System Bits: Nov. 27

By Ann Mutschler - 27 Nov, 2018 - Comments: 2

Silent, lightweight aircraft powered by ionic wind Instead of propellers or turbines, MIT researchers have built and flown the first-ever aircraft with no moving parts that is powered by an “ionic wind” — a silent but mighty flow of ions that is produced aboard the plane, and that generates enough thrust to propel the plane over a sustained, steady flight. [caption id="attachment_2414... » read more

Power/Performance Bits: Nov. 13

By Jesse Allen - 13 Nov, 2018 - Comments: 0

ML identifies LED material Researchers at the University of Houston created a machine learning algorithm that can predict a material's properties to help find better host material candidates for LED lighting. One recommendation was synthesized and tested. The technique, a support vector machine regression model, was efficient enough to run on a personal computer. It scanned a list of 118,28... » read more

System Bits: Oct. 23

By Ann Mutschler - 23 Oct, 2018 - Comments: 0

Adapting machine learning for use in scientific research To better tailor machine learning for effective use in scientific research, the U.S. Department of Energy has awarded a collaborative grant to a group of researchers, including UC Santa Barbara mathematician Paul Atzberger, to establish a new data science research center. According to UCSB, the Physics-Informed Learning Machines for M... » read more

System Bits: Aug. 28

By Ann Mutschler - 28 Aug, 2018 - Comments: 0

Characterizing quantum computers To accelerate and simplify the imposing task of diagnosing quantum computers, a Rice University computer scientist and his colleagues have proposed a method to do just this. The development of a nonconventional method as a diagnostic tool for powerful, next-generation computers that depend on the spooky actions of quantum bits — aka qubits — which are sw... » read more

System Bits: Aug. 14

By Ann Mutschler - 14 Aug, 2018 - Comments: 0

Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors In an effort to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer, MIT researchers are employing novel machine-learning techniques. According to the team, glioblastoma is a malignant tumor ... » read more

System Bits: July 10

By Ann Mutschler - 10 Jul, 2018 - Comments: 0

Foldable electronic switches and sensors Using inexpensive materials, UC Berkeley engineers have created a method to fabricate foldable electronic switches and sensors directly onto paper, along with prototype generators, supercapacitors and other electronic devices for what they said is a range of applications. Besides the fact that it is readily available and low cost, the team pointed ou... » read more

Power/Performance Bits: July 3

By Jesse Allen - 03 Jul, 2018 - Comments: 0

Graphene foam devices Scientists at Rice University developed a method for building conductive, three-dimensional objects out of graphene foam, which they say could offer new possibilities for energy storage and flexible electronic sensor applications. The same lab initially created laser-induced graphene, or LIG, in 2014. The process involves heating inexpensive polyimide plastic sheets wi... » read more

System Bits: June 12

By Ann Mutschler - 12 Jun, 2018 - Comments: 0

Writing complex ML/DL analytics algorithms Rice University researchers in the DARPA-funded Pliny Project believe they have the answer for every stressed-out systems programmer who has struggled to implement complex objects and workflows on ‘big data’ platforms like Spark and thought: “Isn’t there a better way?” Their answer: Yes with PlinyCompute, which the team describes as “a sys... » read more

System Bits: May 15

By Ann Mutschler - 15 May, 2018 - Comments: 0

Navigating with GPS and sensors According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, off-ramps, and stop signs... » read more

System Bits: May 1

By Ann Mutschler - 01 May, 2018 - Comments: 0

Tiniest implanted wireless nerve stimulator UC Berkeley researchers, co-led by Rikky Muller, who is also assistant professor of electrical engineering and computer sciences at Berkeley, have built what they say is the smallest volume, most efficient wireless nerve stimulator to date. Before this milestone, UC Berkeley engineers demonstrated the first implanted, ultrasonic neural dust sensor... » read more

← Older posts Newer posts →

Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

tag: Rice University