Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, launched its seventh Gemini Experience Center (GEC) at its Innovation Hub in Troy, Michigan. Established in partnership with Google Cloud, the newest TCS GEC focuses on developing cutting-edge Physical AI solutions tailored for the manufacturing sector. The new center marks a significant step in the global expansion of TCS’ Gemini Experience Centers. By the end of 2026, TCS and Google Cloud will have a total of 13 GECs worldwide, with six additional centers set to launch this year. As AI adoption accelerates across industries, these centers will play a critical role in helping enterprises move from isolated AI pilots to scalable, production-ready transformation programs. The Physical AI GEC for Manufacturing in Troy will enable global manufacturers to explore, test, and scale Physical AI use cases for safety, quality, and operational efficiency with intelligence at the core. The center

Department of Electronic Systems Engineering (ESE) at IISc, Bangalore jointly with LTM– the Business Creativity partner to the world’s largest enterprises, successfully hosted a Neuromorphic Computing Hackathon on 7 March, 2026. The initiative fostered cutting-edge AI research awareness through this joint engagement. Neuromorphic computing, a brain-inspired approach to artificial intelligence, is emerging as a cornerstone for next-generation intelligent systems. By enabling energy-efficient, event-driven and adaptive AI, neuromorphic architectures are particularly suited for edge and cyber-physical applications. Through this hackathon, LTM Research and IISc’s Department of Electronic Systems Engineering provided students and researchers with hands-on exposure to applying neuromorphic principles to real-world problem statements. The hackathon brought together more than 72 participants from 13 colleges clubbed into 28 teams, to explore the rapidly evolving field of neuromorphic computing. Top 10 teams that addressed specialized problem statements in these domains were shortlisted for final evaluation. Team Endurance from M V J College of Engineering, Bengaluru emerged as the winner of the hackathon. As the key members of the team, Srikar T,

MariaDB plc announced that it has entered into a definitive agreement to acquire GridGain Systems, Inc., the pioneer of in-memory computing and creator of open source Apache Ignite. By merging MariaDB’s AI-ready relational database with GridGain’s scalable, in-memory power, MariaDB is setting a new industry standard: sub-millisecond data infrastructure for the agentic era. Closing the AI Latency Gap As enterprises move beyond passive chatbots toward agentic AI – autonomous systems that reason, plan and execute tasks – they are quickly becoming limited by traditional data architectures. AI agents require real-time access to massive datasets with zero friction. This acquisition bridges that gap by fusing: MariaDB’s reliability: Proven, ACID-compliant transactional integrity for the world’s most sensitive data, with native vector capability and AI support. GridGain’s speed: Extreme-scale and in-memory processing that eliminates the disk-drive tax on performance. “The rise of agentic workloads has placed unprecedented demands on enterprise infrastructure, causing requirements to explode and requiring a level of

Xometry, Inc., the global, AI-native marketplace connecting buyers and suppliers of custom manufacturing, announced the release of its new Enterprise Machining Lead Time Prediction Model and enhanced dynamic pricing logic. These releases expand the Xometry Instant Quoting Engine®, strengthening Xometry’s proprietary data advantage and deepening the design-to-fulfillment intelligence that powers its AI-native marketplace. Together, these advancements deliver higher prediction accuracy, improved operational efficiency, and expanded rapid lead-time options. They accelerate customers’ time to market and increase delivery reliability, while reinforcing Xometry’s leadership in AI-powered industrial sourcing and its ability to close the loop between digital quoting and real-world production outcomes. New Enterprise Machining Lead Time Prediction Model As AI reshapes expectations in manufacturing, Xometry continues to advance its proprietary Instant Quoting Engine, which leverages deep learning trained on real-world production and delivery data from its extensive global Partner Network of manufacturing suppliers. This continuously expanding dataset enables Xometry to dynamically refine market-driven lead time

Combines Siemens’ private 5G infrastructure and continuous cybersecurity monitoring with Palo Alto Networks’ AI-driven cybersecurity solution Purpose-built for OT environments, tested across multiple industrial deployment scenarios Enhanced cybersecurity for Industrial 5G networks without compromising on performance, part of the Siemens Xcelerator portfolio At Mobile World Congress 2026, Siemens announced a verified cybersecurity solution for industrial private 5G Networks in collaboration with Palo Alto Networks. The solution combines Siemens' Private 5G infrastructure with Palo Alto Networks' Next-Generation Firewall (NGFW), specifically optimized for AI, extensively tested to verify high availability, network resilience, and uninterrupted operations. It enables manufacturers to meet diverse industrial security requirements while maintaining the critical performance their increasingly AI-driven productions demand. “A pharmaceutical plant has different security requirements than an automotive assembly line," said Michael Metzler, Vice President Horizontal Management Cybersecurity for Digital Industries at Siemens. "Siemens’ verified solution with Palo Alto Networks addresses these industry-specific needs through purpose-built architecture. Manufacturers get secure

Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, announced the RH850/U2C, a new 32-bit automotive microcontroller (MCU) built on a 28nm process.　With rich communication interface support and advanced security, the MCU targets a diverse range of automotive applications, including chassis and safety systems for passenger cars and motorcycles, battery management systems (BMS) and body control functions such as lighting and motor control, and other general-purpose ASIL D applications. The new device extends Renesas’ popular RH850 lineup as a low-end option, complementing the high-end RH850/U2B and mid-range RH850/U2A products. The RH850/U2C combines four RH850 CPU cores operating at up to 320 MHz (including two lockstep cores), with up to 8 MB of on-chip flash memory. Developers currently using RH850/P1x or RH850/F1x devices can smoothly transition to the new MCU to meet the requirements of the latest E/E architectures. Communication Interfaces for Today’s and Next-Generation Systems The RH850/U2C operates with interfaces designed for modern E/E architectures, such as Ethernet

Oracle announced the general availability of Oracle Construction and Engineering Advisor for Safety, an AI-enabled predictive intelligence solution that transforms safety management. With the offering, construction firms can better forecast project safety incidents to proactively prevent accidents, and support safer, more cost-effective jobsites. Previously, creating accurate predictive models required customers to supply extensive data for model training and tuning. Advisor for Safety utilizes an Oracle built, industry-specific safety model trained on data spanning the equivalent of 10,000+ project-years representing diverse project types and locations. The solution enables firms to quickly benefit from more predictive safety regardless of their current safety program’s maturity. In tandem, Oracle has also introduced a new Observation capability in Aconex and Primavera Unifier Accelerator. Designed to work with Advisor for Safety, this feature enables field teams—from project engineers to the most senior project executive—to more easily capture structured safety data, including severity and frequency scoring, consistently in an easy-to-use format via a

The HOMAG Group significantly improved its earnings in the 2025 fiscal year thanks to the cost-cutting and optimization measures implemented. In a market environment that remained challenging, order intake increased slightly, while sales were slightly below the previous year’s level.  The HOMAG Group’s order intake increased slightly in 2025 to EUR 1,380 million (previous year: EUR 1,357 million), according to preliminary figures. “The demand for production systems for timber house construction has developed positively,” emphasizes CEO Dr. Daniel Schmitt. In this area, HOMAG achieved a new record order intake, including the largest order to date from the timber construction sector. “In the furniture sector, on the other hand, we have not seen any recovery; if anything, the tariff conflicts have further intensified the uncertainty in the furniture industry,” said the CEO. The orders on hand decreased to EUR 726 million as of December 31, 2025 (Dec. 31, 2024: EUR 781 million). Due

Atos Group has Delivered on its Commitments to Restore its Foundations  Growth Chapter Ready to be Opened  FY 2025 financial and extra financial targets met or exceeded: Revenue at €8,001 million, reflecting a clear improvement in the organic growth trajectory in Q4 Operating margin at €351 million, representing 4.4% of revenue, doubling year-on-year Net change1 in cash limited to €-326 million despite faster than expected execution of the restructuring program Greenhouse gas emissions reduced by 58% compared with the 2019 baseline. Execution of Genesis strategic and transformation plan ahead of schedule, with 88%2 of the three-year savings target completed in less than one year Strengthened commercial traction, with early signs of renewed client confidence Scaling artificial intelligence (AI) from targeted solutions to a fully integrated agentic AI-powered operating model across the Group, supported by Atos Sovereign Agentic Studios in France, Germany, the U.K. and the U.S. Confirmed promising outlook with positive cash generation from 2026 and accelerating in 2027 and 2028 Solid capital structure

Science Applications International Corp. is scheduled to issue its fourth quarter fiscal year 2026 results before market open on Monday, March 16, 2026. SAIC executive management will discuss operational and financial results in a conference call beginning at 10:00 a.m. EDT, following the issuance of the company’s earnings press release.  The conference call will be webcast simultaneously to the public through a link on the Investor Relations section of the SAIC website. The company will only provide webcast access, “dial-in” access will not be available. A supplemental presentation will be available to the public through links provided on the website.  After the call concludes, an on-demand audio replay of the webcast can be accessed on the SAIC Investor Relations website.  To view the original press release, please click here. Search for Science Applications International Corp on CIMdata.com