AI Tradeoffs At The Edge


AI is impacting almost every application area imaginable, but increasingly it is moving from the data center to the edge, where larger amounts of data need to be processed much more quickly than in the past. This has set off a scramble for massive improvements in performance much closer to the source of data, but with a familiar set of caveats — it must use very little power, be affordable... » read more

SRAM Scaling Issues, And What Comes Next


The inability of SRAM to scale has challenged power and performance goals forcing the design ecosystem to come up with strategies that range from hardware innovations to re-thinking design layouts. At the same time, despite the age of its initial design and its current scaling limitations, SRAM has become the workhorse memory for AI. SRAM, and its slightly younger cousin DRAM, have always co... » read more

Memory’s Future Hinges On Reliability


Experts at the Table: Semiconductor Engineering sat down to talk about the impact of power and heat on off-chip memory, and what can be done to optimize performance, with Frank Ferro, group director, product management at Cadence; Steven Woo, fellow and distinguished inventor at Rambus; Jongsin Yun, memory technologist at Siemens EDA; Randy White, memory solutions program manager at Keysight; a... » read more

Chip Industry Technical Paper Roundup: Feb. 13


New technical papers added to Semiconductor Engineering’s library this week. [table id=197 /] More ReadingTechnical Paper Library home » read more

Enabling Beyond-Bound Decoding For DRAM By Unraveling Reed-Solomon Codes


A technical paper titled “Unraveling codes: fast, robust, beyond-bound error correction for DRAM” was published by researchers at Rambus. Abstract: "Generalized Reed-Solomon (RS) codes are a common choice for efficient, reliable error correction in memory and communications systems. These codes add 2t extra parity symbols to a block of memory, and can efficiently and reliably correct up ... » read more

Software-Defined Vehicles Ready To Roll


Software-defined vehicles are driving a swell of activity across the automotive ecosystem, including new methodologies and technology approaches that could significantly reduce costs and shorten time to market for advanced features. The SDV approach encompasses more than a single concept. It helps to think of it more as a modeling approach that connects EVs, driver assistance technology, and... » read more

Role For ICs Expands In Humanoid Robots


Semiconductors play a crucial role in the development and functionality of humanoid robots. Humanoid robots are advanced machines designed to resemble and perform tasks similar to humans. The integration of semiconductors in humanoid robots contributes to their sensory perception, processing capabilities, and overall functionality. Robots are used in everything from security and defense, to ... » read more

Strategic Collaborations Enabling The Future of Automotive


I just returned from CES last month, the world’s most influential tech and innovation event. With over 135K attendees from across the world, 4300 exhibitors, 250+ conference sessions, and 1000 speakers, CES 2024 was the place to explore emerging trends and disruptive innovations. As CES is the showcase for innovative technologies, it is no surprise that Artificial Intelligence (AI) had a s... » read more

How To Stop Row Hammer Attacks


Row hammer is a well-publicized target for cyberattacks on DRAM, and there have been attempts to stop these attacks in DDR4 and DDR5, but with mixed results. The problem is that as density increases, distance decreases, making it more likely that flipped bit cell in one row can disturb a bit cell in another, and that bits flipped across an entire row can flip another row. Steven Woo, fellow and... » read more

Rethinking Memory


Experts at the Table: Semiconductor Engineering sat down to talk about the path forward for memory in increasingly heterogeneous systems, with Frank Ferro, group director, product management at Cadence; Steven Woo, fellow and distinguished inventor at Rambus; Jongsin Yun, memory technologist at Siemens EDA; Randy White, memory solutions program manager at Keysight; and Frank Schirrmeister, vice... » read more

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