Chip Industry Technical Paper Roundup: July 22


New technical papers recently added to Semiconductor Engineering’s library. [table id=245 /] More ReadingTechnical Paper Library home » read more

Excitonic Phenomena in TMDs (Harvard, Google, Stanford et al.)


A new technical paper titled "Dynamical Control of Excitons in Atomically Thin Semiconductors" was published by researchers at Harvard University, Google Research, Stanford University, UC Riverside and others. Abstract "Excitons in transition metal dichalcogenides (TMDs) have emerged as a promising platform for novel applications ranging from optoelectronic devices to quantum optics and sol... » read more

Chip Industry’s Technical Paper Roundup: Dec 11


New technical papers added to Semiconductor Engineering’s library this week. [table id=174 /] More ReadingTechnical Paper Library home » read more

Deep Learning Discovers Millions Of New Materials (Google)


A technical paper titled “Scaling deep learning for materials discovery” was published by researchers at Google DeepMind and Google Research. Abstract: "Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing. From microchips to batteries and photovoltaics, discovery of inorganic crystals has been bottleneck... » read more

Chip Industry’s Technical Paper Roundup: October 31


New technical papers added to Semiconductor Engineering’s library this week. [table id=159 /] More Reading Technical Paper Library home » read more

Measurement-Induced Quantum Information Phases On Up To 70 Superconducting Qubits (Google/Stanford)


A technical paper titled “Measurement-induced entanglement and teleportation on a noisy quantum processor” was published by researchers at Google Quantum AI, Google Research, Stanford University, University of Texas at Austin, Cornell University, University of Massachusetts, University of Connecticut, Auburn University, University of Technology Sydney, University of California, and Columbia... » read more

Technical Paper Round-Up: June 28


New technical papers added to Semiconductor Engineering’s library this week. [table id=35 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit f... » read more

Designing Hardware Accelerators Using A Data-Driven Approach


Research paper titled "Data-Driven Offline Optimization For Architecting Hardware Accelerators" by researchers at Google Research and UC Berkeley. Abstract "Industry has gradually moved towards application-specific hardware accelerators in order to attain higher efficiency. While such a paradigm shift is already starting to show promising results, designers need to spend considerable man... » read more

The Return Of DAC In-Person


Apart from masked faces everywhere, you could be excused for not knowing that there was a pandemic going on. Sure, the numbers were down, the show floor was smaller, and most of the parties didn't happen, but everyone was so happy to be able to bump elbows with their colleagues. Buttons were available for attendees to show the level of comfort they had with various types of greetings, from "... » read more

A graph placement methodology for fast chip design


Abstract "Chip floorplanning is the engineering task of designing the physical layout of a computer chip. Despite five decades of research1, chip floorplanning has defied automation, requiring months of intense effort by physical design engineers to produce manufacturable layouts. Here we present a deep reinforcement learning approach to chip floorplanning. In under six hours, our method autom... » read more

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