing wallet security.
On the other hand, Bitcoin developers are actively exploring quantum-resistant cryptography, which involves creating new algorithms that even quantum computers would struggle to solve. Thus, although Google Willow is a groundbreaking chipset in the market, it is far from breaking through the Bitcoin network security at this point. However, as technology evolves, Bitcoin’s preparedness for future quantum advancements will remain a critical focus.
Market analysts noted that the Google Willow quantum chip was developed under controlled lab conditions. For it to pose a credible threat to cryptocurrency, two critical factors would need to align:
Currently, Bitcoin has been facing rejection at $100K levels amid huge selling pressure from long-term holders. As of press time, the BTC price is trading 1.27% down at $97,508 with a market cap of $1.929 trillion.
Disclaimer: The presented content may include the personal opinion of the author and is subject to market condition. Do your market research before investing in cryptocurrencies. The author or the publication does not hold any responsibility for your personal financial loss.
Bitdeer Technologies Group (BTDR), a leader in blockchain and high-performance computing technology, has announced a detailed R&D roadmap for its SEALMINER Bitcoin mining machines. This move underscores the company’s commitment to increasing transparency within the mining industry.
Bitdeer’s R&D roadmap for SEALMINER includes significant milestones planned for release over the next two years. Furthermore, it is focusing on improving energy efficiency with each new chip iteration.
SEAL01: The first chip in the series, SEAL01, boasts an energy efficiency of 18.1J/TH. Announced in March 2024, SEAL01 has been integrated into the SEALMINER A1 mining machine, which is expected to have a wall-mount power consumption between 20J/TH and 23J/TH. Mass production and delivery of the SEALMINER A1 are anticipated to begin in Q3 2024.
SEAL02: Set for release in Q3 2024, the SEAL02 chip is expected to achieve an energy efficiency of 14J/TH. Moreover, the corresponding SEALMINER machine aims for a wall-mount power consumption between 15J/TH and 16.5J/TH. Production and delivery are planned for Q4 2024.
SEAL03: The SEAL03 chip, scheduled for Q4 2024, aims to further reduce energy efficiency to 10J/TH. In addition, the optimized wall-mount power consumption for its mining machine is expected to range from 11J/TH to 12J/TH, with mass production and delivery targeted for Q2 2025.
SEAL04: The fourth chip, SEAL04, planned for Q2 2025, aspires to break through to an energy efficiency of 5J/TH. The wall-mount power consumption of its mining machine is expected to be between 5.5J/TH and 6J/TH. Mass production and delivery are anticipated to start in Q4 2025.
In the rapidly changing Bitcoin mining market, two transparency factors are crucial. Miners need clear expectations regarding future technological advancements and delivery schedules of mining machines. Additionally, access to detailed data analytics on mining machine performance, inventory, and purchasing behaviors is essential.
Linghui Kong, Chief Business Officer of Bitdeer, emphasized that without addressing these transparency issues, miners could face significant financial risks due to price uncertainties. Moreover, he added, “Thus, we are pleased to narrow this information gap by disclosing our R&D technology roadmap for SEALMINER.”
By disclosing this detailed R&D roadmap, Bitdeer aims to close the information gap that often plagues the mining community. The company believes that transparency in technological advancements and delivery schedules can help miners better plan their investments and reduce financial risks.
In addition, Bitdeer’s commitment to research and development is evident in its dedicated team of engineers specializing in ASIC design, algorithm development, platform architecture, and both software and hardware engineering. The company plans to continue investing in R&D to maintain its competitive edge. The move will ensure that its products remain efficient, sustainable, and reliable.
Moreover, the Bitcoin mining company remains dedicated to working alongside its customers. Furthermore, they significantly contribute to the security and stability of the decentralized Bitcoin network. By providing clear information on their technological advancements and maintaining open communication with their clients, Bitdeer aims to foster a more secure and transparent mining industry.
The presented content may include the personal opinion of the author and is subject to market condition. Do your market research before investing in cryptocurrencies. The author or the publication does not hold any responsibility for your personal financial loss.
Cerebras Systems has introduced the Wafer Scale Engine 3 (WSE-3), marking a significant milestone in developing chips designed for generative artificial intelligence (AI).
The announcement, made on March 13, 2024, positions the WSE-3 as the world’s largest semiconductor, aimed at advancing the capabilities of large language models with tens of trillions of parameters. This development comes on the heels of the intensifying race in the tech industry to create more powerful and efficient AI models.
The WSE-3 chip improves the performance of its predecessor, WSE-2, two times without an increase in power consumption or cost. This accomplishment is celebrated as one of the strides made per Moore’s Law, which states that chip circuitry is expected to become twice as complex approximately every 18 months.
Consequently, the WSE-3 chip, manufactured by TSMC, shows a decrease in the transistor size from 7 nanometers to 5 nanometers, which increases the transistor count to 4 trillion on a chip the size of almost an entire 12-inch semiconductor wafer. This increase results in a doubling of the computational power from 62.5 petaFLOPs to 125 petaFLOPs, thus improving the chip’s efficiency in training AI models.
Cerebras’ WSE-3 substantially surpasses the industry standard, Nvidia’s H100 GPU, in size, memory, and computational capabilities. Featuring 52 times more cores, 800 times larger on-chip memory, and significant improvements in memory bandwidth and fabric bandwidth, the WSE-3 delivers the largest performance improvements ever targeted at AI computations.
These improvements allow the training of substantial neural networks, including a hypothetical 24 trillion parameter model on a single CS-3 computer system, demonstrating the vast potential of WSE-3 in speeding up AI model development.
The release of the WSE-3 is associated with improvements in the training and inference phases of AI model development. Cerebras emphasizes the chip’s capability to simplify the programming process since it requires much fewer lines of code than GPUs for modeling GPT-3. The simplicity with which 2,048 machines could be clustered and trained makes this design able to train large language models 30 times faster than the current leading machines.
Cerebras has additionally revealed a tie-up with Qualcomm to improve the inference part, which is about predicting based on the AI model trained. Through methods like sparsity and speculative decoding, the partnership seeks to reduce the computational costs and energy usage of generative AI models to the bare minimum.
As a result, this collaboration signifies a strategic move towards optimizing the efficiency of AI applications, from training to real-world deployment.
Read Also: Charles Hoskinson Eyes Lightweight Consensus for Cardano
The presented content may include the personal opinion of the author and is subject to market condition. Do your market research before investing in cryptocurrencies. The author or the publication does not hold any responsibility for your personal financial loss.
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