Artificial Intelligence (AI)
d-Matrix, a pioneer in generative AI inference compute for data centers, has chosen the AndesCore™ AX46MPV as the control and vector compute engine for its upcoming Raptor™ inference platform. Andes Technology (SIN: US03420C2089; ISIN: US03420C1099), a leading provider of high-efficiency, low-power RISC-V processor IP and a Founding Premier member of RISC-V International, announced the collaboration today.
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AI isn’t just transforming fraud detection and compliance—it’s now becoming the frontline defense. WorkFusion, a prominent provider of AI agents designed for financial crime compliance (FCC), has entered a strategic partnership with Allied Engineering Group (AEG), one of the oldest and most influential banking technology providers across the Middle East, GCC, Africa, Turkey, Cyprus, and Greece.
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At SuperComputing 2025 in St. Louis, Moreh and Tenstorrent took aim at one of AI’s most persistent obstacles: the spiraling cost and complexity of scaling modern data centers. Their jointly developed platform—a combination of Moreh’s MoAI Framework and **Tenstorrent’s Galaxy Wormhole server—**steps directly into territory long dominated by GPUs, promising an architectural alternative optimized for both training and inference at scale.
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In the race to operationalize AI at the farthest edges of the industrial world, Armada and NOV are taking a decisive step forward. The two companies today announced a strategic collaboration that pairs Armada’s edge-native AI platform with NOV’s industrial infrastructure to deliver real-time, on-site intelligence for some of the most remote and punishing environments on the planet.
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The offensive security world is entering a new phase—and this time, AI isn’t just powering the adversaries. Synack, best known for blending human pentesters with crowdsourced expertise, is rolling out Sara Pentest, a new agentic AI product that automates key parts of penetration testing and dramatically reduces the time it takes to discover exploitable vulnerabilities.
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In an era where “move fast” is no longer enough—and “break things” is a liability—BigID is giving developers a way to build secure, AI-ready products from day one. The data security and AI governance leader today announced Embedded BigID, a developer-first solution that allows teams to integrate the company’s hallmark data discovery, classification, and protection capabilities directly inside their own applications, data pipelines, endpoints, and AI architectures.
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Firmware rarely gets a spotlight in the world of shiny new AI tools, but maybe it should. Firmware engineers face some of the most frustrating bottlenecks in modern computing—deeply technical documentation, scattered artifacts, slow support channels, and debugging sessions that feel like spelunking through decades of legacy behavior.
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Software teams ship faster than ever, but their automated tests rarely keep up. A small UI tweak—a moved button, a renamed element—can break dozens of tests, stall CI pipelines, and throw engineering teams into maintenance mode. For years, test automation has promised stability at scale, yet the reality often feels more like babysitting than engineering.
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An AI Lab launches its next breakthrough model. Just as the final model begins to stabilize, a potential ethical risk is found within the training data. Pausing means delays and financial loss. Ignoring it risks regulatory fallout. This is the modern crossroads where every AI leader is forced to make a choice. The Modern AI...
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