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EdgeTI Announces Closing of Acquisition of Austal Australia's Technology Division
TMX Newsfile· 2026-01-06 08:01
Core Viewpoint - Edge Total Intelligence Inc. has successfully completed the acquisition of technology assets from Austal Limited, enhancing its capabilities in aviation and marine applications [1][2]. Group 1: Acquisition Details - The acquisition includes a 100% interest in various software products, including a planning software for aviation, a branched LUSI solution, and an enterprise asset management software suite focused on marine applications [1]. - The company issued 6,075,459 subordinate voting shares to Austal as part of the transaction, representing 9.9% of the issued and outstanding shares at a deemed price of C$1.00 per share [2]. Group 2: Rights and Obligations - Austal has been granted a right of first refusal to partner with the company in utilizing the acquired assets in specific global markets, including Australia, the United States, and several other countries [3]. - Austal has the right to nominate one individual for election to the company's board of directors, which will remain until Austal's shareholding falls below 5% for more than 20 consecutive days [3]. Group 3: Transition and Conditions - Key personnel from Austal will transition to the company to ensure continuity of service for Austal's programs and customers [4]. - If the company does not complete an uplisting transaction to NASDAQ or NYSE within 12 months, or if certain conditions are not met, all rights to the acquired assets will revert back to Austal [4]. Group 4: Company Background - Austal is recognized as a global leader in shipbuilding and defense contracting, having built over 300 vessels for more than 100 operators in 54 countries [6]. - Edge Total Intelligence Inc. specializes in real-time digital operations and decision intelligence solutions, aiming to provide clarity and agility in business operations [7].
Datavault AI and The Dream Bowl to Set New Benchmark in Sports Innovation with World's First Tokenized Autograph Session, Featuring Current and Future NFL Stars - Live on ESPN+
Accessnewswire· 2026-01-02 18:50
Group 1 - 30 former NFL star players from various teams will participate in autographing up to 3,000 memorabilia items [1] - Memorabilia items include helmets, footballs, and jerseys, which will be autographed on-site [1] - The event will feature live autographs facilitated by Notable Live [1] Group 2 - Autographed memorabilia will be supported by Prova & Sumerian technologies [1] - Digital twins of the memorabilia will be tokenized using Data Vault [1]
Raleigh Builds a Smart City With AI and Digital Twins
NVIDIA· 2025-12-17 17:59
excited about the future of AI and how it's impacting [music] smart cities. I think one of our uh one of our greatest examples of a smart city system [music] has been our partnership between Ezri, Nvidia, Microsoft, and the city of Raleigh looking at their traffic system [music] and really trying to create a digital twin of how [music] traffic is moving through their city and giving their city planners and their traffic managers [music] visibility into that flow and also allowing them to plan for better way ...
4 Medical Device Stocks to Buy for Healthy Returns in 2026
ZACKS· 2025-12-15 13:56
Industry Overview - The MedTech industry faced significant uncertainties in 2025 due to shifting trade policies, reduced federal funding, and supply-chain disruptions, yet it generated $584 billion in revenues, marking seven consecutive years of growth [1][2] - M&A activity in the industry shifted towards fewer but larger deals, with the average transaction size increasing by 11% from 2024 [2] - Rapid technological advancements, particularly in AI and data science, are reshaping the industry, with over 250 AI-enabled devices authorized by the FDA by September 2025 [3] Key Companies - Intuitive Surgical (ISRG) is expected to achieve 14.3% revenue growth in 2026, driven by the demand for its da Vinci surgical systems and recent FDA clearances [10][11] - Insulet (PODD) reported over $700 million in revenues for Q3 2025, with anticipated revenue and EPS growth of 19.8% and 26.3% respectively in 2026, supported by the expansion of its Omnipod portfolio [12][13] - Boston Scientific (BSX) is projected to see revenue and EPS growth of 11.1% and 13.6% respectively in 2026, bolstered by the success of its WATCHMAN device and FARAPULSE technology [14][15] - IDEXX Laboratories (IDXX) is expected to grow revenues and EPS by 8.9% and 11.6% respectively in 2026, driven by innovations in its Companion Animal Group business [16][17] Medical Advances - Regenerative medicine is emerging as a promising field for treating various injuries and diseases, utilizing stem cells and gene editing technologies [5] - Digital Twins technology is projected to grow at a CAGR of 16.6% from 2025 to 2032, enhancing personalized treatment strategies [6] - AI-powered robotic surgery has shown a 25% reduction in operative time and a 30% decrease in intraoperative complications compared to manual methods [7]
Synopsys CEO Sassine Ghazi talks quarterly results as stock pops more than 7%
CNBC Television· 2025-12-10 23:24
Cassine Gazi Ceine uh the numbers overall looking good here and of course you got answers as part of the picture now uh last quarter a lot of talk about the IP business so tell me is that uh getting any more predictable and how does that affect not only this quarter but how you're looking at the coming year >> hey John great to be here yes for Q4 and the FY26 guide you can look at it as a combination of meat and beat on the top line and bottom line which is very exciting As far as Q3, we did hit a bump with ...
Nvidia Just Piled $2 Billion Into This Artificial Intelligence (AI) Chip Designer. Should Investors Follow Suit?
The Motley Fool· 2025-12-03 10:02
Core Insights - Nvidia has been a significant player in the AI industry, investing billions into AI-related ventures and becoming a bellwether for the sector since the launch of ChatGPT on November 30, 2022 [1][2] Strategic Partnership and Investment - Nvidia announced a multiyear collaboration with Synopsys, focusing on expanding the reach of its Compute Unified Device Architecture (CUDA) and developing capabilities in agentic AI, physical AI, and Omniverse digital twins [3][4] - Nvidia purchased over 4.8 million shares of Synopsys common stock, valued at approximately $2 billion, to enhance its strategic partnership [4] - The collaboration aims to accelerate Synopsys' electronic design automation (EDA) processes using Nvidia's CUDA libraries, improving design, simulation, and verification of intelligent products [5] Investment Landscape - Since the beginning of 2024, Nvidia and its venture capital arm, NVentures, have made 117 investments totaling over $62 billion, with the $2 billion stake in Synopsys representing about 3% of its AI-centric holdings [8] - Nvidia's partnership with OpenAI, announced in September, involves a $100 billion investment contingent on the deployment of AI data centers built on Nvidia's GPUs, indicating a broad investment strategy across the AI ecosystem [9] Synopsys Performance - Synopsys reported fiscal 2025 third-quarter revenue of $1.74 billion, a 14% year-over-year increase, but earnings per share (EPS) fell 43% to $1.51, attributed to a decline in design intellectual property revenue [11] - The company lowered its fourth-quarter guidance to $2.25 billion, missing Wall Street expectations and reflecting challenges from acquisition-related expenses and export restrictions [12] - Synopsys' stock is currently valued at 34 times earnings, raising concerns about its high valuation amidst ongoing challenges [13]
JuliaHub s'associe à Synopsys pour réaliser des jumeaux numériques basés sur SciML
Prnewswire· 2025-11-20 04:39
Core Insights - JuliaHub has announced a strategic partnership with Synopsys to integrate its Dyad platform into Synopsys's Ansys TwinAI software, enhancing AI-driven simulation capabilities [1][10] - The collaboration aims to combine JuliaHub's expertise in AI-informed physics simulation with Synopsys's digital twin technology, accelerating innovation and improving design accuracy [1][4] Company Overview - JuliaHub specializes in AI-native simulation and modeling, focusing on scientific machine learning (SciML) and digital twin modeling across various sectors including pharmaceuticals, aerospace, and automotive [6] - Synopsys is recognized for its reliable simulation ecosystem and is integrating Dyad to enhance its TwinAI software, which supports advanced simulation engines and cloud deployment [5][6] Technology Integration - The integration of Dyad will enable TwinAI to create hybrid digital twins that are predictive and based on physical laws, enhancing the accuracy of simulations [3][4] - Dyad's capabilities include causal modeling and automatic equation generation, facilitating the design and scaling of complex multi-domain systems [4][7] Future Developments - Upcoming versions of Ansys TwinAI will progressively incorporate Dyad features, with more details to be announced [5]
Synopsys Demonstrates Framework for Optimizing Manufacturing Processes with Digital Twins at Microsoft Ignite
Prnewswire· 2025-11-18 20:00
Core Insights - Synopsys, in collaboration with Microsoft, has launched a simulation-driven framework that optimizes manufacturing processes in real time, initially deployed by Krones for bottle filling assembly lines [2][4][6] Group 1: Framework and Technology - The framework utilizes NVIDIA Omniverse libraries, NVIDIA CUDA-X libraries, and Microsoft Azure to enhance simulation capabilities, allowing for rapid scenario analyses and continuous improvements [3][5] - Traditional computational fluid dynamics (CFD) simulations can take hours, but Synopsys' GPU-accelerated simulation solver reduces this time to under 5 minutes, providing a significant competitive advantage [3][6] Group 2: Industry Impact - Krones has achieved an industry-first deployment of this framework, showcasing the potential of digital transformation and collaboration in manufacturing [4][7] - The framework supports real-time scenario comparison and optimization, enabling immediate adjustments and data-driven decision-making, which enhances resource allocation and reduces product waste [8] Group 3: Collaboration and Future Prospects - The partnership between Synopsys, NVIDIA, and Microsoft exemplifies how cross-industry collaboration can reshape industrial innovation and drive the next phase of digital transformation [9] - The open-source framework is designed for customizable deployments, establishing a foundation for various simulation-driven applications across different industries [5][7]
The Pillars of Digital Transformation that Powers Real Change | Vinayak Kharche | TEDxNerul
TEDx Talks· 2025-11-10 17:57
Digital Transformation Challenges - 70% to 80% of projects fail due to improper planning, not technological difficulties [4] - Lack of clear vision and strategy leads to digital project failures [4][5] - Digital initiatives failing to align with business objectives results in project failure [5] - Isolated organizational structures and lack of inter-departmental collaboration hinder data sharing and project execution [6] - Inadequate data management and legacy systems incompatible with new digital technologies impede data sharing [7] - Insufficient data availability, especially for AI-driven initiatives, leads to project failures [8] - Underestimation of cost, time, and effort for digital transformation programs, coupled with pressure on ROI, can cause impatience and project failure [9] Key Success Factors for Digital Transformation - Empowering employees with the right insights derived from sufficient data is crucial for timely decision-making [12] - Implementing systems that adapt and learn from past data is essential to avoid obsolescence [13] - Adapting processes to accommodate new modern data technologies is necessary for successful technology adoption [13][14] - Data sits at the center of people, process, and technology, coordinating to provide the right insights at the right time [14] - Automating processes with digital technologies minimizes human intervention and accelerates work [15]
Tutelare i Beni Culturali con l'AI | Claudia Masciulli & Paolo Mazzanti | TEDxRovigo
TEDx Talks· 2025-11-07 15:36
Cultural Heritage Preservation Challenges - Current monitoring efforts are insufficient, with a single monitoring cycle for 50,000 cultural assets potentially taking over 6 years [7] - Resource prioritization leads to unequal attention for cultural assets, similar to triage in emergency medicine [8][9] - Traditional methods for cultural heritage management face delays due to budget constraints, specialist availability, and authorization processes [12][13] Technological Opportunities - Digital tools, including AI, can analyze thousands of images simultaneously to detect subtle changes and anomalies in cultural assets, reducing analysis time from months to near-instantaneous [17] - Smartphones with high-resolution cameras (e.g., 48 megapixel) can capture details often invisible to the naked eye [21] - The widespread use of smartphones presents an opportunity to create a distributed, real-time monitoring network for cultural heritage [22][23] Citizen Engagement - The 6.5 billion smartphone users globally represent a vast network of potential "technological sentinels" [24] - Encouraging tourists and citizens to share photos of cultural sites can contribute to a comprehensive digital map for preservation efforts [26][27] - Shifting the perception of tourism from "overtourism" to collaborative preservation is crucial [28]