- AI IP for Cybersecurity monitoring - Smart Monitor
- ARC EV Processors are fully programmable and configurable IP cores that are optimized for embedded vision applications
- Enhanced Neural Processing Unit for safety providing 32,768 MACs/cycle of performance for AI applications
- EV74 processor IP for AI vision applications with 4 vector processing units
- EV7x Vision Processors
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The Democratization of AI Computing: Building an Inclusive Semiconductor Future
- Renesas unveils RA8P1 MCUs with Cortex-M85, NPU
- How AI Is Proving Useful in New Materials Discovery for the 2nm Era
- Keysight and Synopsys employ AI for RF design migration
- Arteris Wins "AI Engineering Innovation Award" at the 2025 AI Breakthrough Awards
- AI Chip Leader Sets Up In Base; Data Center, IoT, Automotive Among Growth Drivers
- PUFsecurity, a subsidiary of eMemory, Achieves NIST CAVP Certification for PQC Algorithms, Launches PUFpqc Architecture for Quantum-Resilient SoCs (Jul. 08, 2025)
- Menta Licenses Menta Embedded FPGA Programmable IP To Renesas For Its ForgeFPGA Product Line (Jul. 07, 2025)
- Samsung delays 1.4nm node, doubles down on 2nm process enhancement (Jul. 04, 2025)
- TSMC to exit gallium nitride semiconductor business in two years (Jul. 04, 2025)
- Are open-source RISC-V CPUs a threat to ARM Holdings' business? (Jul. 04, 2025)
- See Latest News>>
For AI to reach its full potential, high-performance computing capabilities must become accessible to organizations of all sizes. This requires a transformation in how we approach semiconductor distribution, deployment, and utilization across the global economy.
www.eetimes.eu, May. 02, 2025 –
The transformative potential of artificial intelligence (AI) is no longer a futuristic concept but a reality actively reshaping our world. From personalized healthcare treatments and accelerated drug discovery to increased industrial automation and the creation of new art forms, AI’s impact is undeniable. However, without equitable access to this transformative power, we risk creating a digital divide that exacerbates existing inequalities. Responsible AI adoption and the democratization of access to the high-performance computing power that underpins AI is key to unlocking its full potential, fostering a more equitable and inclusive future while unlocking vast commercial opportunities. Achieving this will require a fundamental transformation in how we approach semiconductor distribution, deployment, and utilization.
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