新闻动态

Simulations Plus, Inc., a global leader in model-informed and AI-accelerated drug development that advances biopharma innovation, announced the launch of a technical collaboration with NVIDIA focused on enabling GPU-accelerated simulation and AI-assisted workflows for computationally intensive modeling applications within the drug development lifecycle. The collaboration brings together Simulations Plus’ validated scientific engines across physiologically-based pharmacokinetics (PBPK), pharmacokinetics/pharmacodynamics (PK/PD), and quantitative systems pharmacology (QSP) with NVIDIA AI infrastructure to accelerate and scale simulation cycles, parameter exploration, and virtual population studies. Together, these capabilities address two core constraints in model-informed drug development (MIDD): reducing manual, expertise-driven work and enabling large-scale exploration of model structures and parameters in parallel—shifting modeling from a sequential process to a more iterative, data-informed workflow operating at program-relevant timelines. NVIDIA contributes advanced computing infrastructure and expertise in accelerated inference and GPU-native optimization to improve simulation performance and enable interactive, AI-assisted workflows. NVIDIA also brings access to its life sciences ecosystem,

Siemens has entered into a strategic partnership with Xometry, the global, AI-native marketplace connecting buyers and suppliers of custom manufacturing. The partnership will allow Siemens to embed proprietary manufacturability, pricing, sourcing and lifecycle intelligence directly into the design digital thread, natively within Siemens Xcelerator. This partnership builds on Siemens’ broader supply chain intelligence vision, where Siemens’ Supplyframe brings deep design-to-source intelligence across electronic components and Xometry extends that intelligence into standard and custom mechanical parts through its digital marketplace business and Thomas, Xometry’s extensive North American industrial sourcing network. In addition to the integration within Siemens’ Designcenter™ software, the partnership includes integration of Thomas, Xometry’s North American industrial sourcing network, with Siemens’ Supplyframe to bring deep design-to-source intelligence for both electronic and mechanical components to completely source the Bill of Materials (BOM) for Siemens’ customers. The partnership is accompanied by a minority investment into Xometry of approximately $50 million1, reflecting Siemens’ conviction that AI-powered execution

Uniphore, the Business AI Company, and LTM, the Business Creativity partner to the world's largest enterprises, announced a strategic partnership focused on the joint development of industry- and domain-specific AI solutions that combine small language models (SLMs), AI agents, and deep domain expertise. As AI adoption matures, enterprises are shifting to smaller, purpose‑built models and agents for greater precision and control. The partnership brings this approach to core business processes with governance, security, and compliance by design. Uniphore’s Business AI Cloud will power LTM’s BlueVerse™ ecosystem and global delivery, unifying enterprise data, models, and AI agents on a secure, sovereign platform. LTM will drive industry expertise, client implementation, and AI‑led transformation, while Uniphore provides the foundation for building and fine‑tuning domain‑specific SLMs. The partnership will initially focus on banking, financial services, and insurance (BFSI), manufacturing, and media and entertainment, co-developing solutions to support workflows such as financial planning and analysis (FP&A), contract

SAP SE announced it has completed the acquisition of Reltio, a leading master data management (MDM) software provider. The acquisition helps customers make their SAP and non-SAP enterprise data AI-ready and will provide customers with the tools they need to unify, cleanse and harmonize data across sources for superior enterprise-wide agentic AI. To view the original press release, please click here. Search for SAP SE on CIMdata.com

Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, announced that a subsidiary of Renesas has completed the acquisition of Irida Labs, a Greece-based company specializing in embedded software for AI-powered visual perception systems. The acquisition strengthens Renesas’ edge AI embedded processing offerings, a key secular growth area for Renesas. It also enables system-level solutions that integrate physical AI and software to power camera and machine vision systems across industrial, robotics, smart city, IoT, agricultural and healthcare markets. As part of Renesas’ Digitalization strategy, Irida Labs’ software and tools will be integrated into Renesas 365, a newly released platform that unifies electronics system development from discovery to development and lifecycle management.  While the demand for intelligent systems at the edge continues to soar across industries, developers must often overcome growing complexity of AI system development. This includes the integration of power-constraint embedded processors and software, training and deploying AI models and addressing latency and security risks associated with data transmission. Vision AI software plays a critical role in interpreting and processing visual data from cameras and sensors widely used in industrial inspection, robotics guidance, in-cabin automotive sensing, traffic and infrastructure monitoring, smart retail analytics and safety and security systems. The addition of Irida Labs into Renesas’ product portfolio addresses these emerging

Siemens continues to be at the forefront of technological innovation, today announcing the next evolution of its Gridscale X platform at the Grid Software Summit in Amsterdam. Gridscale X provides the digital foundation for utilities to manage their grids at greater speed, and complexity at scale. Siemens also unveiled the next generation of PSS E on Gridscale X, introducing advanced AI‑powered, agentic capabilities to the transmission planning software. As utilities face rising demand and growing system complexity, both transmission planning and grid operations are being pushed beyond the limits of traditional approaches. Electrification, data centers, and AI‑driven industries are scaling faster than anticipated, while renewables are injecting volatility that traditional grids cannot absorb. Meeting these challenges requires true system operations. A unified grid model and digital twin enables system‑wide visibility to actively manage flexibility, reduce operational risks and operate grids closer to their technical limits with confidence – laying the foundation for autonomous, resilient grids. “Gridscale X is the integral digital backbone that bridges

ServiceNow, the AI control tower for business reinvention, and Accenture announced a forward deployed engineering (FDE) program to help enterprises take agentic AI from enterprise pilot to production at scale. Through the program, ServiceNow’s AI-native FDE team works together with industry-led Accenture FDEs inside mutual customers’ environments, collaborating to build agentic AI workflows natively on the ServiceNow AI Platform where enterprise work already runs, delivering value in production before enterprise rollout begins. “Forward deployed engineering is how ServiceNow and Accenture turn mutual customers’ agentic AI business goals into value-generating production workloads,” said John Aisien, senior vice president and general manager, Central Product Management, Security & Risk at ServiceNow. “We're not simply handing over instructions. Our teams are in the customers’ environments, implementing ServiceNow, customer & third-party building blocks, and demonstrating the resulting value metrics in the ServiceNow AI Control Tower.” “The question our clients ask is not whether to invest in AI—it’s how

Jama Software, the leader in intelligent engineering management, announced today that Jama Connect® is the first engineering management software to deliver a Model Context Protocol (MCP) Server. Engineers across disciplines can now work in their chosen AI-enabled environment (e.g. Claude, Codex, Cursor, GitHub Copilot, Visual Studio, etc.) and maximize Large Language Model (LLM) inference quality and token efficiency while maintaining AI governance and industry standards compliance with Jama Connect’s Traceability Information Model.  Unlike custom-built integrations, Jama Connect MCP provides a breadth of tools, enforces existing permissions, lifecycle workflows, and audit requirements; thereby ensuring that AI governance and regulatory compliance is maintained.   Engineering organizations for regulated multidisciplinary products are rapidly adopting AI-Driven Development to achieve 10X gains in product velocity. But AI-Driven Development requires reconfiguring the product development process and retooling to fully lever AI engineering agent speed into product velocity gains. Only Jama Connect addresses the key challenges for engineering organizations to achieve the desired product velocity gains from AI-Driven Development:  Spec Driven Development – Engineers and AI engineering agents via MCP must be able to iterate and version in a shared context for specifications and context engineering.  LLM inference quality

Trimble Inc. announced financial results for the first quarter of 2026. First Quarter 2026 Financial Highlights Revenue of $939.9 million, up 12 percent on a year-over-year basis, up 12 percent on an organic basis Annualized recurring revenue ("ARR") was $2.43 billion, up 12 percent year-over-year, up 12 percent on an organic basis GAAP operating income was $144.0 million, 15.3 percent of revenue, and non-GAAP operating income was $243.2 million, 25.9 percent of revenue GAAP net income was $98.9 million and non-GAAP net income was $186.9 million Diluted earnings per share ("EPS") was $0.42 on a GAAP basis and $0.79 on a non-GAAP basis Adjusted EBITDA was $257.7 million, 27.4 percent of revenue During the first quarter, Trimble repurchased approximately 4.7 million shares for $316.9 million Executive Quote "We began the year with strong momentum, delivering record annualized recurring revenue of $2.435 billion in the first quarter, and surpassing expectations on both top and bottom lines," said Rob Painter, president and CEO

Stratasys Ltd., a leader in polymer 3D printing solutions, announced its financial results for the first quarter ended March 31, 2026. “Our first quarter results reflect the resilience of our operating model in a measured spending environment, demonstrated by positive adjusted EBITDA and operating cash flow," said Dr. Yoav Zeif, CEO of Stratasys. "Recurring revenue from consumables and customer support continued to provide stability, while Stratasys Direct delivered strong 23% organic growth year-over-year across a diverse range of industrial applications, led by drone customers. As we look forward, our current pipeline in high requirement applications, especially in defense, continues to build as we gain confidence in our ability to win prominent contracts in 2026 and beyond.” Summary - First Quarter 2026 Financial Results Compared to First Quarter 2025: Revenue of $132.7 million compared to $136.0 million. GAAP gross margin of 41.7%, compared to 44.3%. Non-GAAP gross margin of 46.3%, compared to 48.3%. GAAP operating loss of