Core Insights - Marvell Technology, Inc. has achieved successful interoperability of its Structera portfolio of CXL devices with AMD EPYC CPUs and 5th Gen Intel Xeon platforms, addressing the increasing demands for memory bandwidth and capacity in cloud data centers [1][2] Group 1: Interoperability and Collaboration - The collaboration between Marvell, AMD, and Intel involved extensive testing of Structera CXL products across various configurations, demonstrating seamless interoperability and high-performance memory expansion for cloud data center providers [2][3] - This interoperability allows customers to select from various CPU architectures, maximizing their investment while ensuring consistent performance across diverse hardware configurations [3][4] Group 2: Product Features and Benefits - The Structera product family, built on CXL 2.0, enables significant increases in memory capacity and bandwidth, as well as the addition of computing cores for memory-intensive applications like AI and high-performance computing [5][6] - Key products include Structera A, featuring server-class Arm Neoverse V2 cores and up to 1.6 Tbps of memory bandwidth, and Structera X, which supports DDR4 and DDR5 DIMMs for terabytes of memory capacity [7] Group 3: Strategic Goals and Industry Impact - Marvell aims to advance high-performance, scalable, and energy-efficient solutions for next-generation data centers, promoting sustainable architectures through optimized resource utilization and reduced server needs [6][8] - The collaboration with AMD and Intel is positioned to drive the growth of the CXL ecosystem, enhancing memory efficiency and reducing total cost of ownership for business-critical workloads [4][5]

Core Viewpoint - WiMi Hologram Cloud Inc. has developed a Quantum Computing-Based Feedforward Neural Network (QFNN) algorithm that addresses computational bottlenecks in traditional neural network training, utilizing Quantum Random Access Memory (QRAM) for efficient data processing [1][10]. Quantum Algorithm Development - The QFNN algorithm incorporates key quantum computing subroutines, particularly in the feedforward and backpropagation processes, providing exponential speedup in both stages of neural network training [2][4]. - Classical feedforward propagation, which involves multiple matrix-vector multiplications, is enhanced by the quantum algorithm through the use of quantum state superposition and coherence, allowing computations to be performed in logarithmic time [3][6]. Computational Efficiency - The quantum algorithm significantly reduces computational complexity, shifting from a dependency on the number of connections (O(M)) in classical networks to a dependency solely on the number of neurons (O(N)) in the quantum framework [6][7]. - This reduction in complexity leads to at least a quadratic speedup in training large-scale neural networks, making it particularly advantageous for ultra-large-scale datasets [7]. Overfitting Mitigation - WiMi's quantum algorithm demonstrates inherent resilience to overfitting, a common issue in deep learning, due to the intrinsic uncertainty of quantum computing, which acts similarly to regularization techniques [8][9]. Application Prospects - The QFNN algorithm has broad application potential in fields requiring high computational speed and data scale, such as financial market analysis, autonomous driving, biomedical research, and quantum computer vision [10][11]. - Additionally, the research lays the groundwork for quantum-inspired classical algorithms that can optimize computational complexity on traditional computers, providing a transitional solution until quantum computers become widely available [10]. Future Implications - The advancement of WiMi's QFNN algorithm marks a significant milestone in the intersection of quantum computing and machine learning, suggesting that quantum neural networks will play a crucial role in the future of artificial intelligence [11][12].

Core Insights - Cadence Design Systems, Inc. has launched the first DDR5 12.8Gbps MRDIMM Gen2 memory IP system solution, utilizing TSMC's advanced N3 process node to meet the increasing demand for memory bandwidth driven by AI, ML, HPC, and enterprise data processing workloads [1][2] Product Development - The new memory solution delivers a data rate of 12.8Gbps, effectively doubling the bandwidth of standard DDR5 6400Mbps DRAM, while maintaining industry-leading RAS and ultra-low latency encryption features [2] - The DDR5 MRDIMM Gen2 system includes a complete memory subsystem with an integrated PHY and controller, validated in hardware using Gen2 MRDIMM modules, enabling next-gen memory bandwidth and performance for AI chips, server processors, and data center SoCs [2] Collaborations and Ecosystem - Cadence has engaged with multiple top-tier AI, HPC, and data center solution providers, highlighting collaborations with Micron and Montage Technology to ensure interoperability and system-level performance for customers [3][4] - Micron's 1-gamma DRAM and Montage Technology's memory buffer chips are essential for achieving the full potential of MRDIMM modules [4] Verification and Integration - Cadence provides Verification IP (VIP) for DDR5, which includes complete IP to system-level validation, DFI VIP, robust DDR5 memory models, and an integrated System Performance Analyzer, facilitating faster and more confident verification closure [5] Market Expansion and Financial Outlook - The company is targeting new AI markets such as Life Sciences through its OpenEye drug discovery software and is expanding partnerships with foundry partners like TSMC, Intel, and Arm Holdings [6] - Revenue from the Core EDA segment is projected to increase by 13.9% to $3.75 billion in 2025, driven by investments in verification and digital design products [6] Competitive Landscape - Cadence faces challenges including growing competition, risks associated with global operations, a significant amount of goodwill and intangible assets, and a high level of debt [7] - The company's stock has declined by 10.7% over the past year, compared to an 8.5% decline in the Zacks Computer – Software industry [8]

HOBOKEN, N.J., April 22, 2025 /PRNewswire/ -- Quantum Computing Inc. ("QCi" or the "Company") (Nasdaq: QUBT), an innovative, integrated photonics and quantum optics technology company, today announced that the Company has secured the sale of one of its EmuCore reservoir computers to a major automotive manufacturer. The device has since been shipped to the customer and will be used for research and development purposes. QCi's EmuCore reservoir computing device can be applied to solve a variety of problems re ...

Industry Overview - The computer storage devices industry is expected to benefit from growth in cloud computing, IoT, connected devices, virtual reality, and AI, leading to increased demand for data storage solutions [1] - The industry is currently ranked in the top 12% of the Zacks Industry Rank, indicating an expectation to outperform the market in the next three to six months [2] - The industry is on a growth trajectory due to the rapid increase in data, complexity of data formats, and the need for scalable resources [4] Company Insights: Super Micro Computer Inc. (SMCI) - SMCI is a total IT solution manufacturer focusing on AI/ML, Cloud, HPC, Storage, and 5G/Edge technologies, with its solutions gaining traction [7] - The company’s servers are optimized for NVIDIA's high-performance GPUs, positioning SMCI for profitable growth in AI clusters and hyperscale data centers [8] - SMCI's liquid-cooled server solutions address power and thermal challenges for large-scale AI workloads, enhancing customer retention and repeat business [9] - SMCI has an expected revenue growth rate of 59.2% and earnings growth rate of 15.4% for the current year, with a significant improvement in next year's earnings estimate [10] - The stock is currently trading at a 68.9% discount to its 52-week high, with a potential upside of 76.8% based on brokerage targets [12] Company Insights: Western Digital Corp. (WDC) - WDC is well-positioned to benefit from increasing sales in the Cloud market, driven by demand for nearline HDDs and lower operating expenses [15] - The company anticipates significant growth in 2025 due to rising demand from cloud providers and advancements in AI [16] - WDC expects generative AI adoption to drive storage demand across both HDD and Flash, leading to a refresh cycle in client and consumer devices [17] - WDC has an expected revenue growth rate of 25.7% and earnings growth rate of over 100% for the current year, with positive revisions for next year's estimates [19] - The stock is trading at a 40.5% discount to its 52-week high, with a potential upside of 85.7% based on brokerage targets [22]

Lam Research Corporation (LRCX) is scheduled to release its third-quarter fiscal 2025 results on April 23. The Zacks Consensus Estimate for earnings is pegged at $1 per share, calling for growth of 28.2% from the figure reported in the year-ago quarter. The earnings figure has been revised a penny upward over the past 60 days. (Find the latest EPS estimates and surprises on Zacks Earnings Calendar.) Image Source: Zacks Investment Research For the third quarter of fiscal 2025, the company expects revenues of ...

Core Insights - V2X has appointed Melon Yeshoalul as Senior Vice President and Chief Human Resources Officer effective April 21, 2025, to lead the company's global human resources strategy and operations [1][2] - Yeshoalul brings over two decades of experience in recruiting, compensation, and HR business partnering, having previously held senior leadership roles at Amazon Web Services, DXC Technology, PwC, and The Boeing Company [2][3] - The company aims to enhance its employee experience and strengthen its position as an employer of choice under Yeshoalul's leadership, focusing on building strong cultures and high-performing teams [2] Company Overview - V2X develops innovative solutions that integrate physical and digital environments, enhancing readiness, optimizing resource management, and boosting security across various markets including national security and defense [4] - The company employs approximately 16,000 professionals and leverages AI and machine learning capabilities to address complex challenges across operational domains [4]

Industry Overview - Financial technology (fintech) is a transformative investment space merging finance and technology, offering services like online banking, peer-to-peer payments, insurance, cryptocurrency, and cybersecurity [1] - The fintech space is expected to benefit from expanding transaction volumes due to the widespread adoption of digital means, accelerated by the pandemic [2] - The innovative nature of fintech positions it for significant growth, driven by consumer behavior shifting towards digital platforms for convenience and cost-effectiveness [4] Catalysts for Growth - The performance of the fintech sector is inversely related to interest rates; a recent reduction in the Federal Reserve's benchmark interest rates is expected to benefit fintech companies [3] - The rise of artificial intelligence (AI) and machine learning is revolutionizing banking, payments, and investments, providing efficient and secure financial solutions [5] Recommended Stocks - Five fintech stocks are recommended for long-term investment: Affirm Holdings Inc. (AFRM), StoneCo Ltd. (STNE), ACI Worldwide Inc. (ACIW), Coinbase Global Inc. (COIN), and OppFi Inc. (OPFI) [2][6] Company-Specific Insights Affirm Holdings Inc. (AFRM) - Affirm has strong revenue growth from diverse income streams, expecting revenues of $3.13-$3.19 billion in fiscal 2025, driven by growing active merchant numbers and improving gross merchandise value [7] - Key partnerships, including those with Apple Pay and Hotels.com, are crucial for Affirm's expansion, including a recent entry into the UK market [8] - Affirm's expected revenue and earnings growth rates are 36.9% and 96.4%, respectively, with a 60% improvement in earnings estimates over the last 30 days [9] - The average short-term price target indicates a potential increase of 70.6% from the last closing price of $40.76, suggesting a maximum upside of 111% [10] StoneCo Ltd. (STNE) - StoneCo is a leading provider of point-of-sale payment processing services, enabling businesses to accept various payment methods [11] - The company offers a full suite of products for e-commerce transactions and client management, utilizing transaction data for credit assessment [12] - StoneCo's expected revenue and earnings growth rates are 4.1% and -6.7%, respectively, with a 9.6% improvement in earnings estimates over the last 30 days [13] - The average short-term price target suggests a potential increase of 12.2% from the last closing price of $11.83, indicating a maximum upside of 86% [13] ACI Worldwide Inc. (ACIW) - ACI Worldwide provides software solutions for digital payments, powering electronic payments for over 5,000 organizations globally, including major financial institutions [15][16] - The company offers real-time payment capabilities and a comprehensive omni-channel payments experience [17] - ACIW's expected revenue and earnings growth rates are 6.8% and 6.1%, respectively, with a 2.6% improvement in earnings estimates over the last 30 days [18] - The average short-term price target indicates a potential increase of 22.9% from the last closing price of $51.31, suggesting a maximum upside of 38.4% [18] Coinbase Global Inc. (COIN) - Coinbase provides financial infrastructure for the crypto economy, offering a user-friendly platform for consumers and sophisticated trading features for experienced users [19][20] - The expected revenue and earnings growth rates for Coinbase are 26.2% and 0.7%, respectively, with a 2.7% improvement in earnings estimates over the last 30 days [21] - The average short-term price target indicates a potential increase of 62.7% from the last closing price of $172.21, suggesting a maximum upside of 179.1% [22] OppFi Inc. (OPFI) - OppFi operates a financial technology platform that helps banks provide credit access to consumers, focusing on those turned away by mainstream options [23] - The expected revenue and earnings growth rates for OppFi are 9.7% and 12.6%, respectively, with a 10.3% improvement in earnings estimates over the last 60 days [25] - The average short-term price target indicates a potential increase of 38.4% from the last closing price of $8.35, suggesting a maximum upside of 55.7% [25]

Core Insights - One Stop Systems, Inc. (OSS) has made significant progress in 2024, positioning itself in the high-performance edge compute (HPeC) market for AI and machine learning [2][3] - The company executed a multi-year strategy focused on higher-margin opportunities, resulting in a strengthened sales pipeline exceeding $1 billion [4][6] - OSS anticipates consolidated revenue of $59 to $61 million for 2025, with OSS segment revenue expected to grow over 20% year-over-year [13] Company Progress - In 2024, OSS achieved sequential revenue growth every quarter, expanding order volumes and strengthening its sales pipeline [3] - The company created a new customer-funded development revenue stream, which grew by 118% to $3.7 million, indicating a focus on military and commercial applications [7][8] - OSS's defense market growth was driven by new and existing programs, including significant contracts with the U.S. Army and Navy [9][10] Market Opportunities - OSS is pursuing a potential $200 million multi-year opportunity in the composable infrastructure/datacenter market, with initial contracts already established [11] - The company expects to transition development programs from 2024 into production orders in 2025, particularly in healthcare and aerospace sectors [7][12] - Despite economic uncertainties, OSS sees increasing demand across its commercial and defense markets, with a projected book-to-bill ratio of 1.2x for 2025 [12][14] Financial Outlook - The company expects to be EBITDA break-even for the full year of 2025, with revenue and profitability anticipated to improve significantly in the second half of the year [13] - OSS's investments in 2023 and 2024 have laid a solid foundation for scaling the business and capturing transformative revenue opportunities [16]

Core Insights - Decoy Therapeutics, Inc. is set to merge with Salarius Pharmaceuticals, Inc., with the new entity retaining the name Decoy Therapeutics, following the completion of the merger [1][10] - Renowned MIT Professor Robert S. Langer will join Decoy's Scientific Advisory Board, bringing extensive expertise in drug delivery systems and tissue engineering [1][2][3] Company Overview - Decoy Therapeutics is a preclinical-stage biotechnology company focused on developing peptide-conjugate therapeutics targeting unmet medical needs, particularly in respiratory viruses and gastrointestinal cancers [8] - The company utilizes a proprietary IMP3ACT platform that integrates machine learning and AI for rapid design and synthesis of novel antiviral and cancer therapies [5][7] Scientific Advisory Board - Dr. Robert S. Langer's appointment to the Scientific Advisory Board is expected to enhance Decoy's capabilities in drug design and development, particularly in dosage forms and administration routes [3][4] - Dr. Langer's contributions to the field include pioneering work that has led to transformative medicines, such as Roche's Avastin and Moderna's Spikevax [2][4] Technology and Innovation - Decoy's IMP3ACT platform allows for the rapid computational design of peptide-conjugate drugs, which have shown effectiveness against various human coronaviruses and other viral pathogens [5][7] - The technology leverages peptide chemistry to create multimeric conjugates that improve drug-like properties and pharmacokinetics [7] Financial and Strategic Position - Decoy has secured financing from institutional investors and non-dilutive capital sources, including the Massachusetts Life Sciences Seed Fund and the Google AI startup program [8] - The merger with Salarius is structured such that Decoy investors will own approximately 86% of the merged company, while Salarius stockholders will own about 14% [10]