December 25, 2025, Suwon, South Korea — Samsung Electronics is accelerating plans to bring mobile graphics processing fully in-house, with multiple reports pointing to a proprietary GPU architecture arriving in an Exynos application processor as early as 2027. A report citing Cailian Press, says Samsung’s System LSI Division is pushing toward a “100% proprietary technology” […]
Samsung to launch in-house mobile GPU by 2027 Read More +
Mountain View, CA, December 24 — Today, Groq announced that it has entered into a non-exclusive licensing agreement with Nvidia for Groq’s inference technology. The agreement reflects a shared focus on expanding access to high-performance, low cost inference. As part of this agreement, Jonathan Ross, Groq’s Founder, Sunny Madra, Groq’s President, and other members of
Latest Lattice sensAI™ solution stack delivers industry-leading power efficiency, expanded AI model support, and flexible deployment tools for next-generation edge applications HILLSBORO, Ore. – Dec. 18, 2025 – Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced the latest release of the Lattice sensAI™ solution stack delivering expanded model support, enhanced AI performance, and greater deployment
This article was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. FPGA-based frame grabbers are redefining multi-camera vision by enabling synchronized aggregation of up to eight GMSL streams for autonomous driving, robotics, and industrial automation. They overcome bandwidth and latency limits of USB and Ethernet by using PCIe
How FPGA-Based Frame Grabbers Are Powering Next-Gen Multi-Camera Systems Read More +
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. NeurIPS 2025 provided Arm with a unique opportunity to share the latest technical trends and insights with the global AI research community. NeurIPS is one of the world’s leading AI research conferences, acting as a thriving global hub for
Arm at NeurIPS 2025: How AI research is shaping the future of intelligent computing Read More +
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. How Arm is powering the shift to flexible AI-ready, energy-efficient compute at the “Industrial Edge.” Industrial automation is undergoing a foundational shift. From industrial PC to edge gateways and smart sensors, compute needs at the edge are changing fast. AI is moving
The architecture shift powering next-gen industrial AI Read More +
The CV3-AD family block diagram. This blog post was originally published at Imagination Technologies’ website. It is reprinted here with the permission of Imagination Technologies. Ambarella’s CV3-AD655 autonomous driving AI domain controller pairs energy-efficient compute with Imagination’s IMG BXM GPU to enable real-time surround-view visualisation for L2++/L3 vehicles. This case study outlines the industry shift
Ambarella’s CV3-AD655 Surround View with IMG BXM GPU: A Case Study Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. This blog offers expert insights into Darsi Pro, how it delivers a unified vision solution, and what it brings to alleviate modern workloads. Darsi Pro comes with GMSL camera options, rugged design, OTA support, and
This blog post was originally published at Inuitive’s website. It is reprinted here with the permission of Inuitive. From early military prototypes to today’s complex commercial operations, drones have evolved from experimental aircraft into essential tools across industries. Since the FAA issued its first commercial permit in 2006, applications have rapidly expanded—from disaster relief and
Overcoming the Skies: Navigating the Challenges of Drone Autonomy Read More +
Somewhat eclipsed by last week’s announcement that the AMD Spartan™ UltraScale+™ FPGA SCU35 Evaluation Kit is now available, AMD and Infineon have disclosed successful validation of Infineon’s 64-Mb HYPERRAM™ memory and HYPERRAM controller IP on the platform. This collaboration expands the kit’s value for engineers building edge AI and computer vision systems. The SCU35 kit,
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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