Category Archives: Applications

Murata, a manufacturer of electronic components, is significantly increasing global production capacity, including most recently its factory located in Finland. After having recently purchased the previously leased buildings, the company will construct a new building of approximately 16,000 square meters. The new facility is scheduled to be completed by the end of 2019.

The total value of the investment is five billion yen and is underpinned by the growing worldwide demand for MEMS sensors used in the automotive industry and various health and industrial applications.

“The market for advanced driver-assistance systems, self-directed cars, healthcare, and other emerging technologies are expected to be significant growth drivers. MEMS sensors are critical solutions for these applications and deliver proven measurement accuracy and stability in a variety of conditions,” said Yuichiro Hayata, Managing Director for Murata Electronics Oy.

“With the construction of this new production building, we will significantly increase our MEMS sensors production capacity. Moreover, by responding to the strong demand of gyro sensors, accelerometers, and combo sensors in the automotive, industry and healthcare fields, this will strengthen our business base in the automotive market, industrial equipment and medical devices market, while contributing to the economy and employment of Finland,” stated Makoto Kawashima, Director of Sensor Product Division in Murata Manufacturing.

Developing operations with long-term perspective

With the factory expansion in Finland, Murata will strengthen both R&D and manufacturing operations with a long-term perspective for increasing utilization of this facility. The company currently employs 1,000 people in Finland and estimates to create 150–200 new jobs in 2018–2019.

Murata acquired the Finnish company VTI Technologies – today known as Murata Electronics Oy – in 2012. It is the only factory of Murata which manufactures MEMS sensors outside of Japan, and has experienced tremendous growth over the last 10 years. This site in Finland also hosts R&D space and one of the biggest clean room facilities in the country.

Murata Electronics Oy

Murata Electronics Oy is part of the Japanese Murata Group. The company is located in Vantaa and specializes in the development and manufacture of 3D MEMS (micro electro mechanical systems) sensors mainly for safety critical applications in automotive, as well as in healthcare and industrial applications. The company employs 1000 people in Finland.

The Trump administration’s consideration of tariffs on Chinese printed circuit assemblies and connected devices would cost the economy $520.8 million and $2.4 billion annually for the 10 percent and 25 percent tariffs, respectively, according to a new study commissioned by the Consumer Technology Association (CTA).

“With the economy thriving under President Trump – we’ve seen remarkably low unemployment and a booming stock market – the administration shouldn’t jeopardize America’s global standing with tariffs,” said Gary Shapiro, CEO and president, CTA. “Foreign governments don’t pay the cost of tariffs, Americans do – and for that reason, U.S. trade policy needs to steer clear of tariffs that act like taxes on American manufacturers and consumers. The danger we face – the unintended consequence – is that tariffs mean Americans will pay more for all the devices they use every day to access the internet.”

The economic impact study shows American shoppers will have to pay between $1.6 billion and $3.2 billion more for connected devices such as gateways, modems, routers, smart speakers, smartwatches and other Bluetooth enabled products. The price of connected devices from China will increase by between 8.5 and 22 percent. And prices for these products from all sources will rise between 3.2 and 6.2 percent.

Similarly, the price of printed circuit assemblies from China –– will increase by between nine and 23 percent, while an alternative supply from U.S. manufacturers will cost two to three percent higher. As a result of higher input costs, totaling an additional $900 million to $1.8 billion, American manufacturers of products that contain printed circuit assemblies will purchase between six and 12 percent less from suppliers overall.

“When our government begins to charge its own companies and people with more taxes in the form of tariffs, we have put in jeopardy not just the American Dream of many small and mid-size businesses, but you put in jeopardy the people that work for them too,” said Win Cramer, CEO, JLab Audio, a California based company and CTA member. “These people support a growing economy, support a growing business and, most importantly, pay taxes. Pre-tariffs, JLab Audio was planning to scale up with new hires and programs to push our company’s growth to another level, but now we’ve put all of that on hold as we need to see how everything shakes out.”

Based on CTA’s most recent U.S. Consumer Technology Sales and Forecasts report, if the administration enacts tariffs of 10 and 25 percent, CTA projects 2019 U.S. unit shipments of connected devices such as fitness trackers, smartwatches, wireless headphones, modems/broadband gateways, wireless earbuds and smart speakers would decline by as much as 12 percent. Also, U.S. shipment revenues for these devices would decrease by as much as 6.5 percent in 2019.

A team of engineers at the University of Delaware is developing next-generation smart textiles by creating flexible carbon nanotube composite coatings on a wide range of fibers, including cotton, nylon and wool. Their discovery is reported in the journal ACS Sensors where they demonstrate the ability to measure an exceptionally wide range of pressure – from the light touch of a fingertip to being driven over by a forklift.

Fabric coated with this sensing technology could be used in future “smart garments” where the sensors are slipped into the soles of shoes or stitched into clothing for detecting human motion.

Carbon nanotubes give this light, flexible, breathable fabric coating impressive sensing capability. When the material is squeezed, large electrical changes in the fabric are easily measured.

“As a sensor, it’s very sensitive to forces ranging from touch to tons,” said Erik Thostenson, an associate professor in the Departments of Mechanical Engineering and Materials Science and Engineering.

Nerve-like electrically conductive nanocomposite coatings are created on the fibers using electrophoretic deposition (EPD) of polyethyleneimine functionalized carbon nanotubes.

“The films act much like a dye that adds electrical sensing functionality,” said Thostenson. “The EPD process developed in my lab creates this very uniform nanocomposite coating that is strongly bonded to the surface of the fiber. The process is industrially scalable for future applications.”

Now, researchers can add these sensors to fabric in a way that is superior to current methods for making smart textiles. Existing techniques, such as plating fibers with metal or knitting fiber and metal strands together, can decrease the comfort and durability of fabrics, said Thostenson, who directs UD’s Multifunctional Composites Laboratory. The nanocomposite coating developed by Thostenson’s group is flexible and pleasant to the touch and has been tested on a range of natural and synthetic fibers, including Kevlar, wool, nylon, Spandex and polyester. The coatings are just 250 to 750 nanometers thick — about 0.25 to 0.75 percent as thick as a piece of paper — and would only add about a gram of weight to a typical shoe or garment. What’s more, the materials used to make the sensor coating are inexpensive and relatively eco-friendly, since they can be processed at room temperature with water as a solvent.

Exploring Future Applications

One potential application of the sensor-coated fabric is to measure forces on people’s feet as they walk. This data could help clinicians assess imbalances after injury or help to prevent injury in athletes. Specifically, Thostenson’s research group is collaborating with Jill Higginson, professor of mechanical engineering and director of the Neuromuscular Biomechanics Lab at UD, and her group as part of a pilot project funded by Delaware INBRE. Their goal is to see how these sensors, when embedded in footwear, compare to biomechanical lab techniques such as instrumented treadmills and motion capture.

During lab testing, people know they are being watched, but outside the lab, behavior may be different.

“One of our ideas is that we could utilize these novel textiles outside of a laboratory setting — walking down the street, at home, wherever,” said Thostenson.

Sagar Doshi, a doctoral student in mechanical engineering at UD, is the lead author on the paper. He worked on making the sensors, optimizing their sensitivity, testing their mechanical properties and integrating them into sandals and shoes. He has worn the sensors in preliminary tests, and so far, the sensors collect data that compares with that collected by a force plate, a laboratory device that typically costs thousands of dollars.

“Because the low-cost sensor is thin and flexible the possibility exists to create custom footwear and other garments with integrated electronics to store data during their day-to-day lives,” Doshi said. “This data could be analyzed later by researchers or therapists to assess performance and ultimately bring down the cost of healthcare.”

This technology could also be promising for sports medicine applications, post-surgical recovery, and for assessing movement disorders in pediatric populations.

“It can be challenging to collect movement data in children over a period of time and in a realistic context,” said Robert Akins, Director of the Center for Pediatric Clinical Research and Development at the Nemours – Alfred I. duPont Hospital for Children in Wilmington and affiliated professor of materials science and engineering, biomedical engineering and biological sciences at UD. “Thin, flexible, highly sensitive sensors like these could help physical therapists and doctors assess a child’s mobility remotely, meaning that clinicians could collect more data, and possibly better data, in a cost-effective way that requires fewer visits to the clinic than current methods do.”

Interdisciplinary collaboration is essential for the development of future applications, and at UD, engineers have a unique opportunity to work with faculty and students from the College of Health Sciences on UD’s Science, Technology and Advanced Research (STAR) Campus.

“As engineers, we develop new materials and sensors but we don’t always understand the key problems that doctors, physical therapists and patients are facing,” said Doshi. “We collaborate with them to work on the problems they are facing and either direct them to an existing solution or create an innovative solution to solve that problem.”

Thostenson’s research group also uses nanotube-based sensors for other applications, such as structural health monitoring.

“We’ve been working with carbon nanotubes and nanotube-based composite sensors for a long time,” said Thostenson, who is affiliated faculty at UD’s Center for Composite Materials (UD-CCM). Working with researchers in civil engineering his group has pioneered the development of flexible nanotube sensors to help detect cracks in bridges and other types of large-scale structures. “One of the things that has always intrigued me about composites is that we design them at varying lengths of scale, all the way from the macroscopic part geometries, an airplane or an airplane wing or part of a car, to the fabric structure or fiber level. Then, the nanoscale reinforcements like carbon nanotubes and graphene give us another level to tailor the material structural and functional properties. Although our research may be fundamental, there is always an eye towards applications. UD-CCM has a long history of translating fundamental research discoveries in the laboratory to commercial products through UD-CCM’s industrial consortium.”

By stacking and connecting layers of stretchable circuits on top of one another, engineers have developed an approach to build soft, pliable “3D stretchable electronics” that can pack a lot of functions while staying thin and small in size. The work is published in the Aug. 13 issue of Nature Electronics.

This is the device compared to a US dollar coin. Credit: Zhenlong Huang

As a proof of concept, a team led by the University of California San Diego has built a stretchable electronic patch that can be worn on the skin like a bandage and used to wirelessly monitor a variety of physical and electrical signals, from respiration, to body motion, to temperature, to eye movement, to heart and brain activity. The device, which is as small and thick as a U.S. dollar coin, can also be used to wirelessly control a robotic arm.

“Our vision is to make 3D stretchable electronics that are as multifunctional and high-performing as today’s rigid electronics,” said senior author Sheng Xu, a professor in the Department of NanoEngineering and the Center for Wearable Sensors, both at the UC San Diego Jacobs School of Engineering.

Xu was named among MIT Technology Review’s 35 Innovators Under 35 list in 2018 for his work in this area.

To take stretchable electronics to the next level, Xu and his colleagues are building upwards rather than outwards. “Rigid electronics can offer a lot of functionality on a small footprint–they can easily be manufactured with as many as 50 layers of circuits that are all intricately connected, with a lot of chips and components packed densely inside. Our goal is to achieve that with stretchable electronics,” said Xu.

The new device developed in this study consists of four layers of interconnected stretchable, flexible circuit boards. Each layer is built on a silicone elastomer substrate patterned with what’s called an “island-bridge” design. Each “island” is a small, rigid electronic part (sensor, antenna, Bluetooth chip, amplifier, accelerometer, resistor, capacitor, inductor, etc.) that’s attached to the elastomer. The islands are connected by stretchy “bridges” made of thin, spring-shaped copper wires, allowing the circuits to stretch, bend and twist without compromising electronic function.

Making connections

This work overcomes a technological roadblock to building stretchable electronics in 3D. “The problem isn’t stacking the layers. It’s creating electrical connections between them so they can communicate with each other,” said Xu. These electrical connections, known as vertical interconnect accesses or VIAs, are essentially small conductive holes that go through different layers on a circuit. VIAs are traditionally made using lithography and etching. While these methods work fine on rigid electronic substrates, they don’t work on stretchable elastomers.

So Xu and his colleagues turned to lasers. They first mixed silicone elastomer with a black organic dye so that it could absorb energy from a laser beam. Then they fashioned circuits onto each layer of elastomer, stacked them, and then hit certain spots with a laser beam to create the VIAs. Afterward, the researchers filled in the VIAs with conductive materials to electrically connect the layers to one another. And a benefit of using lasers, notes Xu, is that they are widely used in industry, so the barrier to transfer this technology is low.

Multifunctional ‘smart bandage’

The team built a proof-of-concept 3D stretchable electronic device, which they’ve dubbed a “smart bandage.” A user can stick it on different parts of the body to wirelessly monitor different electrical signals. When worn on the chest or stomach, it records heart signals like an electrocardiogram (ECG). On the forehead, it records brain signals like a mini EEG sensor, and when placed on the side of the head, it records eyeball movements. When worn on the forearm, it records muscle activity and can also be used to remotely control a robotic arm. The smart bandage also monitors respiration, skin temperature and body motion.

“We didn’t have a specific end use for all these functions combined together, but the point is that we can integrate all these different sensing capabilities on the same small bandage,” said co-first author Zhenlong Huang, who conducted this work as a visiting Ph.D. student in Xu’s research group.

And the researchers did not sacrifice quality for quantity. “This device is like a ‘master of all trades.’ We picked high quality, robust subcomponents–the best strain sensor we could find on the market, the most sensitive accelerometer, the most reliable ECG sensor, high quality Bluetooth, etc.–and developed a clever way to integrate all these into one stretchable device,” added co-first author Yang Li, a nanoengineering graduate student at UC San Diego in Xu’s research group.

So far, the smart bandage can last for more than six months without any drop in performance, stretchability or flexibility. It can communicate wirelessly with a smartphone or laptop up to 10 meters away. The device runs on a total of about 35.6 milliwatts, which is equivalent to the power from 7 laser pointers.

The team will be working with industrial partners to optimize and refine this technology. They hope to test it in clinical settings in the future.

Implantation of a stent-like flow diverter can offer one option for less invasive treatment of brain aneurysms – bulges in blood vessels – but the procedure requires frequent monitoring while the vessels heal. Now, a multi-university research team has demonstrated proof-of-concept for a highly flexible and stretchable sensor that could be integrated with the flow diverter to monitor hemodynamics in a blood vessel without costly diagnostic procedures.

Woon-Hong Yeo, an assistant professor in Georgia Tech’s George W. Woodruff School of Mechanical Engineering and Wallace H. Coulter Department of Biomedical Engineering, holds a flow sensor on a stent backbone. (Credit: John Toon, Georgia Tech)

The sensor, which uses capacitance changes to measure blood flow, could reduce the need for testing to monitor the flow through the diverter. Researchers, led by Georgia Tech, have shown that the sensor accurately measures fluid flow in animal blood vessels in vitro, and are working on the next challenge: wireless operation that could allow in vivo testing.

The research was reported July 18 in the journal ACS Nano and was supported by multiple grants from Georgia Tech’s Institute for Electronics and Nanotechnology, the University of Pittsburgh and the Korea Institute of Materials Science.

“The nanostructured sensor system could provide advantages for patients, including a less invasive aneurysm treatment and an active monitoring capability,” said Woon-Hong Yeo, an assistant professor in Georgia Tech’s George W. Woodruff School of Mechanical Engineering and Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. “The integrated system could provide active monitoring of hemodynamics after surgery, allowing the doctor to follow up with quantitative measurement of how well the flow diverter is working in the treatment.”

Cerebral aneurysms occur in up to five percent of the population, with each aneurysm carrying a one percent risk per year of rupturing, noted Youngjae Chun, an associate professor in the Swanson School of Engineering at the University of Pittsburgh. Aneurysm rupture will cause death in up to half of affected patients.

Endovascular therapy using platinum coils to fill the aneurysm sac has become the standard of care for most aneurysms, but recently a new endovascular approach – a flow diverter – has been developed to treat cerebral aneurysms. Flow diversion involves placing a porous stent across the neck of an aneurysm to redirect flow away from the sac, generating local blood clots within the sac.

“We have developed a highly stretchable, hyper-elastic flow diverter using a highly-porous thin film nitinol,” Chun explained. “None of the existing flow diverters, however, provide quantitative, real-time monitoring of hemodynamics within the sac of cerebral aneurysm. Through the collaboration with Dr. Yeo’s group at Georgia Tech, we have developed a smart flow-diverter system that can actively monitor the flow alterations during and after surgery.”

Repairing the damaged artery takes months or even years, during which the flow diverter must be monitored using MRI and angiogram technology, which is costly and involves injection of a magnetic dye into the blood stream. Yeo and his colleagues hope their sensor could provide simpler monitoring in a doctor’s office using a wireless inductive coil to send electromagnetic energy through the sensor. By measuring how the energy’s resonant frequency changes as it passes through the sensor, the system could measure blood flow changes into the sac.

“We are trying to develop a batteryless, wireless device that is extremely stretchable and flexible that can be miniaturized enough to be routed through the tiny and complex blood vessels of the brain and then deployed without damage,” said Yeo. “It’s a very challenging to insert such electronic system into the brain’s narrow and contoured blood vessels.”

The sensor uses a micro-membrane made of two metal layers surrounding a dielectric material, and wraps around the flow diverter. The device is just a few hundred nanometers thick, and is produced using nanofabrication and material transfer printing techniques, encapsulated in a soft elastomeric material.

“The membrane is deflected by the flow through the diverter, and depending on the strength of the flow, the velocity difference, the amount of deflection changes,” Yeo explained. “We measure the amount of deflection based on the capacitance change, because the capacitance is inversely proportional to the distance between two metal layers.”

Because the brain’s blood vessels are so small, the flow diverters can be no more than five to ten millimeters long and a few millimeters in diameter. That rules out the use of conventional sensors with rigid and bulky electronic circuits.

“Putting functional materials and circuits into something that size is pretty much impossible right now,” Yeo said. “What we are doing is very challenging based on conventional materials and design strategies.”

The researchers tested three materials for their sensors: gold, magnesium and the nickel-titanium alloy known as nitinol. All can be safely used in the body, but magnesium offers the potential to be dissolved into the bloodstream after it is no longer needed.

The proof-of-principle sensor was connected to a guide wire in the in vitro testing, but Yeo and his colleagues are now working on a wireless version that could be implanted in a living animal model. While implantable sensors are being used clinically to monitor abdominal blood vessels, application in the brain creates significant challenges.

“The sensor has to be completely compressed for placement, so it must be capable of stretching 300 or 400 percent,” said Yeo. “The sensor structure has to be able to endure that kind of handling while being conformable and bending to fit inside the blood vessel.”

The research included multiple contributors from different institutions, including Connor Howe from Virginia Commonwealth University; Saswat Mishra and Yun-Soung Kim from Georgia Tech, Youngjae Chun, Yanfei Chen, Sang-Ho Ye and William Wagner from the University of Pittsburgh; Jae-Woong Jeong from the Korea Advanced Institute of Science and Technology; Hun-Soo Byun from Chonnam National University; and Jong-Hoon Kim from Washington State University.

By Iris Tsou

The march to greater precision, efficiency and safety – the lifeblood of high-technology manufacturing facilities – has taken on a new urgency as emerging applications such artificial intelligence (AI), the Internet of Things (IoT) and Industry 4.0 give new meaning to smart factories. Facing fiercer competition and ever more sophisticated fabrication processes, semiconductor fabs are under intense pressure to keep pace with new technologies as they work to upgrade. Nowhere are the stakes higher than in Taiwan, where high-tech manufacturing contributes mightily to the region’s GDP growth.

To help Taiwan fabs confront the challenges and opportunities of designing smarter factories, SEMI and its High-Tech Facility Committee hosted the High-Tech Facility Workshop in June. SEMICON Taiwan 2018 High-Tech Facility Pavilion exhibitors gathered to explore how they can build smarter factories by deploying smart surveillance and disaster prevention technologies along with smart communications systems that better use manufacturing data to drive new safety and product quality efficiencies.

During the workshop, SEMI High-Tech Facility Committee representatives shared strides it has made upgrading overseas facilities and developing standards to help establish smart factories in Taiwan.

SEMICON Taiwan – 5-7 September at Taipei’s Nangang Exhibition Center – is also an important event for advancing smart manufacturing in Taiwan. Nearly 30 leading global manufacturers will exhibit at the SEMICON Taiwan High-Tech Facility Pavilion. The venue covers operational aspects of semiconductor manufacturing vital to becoming smarter including energy savings, nano-contamination control, facility information modeling, precision instrumentation and control, fire protection, mechatronics, and automation control. The pavilion will also feature a series of theme events offering a comprehensive overview of topics including the latest practices for integrating smart facility capabilities from the perspective of an advanced fab designer.

At the TechXPOT stage, High-Tech Facility Pavilion exhibitors will also demonstrate the latest technology breakthroughs and cutting-edge smart factor solutions.

The September 6th High-Tech Facility International Forum at SEMICON Taiwan will again gather factory experts and thought leaders from industry and academia to examine “Effective Ways to Make a Facility Smart.“ Experts from industry heavyweights in the fields of wafer foundry, LCD, memory and semiconductor packaging including TSMC, UMC, Innolux, ASE, Micron Taiwan, Winbond and VIS will offer insights into key areas of high-tech facilities including facility electricity, machinery, water management, vaporization and automation systems. On the same day as the forum, the High-Tech Facility Get-Together and High-Tech Facility VIP Dinner will bring together industry elites, academic professionals, and government officials to explore partnership opportunities.

SEMI Taiwan and the High-Tech Facility Committee share HTF market trends information, technology updates and standards with SEMI members and exhibitors.

Founded in 2013, the High-Tech Facility Committee now has 85 corporate members. Dedicated to accelerating industry collaboration through the integration of Taiwan industrial, government and academic resources, the committee each year holds several group meetings focusing on topics including energy savings, earthquake and fire protection, nano-contamination control, and precision instrumentation and control to advance critical technologies and facilitate standardization. The committee also aims to help the industry become more competitive faster by promoting technology standards that boost productivity and reduce production costs.

Please visit www.semi.org and www.semicontaiwan.org for more information about SEMI’s high-tech facility initiatives.

Iris Tsou is a marketing specialist at SEMI Taiwan. 

Originally published on the SEMI blog.

Wearable devices are increasingly bought to track and measure health and sports performance: from the number of steps walked each day to a person’s metabolic efficiency, from the quality of brain function to the quantity of oxygen inhaled while asleep. But the truth is we know very little about how well these sensors and machines work — let alone whether they deliver useful information, according to a new review published in Frontiers in Physiology.

“Despite the fact that we live in an era of ‘big data,’ we know surprisingly little about the suitability or effectiveness of these devices,” says lead author Dr Jonathan Peake of the School of Biomedical Sciences and Institute of Health and Biomedical Innovation at the Queensland University of Technology in Australia. “Only five percent of these devices have been formally validated.”

The authors reviewed information on devices used both by everyday people desiring to keep track of their physical and psychological health and by athletes training to achieve certain performance levels. The devices — ranging from so-called wrist trackers to smart garments and body sensors designed to track our body’s vital signs and responses to stress and environmental influences — fall into six categories:

  • devices for monitoring hydration status and metabolism
  • devices, garments and mobile applications for monitoring physical and psychological stress
  • wearable devices that provide physical biofeedback (e.g., muscle stimulation, haptic feedback)
  • devices that provide cognitive feedback and training
  • devices and applications for monitoring and promoting sleep
  • devices and applications for evaluating concussion

The authors investigated key issues, such as: what the technology claims to do; whether the technology has been independently validated against some recognized standards; whether the technology is reliable and what, if any, calibration is needed; and finally, whether the item is commercially available or still under development.

The authors say that technology developed for research purposes generally seems to be more credible than devices created purely for commercial reasons.

“What is critical to understand here is that while most of these technologies are not labeled as ‘medical devices’ per se, their very existence, let alone the accompanying marketing, conveys a sensibility that they can be used to measure a standard of health,” says Peake. “There are ethical issues with this assumption that need to be addressed.”

For example, self-diagnosis based on self-gathered data could be inconsistent with clinical analysis based on a medical professional’s assessment. And just as body mass index charts of the past really only provided general guidelines and didn’t take into account a person’s genetic predisposition or athletic build, today’s technology is similarly limited.

The authors are particularly concerned about those technologies that seek to confirm or correlate whether someone has sustained or recovered from a concussion, whether from sports or military service.

“We have to be very careful here because there is so much variability,” says Peake. “The technology could be quite useful, but it can’t and should never replace assessment by a trained medical professional.”

Speaking generally again now, Peake says it is important to establish whether using wearable devices affects people’s knowledge and attitude about their own health and whether paying such close attention to our bodies could in fact create a harmful obsession with personal health, either for individuals using the devices, or for family members. Still, self-monitoring may reveal undiagnosed health problems, said Peake, although population data is more likely to point to false positives.

“What we do know is that we need to start studying these devices and the trends they are creating,” says Peake. “This is a booming industry.”

In fact, a March 2018 study by P&S Market Research indicates the wearable market is expected to generate $48.2 billion in revenue by 2023. That’s a mere five years into the future.”

The authors highlight a number of areas for investigation in order to develop reasonable consumer policies around this growing industry. These include how rigorously the device/technology has been evaluated and the strength of evidence that the device/technology actually produces the desired outcomes.

“And I’ll add a final question: Is wearing a device that continuously tracks your body’s actions, your brain activity, and your metabolic function — then wirelessly transmits that data to either a cloud-based databank or some other storage — safe, for users? Will it help us improve our health?” asked Peake. “We need to ask these questions and research the answers.”

A new way of arranging advanced computer components called memristors on a chip could enable them to be used for general computing, which could cut energy consumption by a factor of 100.

This would improve performance in low power environments such as smartphones or make for more efficient supercomputers, says a University of Michigan researcher.

This is the memristor array situated on a circuit board. Credit: Mohammed Zidan, Nanoelectronics group, University of Michigan.

“Historically, the semiconductor industry has improved performance by making devices faster. But although the processors and memories are very fast, they can’t be efficient because they have to wait for data to come in and out,” said Wei Lu, U-M professor of electrical and computer engineering and co-founder of memristor startup Crossbar Inc.

Memristors might be the answer. Named as a portmanteau of memory and resistor, they can be programmed to have different resistance states–meaning they store information as resistance levels. These circuit elements enable memory and processing in the same device, cutting out the data transfer bottleneck experienced by conventional computers in which the memory is separate from the processor.

However, unlike ordinary bits, which are 1 or 0, memristors can have resistances that are on a continuum. Some applications, such as computing that mimics the brain (neuromorphic), take advantage of the analog nature of memristors. But for ordinary computing, trying to differentiate among small variations in the current passing through a memristor device is not precise enough for numerical calculations.

Lu and his colleagues got around this problem by digitizing the current outputs–defining current ranges as specific bit values (i.e., 0 or 1). The team was also able to map large mathematical problems into smaller blocks within the array, improving the efficiency and flexibility of the system.

Computers with these new blocks, which the researchers call “memory-processing units,” could be particularly useful for implementing machine learning and artificial intelligence algorithms. They are also well suited to tasks that are based on matrix operations, such as simulations used for weather prediction. The simplest mathematical matrices, akin to tables with rows and columns of numbers, can map directly onto the grid of memristors.

Once the memristors are set to represent the numbers, operations that multiply and sum the rows and columns can be taken care of simultaneously, with a set of voltage pulses along the rows. The current measured at the end of each column contains the answers. A typical processor, in contrast, would have to read the value from each cell of the matrix, perform multiplication, and then sum up each column in series.

“We get the multiplication and addition in one step. It’s taken care of through physical laws. We don’t need to manually multiply and sum in a processor,” Lu said.

His team chose to solve partial differential equations as a test for a 32×32 memristor array–which Lu imagines as just one block of a future system. These equations, including those behind weather forecasting, underpin many problems science and engineering but are very challenging to solve. The difficulty comes from the complicated forms and multiple variables needed to model physical phenomena.

When solving partial differential equations exactly is impossible, solving them approximately can require supercomputers. These problems often involve very large matrices of data, so the memory-processor communication bottleneck is neatly solved with a memristor array. The equations Lu’s team used in their demonstration simulated a plasma reactor, such as those used for integrated circuit fabrication.

Imec, a research and innovation hub in nanoelectronics and digital technologies, announces that Niels Verellen, one of its young scientists, has been awarded an ERC Starting Grant. The grant of 1.5 million euros (for 5 years) will be used to enable high-resolution, fast, robust, zero-maintenance, inexpensive and ultra-compact microscopy technology based on on-chip photonics and CMOS image sensors. The technology paves the way for multiple applications of cell imaging in life sciences, biology, and medicine and compact, cost-effective DNA sequencing instruments.

Microscopy is an indispensable tool in biology and medicine that has fueled many breakthroughs. Recently the world of microscopy has witnessed a true revolution in terms of increased resolution of fluorescent imaging techniques, including a Nobel Prize in 2014. Yet, these techniques remain largely locked-up in specialized laboratories as they require bulky, expensive instrumentation and highly skilled operators.

The next big push in microscopy with a large societal impact will come from extremely compact and robust optical systems that will make high-resolution microscopy highly accessible and as such facilitate the diagnosis and treatment of diseases or disorders caused by problems at the cell or molecular level, such as meningitis, malaria, diabetes, cancer, and Alzheimer’s disease. Moreover, it will pave the way to DNA analysis as a more standard procedure, not only for the diagnosis of genomic disorders or in forensics, but also in cancer treatment, follow-up of transplants, the microbiome, pre-natal tests, and even agriculture, and archeology.

Niels Verellen, Senior Photonics Researcher & project leader at imec: “Compact, high-resolution and high-throughput microscopy devices will induce a profound change in the way cell biologists do research, in the way DNA sequencing becomes more and more accessible, in the way certain diseases can be diagnosed, new drugs are screened in the pharma industry, and healthcare workers can diagnose patients in remote areas.”

The topic of Verellen’s ERC grant is the development of Integrated high-Resolution On-Chip Structured Illumination Microscopy (IROCSIM). This new technology is based on a novel imaging platform that integrates active on-chip photonics and CMOS image sensors. “Whereas existing microscopy techniques today suffer from a trade-off between equipment size, field-of-view, and resolution, the IROCSIM solution will eliminate the need for bulky optical components and enable microscopy in the smallest possible form-factor, with a scalable field-of-view and without compromising the resolution,” continues Verellen.

The European Research Council (ERC) is a pan European funding body designed to support investigator-driven frontier research and stimulate scientific excellence across Europe. The ERC aims to support the best and most creative scientists to identify and explore new opportunities and directions in any field of research. ERC Starting grants in particular are designed to support outstanding researchers with 2 to 7 years postdoctoral experience.

Jo De Boeck, imec’s CTO says: “We are very proud that young researchers such as Niels Verellen are awarded an ERC Starting Grant and as such get a unique opportunity to fulfill their ambitions and creative ideas in research. At imec, we select and foster our young scientists and provide them with a world-class infrastructure. These ERC Starting Grants show that their work indeed meets the highest standards.”

Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely across a miniature brain-like grid, showcasing a potential new design for neural networks.

NIST’s grid-on-a-chip distributes light signals precisely, showcasing a potential new design for neural networks. The three-dimensional structure enables complex routing scheme, which are necessary to mimic the brain. Light could travel farther and faster than electrical signals. Credit: Chiles/NIST

The human brain has billions of neurons (nerve cells), each with thousands of connections to other neurons. Many computing research projects aim to emulate the brain by creating circuits of artificial neural networks. But conventional electronics, including the electrical wiring of semiconductor circuits, often impedes the extremely complex routing required for useful neural networks.

The NIST team proposes to use light instead of electricity as a signaling medium. Neural networks already have demonstrated remarkable power in solving complex problems, including rapid pattern recognition and data analysis. The use of light would eliminate interference due to electrical charge and the signals would travel faster and farther.

“Light’s advantages could improve the performance of neural nets for scientific data analysis such as searches for Earth-like planets and quantum information science, and accelerate the development of highly intuitive control systems for autonomous vehicles,” NIST physicist Jeff Chiles said.

A conventional computer processes information through algorithms, or human-coded rules. By contrast, a neural network relies on a network of connections among processing elements, or neurons, which can be trained to recognize certain patterns of stimuli. A neural or neuromorphic computer would consist of a large, complex system of neural networks.

Described in a new paper, the NIST chip overcomes a major challenge to the use of light signals by vertically stacking two layers of photonic waveguides–structures that confine light into narrow lines for routing optical signals, much as wires route electrical signals. This three-dimensional (3D) design enables complex routing schemes, which are necessary to mimic neural systems. Furthermore, this design can easily be extended to incorporate additional waveguiding layers when needed for more complex networks.

The stacked waveguides form a three-dimensional grid with 10 inputs or “upstream” neurons each connecting to 10 outputs or “downstream” neurons, for a total of 100 receivers. Fabricated on a silicon wafer, the waveguides are made of silicon nitride and are each 800 nanometers (nm) wide and 400 nm thick. Researchers created software to automatically generate signal routing, with adjustable levels of connectivity between the neurons.

Laser light was directed into the chip through an optical fiber. The goal was to route each input to every output group, following a selected distribution pattern for light intensity or power. Power levels represent the pattern and degree of connectivity in the circuit. The authors demonstrated two schemes for controlling output intensity: uniform (each output receives the same power) and a “bell curve” distribution (in which middle neurons receive the most power, while peripheral neurons receive less).

To evaluate the results, researchers made images of the output signals. All signals were focused through a microscope lens onto a semiconductor sensor and processed into image frames. This method allows many devices to be analyzed at the same time with high precision. The output was highly uniform, with low error rates, confirming precise power distribution.

“We’ve really done two things here,” Chiles said. “We’ve begun to use the third dimension to enable more optical connectivity, and we’ve developed a new measurement technique to rapidly characterize many devices in a photonic system. Both advances are crucial as we begin to scale up to massive optoelectronic neural systems.”