tag: University of New South Wales

Research Bits: Mar. 11
By Jesse Allen - 11 Mar, 2024 - Comments: 0

Ferroelectric nanosheets Engineers from the University of Sydney, RMIT University, University of New South Wales, and University of Technology Sydney created a liquid metal alloy of tin, zirconium, and hafnium. The alloy has a thin oxide layer crust that enables it to be used to harvest ultra-thin tin oxide nanosheets doped with hafnium zirconium oxide, which could then be 2D printed on a subs... » read more

Startup Funding: February 2024
By Jesse Allen - 06 Mar, 2024 - Comments: 0

A startup developing AI chips dedicated to low-power AI inferencing captured one of the largest rounds of February. The startup, Recogni, already offers a low-power vision inferencing chip. Several other sizeable rounds were focused on the automotive space, with robotaxis, autonomous delivery, and the sensors that enable them. Another active area, power electronics drew funding for several c... » read more

Chip Industry Technical Paper Roundup: Feb. 13
By Liz Allan - 13 Feb, 2024 - Comments: 0

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

Superexchange Coupling Of Donor Qubits In Si For Quantum Computers (UNSW)
By Technical Paper Link - 06 Feb, 2024 - Comments: 0

A technical paper titled “Superexchange coupling of donor qubits in silicon” was published by researchers at University of New South Wales. Abstract: "Atomic engineering in a solid-state material has the potential to functionalize the host with novel phenomena. STM-based lithographic techniques have enabled the placement of individual phosphorus atoms at selective lattice sites of silicon... » read more

Chip Industry’s Technical Paper Roundup: October 3
By Liz Allan - 03 Oct, 2023 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=150 /] Related Reading Technical Paper Library home » read more

Improving ML-Based Device Modeling Using Variational Autoencoder Techniques
By Technical Paper Link - 27 Sep, 2023 - Comments: 0

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and Industrial Research Organisation (CSIRO), Peking University, National University of Singapore, and University of New South Wales. Abstract: "The semiconductors industry benefits greatly from the integ... » read more

Startup Funding: July 2023
By Jesse Allen - 02 Aug, 2023 - Comments: 0

Investors pumped more than $2.8 billion into 123 companies July. It was a particularly strong month for photonics companies, with a photonic integrated circuit foundry raising more than $100 million. Startups this month also are using photonic technology in innovative ways. This includes an all-optical RISC processor, biomarker identification, faster fully homomorphic encryption, and more AI... » read more

Chip Industry’s Technical Paper Roundup: June 5
By Linda Christensen - 05 Jun, 2023 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=105 /] More Reading Technical Paper Library home » read more

Issues and Opportunities in Using LLMs for Hardware Design
By Technical Paper Link - 01 Jun, 2023 - Comments: 0

A technical paper titled "Chip-Chat: Challenges and Opportunities in Conversational Hardware Design" was published by researchers at NYU and University of New South Wales. Abstract "Modern hardware design starts with specifications provided in natural language. These are then translated by hardware engineers into appropriate Hardware Description Languages (HDLs) such as Verilog before syn... » read more

The Race To Make Better Qubits
By Katherine Derbyshire - 18 Nov, 2021 - Comments: 0

One of the big challenges in quantum computing is getting qubits to last long enough to do something useful with them. After decades of research, there now appears to be tangible progress. The challenge with any new semiconductor technology is to improve performance by one or more orders of magnitude without discarding a half-century of progress in other areas. Qubits based on silicon quantu... » read more

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