Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

The compelling demand for higher performance and lower power consumption in electronic systems is the main driving force of the electronics industry's quest for devices and/or architectures based on new materials. Here, we provide a review of electronic devices based on two-dimensional materials, outlining their potential as a technological option beyond scaled complementary metal-oxide-semiconductor switches. We focus on the performance limits and advantages of these materials and associated technologies, when exploited for both digital and analog applications, focusing on the main figures of merit needed to meet industry requirements. We also discuss the use of two-dimensional materials as an enabling factor for flexible electronics and provide our perspectives on future developments.

Electronics based on two-dimensional materials

Physical Review B

Human skin is a remarkable organ. It consists of an integrated, stretchable network of sensors that relay information about tactile and thermal stimuli to the brain, allowing us to maneuver within our environment safely and effectively. Interest in large-area networks of electronic devices inspired by human skin is motivated by the promise of creating autonomous intelligent robots and biomimetic prosthetics, among other applications. The development of electronic networks comprised of flexible, stretchable, and robust devices that are compatible with large-area implementation and integrated with multiple functionalities is a testament to the progress in developing an electronic skin (e-skin) akin to human skin. E-skins are already capable of providing augmented performance over their organic counterpart, both in superior spatial resolution and thermal sensitivity. They could be further improved through the incorporation of additional functionalities (e.g., chemical and biological sensing) and desired properties (e.g., biodegradability and self-powering). Continued rapid progress in this area is promising for the development of a fully integrated e-skin in the near future.

25th Anniversary Article: The Evolution of Electronic Skin (E-Skin): A Brief History, Design Considerations, and Recent Progress

An object is to provide a semiconductor device of which a manufacturing process is not complicated and by which cost can be suppressed, by forming a thin film transistor using an oxide semiconductor film typified by zinc oxide, and a manufacturing method thereof. For the semiconductor device, a gate electrode is formed over a substrate; a gate insulating film is formed covering the gate electrode; an oxide semiconductor film is formed over the gate insulating film; and a first conductive film and a second conductive film are formed over the oxide semiconductor film. The oxide semiconductor film has at least a crystallized region in a channel region.

Semiconductor device, and manufacturing method thereof

Using organic transistors with a floating gate embedded in hybrid dielectrics that comprise a 2-nanometer-thick molecular self-assembled monolayer and a 4-nanometer-thick plasma-grown metal oxide, we have realized nonvolatile memory arrays on flexible plastic substrates. The small thickness of the dielectrics allows very small program and erase voltages (≤6 volts) to produce a large, nonvolatile, reversible threshold-voltage shift. The transistors endure more than 1000 program and erase cycles, which is within two orders of magnitude of silicon-based floating-gate transistors widely employed in flash memory. By integrating a flexible array of organic floating-gate transistors with a pressure-sensitive rubber sheet, we have realized a sensor matrix that detects the spatial distribution of applied mechanical pressure and stores the analog sensor input as a two-dimensional image over long periods of time.

http://science.sciencemag.org/content/sci/326/5959/1516.full.pdf

Organic Nonvolatile Memory Transistors for Flexible Sensor Arrays

A semiconductor memory device comprises a memory cell array having electrically erasable and programmable memory cells arranged in rows and columns, each memory cell capable of storing n-value data (n is 3 or a greater natural number), and a data circuit having m latch circuits for holding data items read from said memory cells, wherein data items read from said memory cells and held in k latch circuits (k<m) are output from the memory device before data items read from said memory cells are held in the remaining (m-k) latch circuits, during data-reading operation.

Semiconductor device and memory system

A non-volatile semiconductor device has a memory cell array having electrically erasable programmable non-volatile memory cells, reprogramming and retrieval circuits that temporarily store data to be programmed in the memory cell array and sense data retrieved from the memory cell array. Each reprogramming and retrieval circuit has first and second latches that are selectively connected to the memory cell array and transfer data. A controller controls the reprogramming and retrieval circuits on a data-reprogramming operation to and a data-retrieval operation from the memory cell array. Each reprogramming and retrieval circuit has a multilevel logical operation mode and a caching operation mode. In the multilevel logical operation mode, re-programming and retrieval of upper and lower bits of two-bit four-level data is performed using the first and the second latches to store the two-bit four-level data in one of the memory cells in a predetermined threshold level range. In the caching operation mode, data transfer between one of the memory cells selected in accordance with a first address and the first latch is performed while data transfer is performed between the second latch and input/output terminals in accordance with a second address with respect to one-bit two-level data to be stored in one of the memory cells.

Non-volatile semiconductor memory

Data having three values or more is stored in a memory cell in a nonvolatile manner. A data circuit has a plurality of storage circuits. One of the plurality of storage circuits is a latch circuit. Another one of the plurality of storage circuits is a capacitor. The latch circuit and the capacitor function to temporarily store program/read data having two bits or more. Data held by the capacitor is refreshed using the latch circuit if data variation due to leakage causes a program. As a result, the data circuit does not become large in size even if multi-level data is used.

Nonvolatile semiconductor memory having plural data storage portions for a bit line connected to memory cells

To realize low-cost, highly reliable, high-speed programming, and high-density multilevel flash memories, a multipage cell architecture has been proposed. This architecture enables both precise control of the V/sub th/ of a memory cell and fast programming without any area penalty. In the case of a four-level cell, a high programming speed of 236 /spl mu/s/512 bytes or 2.2 Mbytes/s can be obtained, which is 2.3 times faster than the conventional method. A small die size can be achieved with the newly developed compact four-level column latch circuit. A preferential page select method has also been proposed so as to improve the data retention characteristics. The IC error rate can be decreased by as much as 33%, and a highly reliable operation can be realized.

Ken Takeuchi

Papers

Organic Nonvolatile Memory Transistors for Flexible Sensor Arrays

Semiconductor device and memory system

Non-volatile semiconductor memory

Nonvolatile semiconductor memory having plural data storage portions for a bit line connected to memory cells

A multipage cell architecture for high-speed programming multilevel NAND flash memories