logistics

From the need for more tech talent to fuel digital transformation across all industries to the great resignation and great retirement of workers en masse, the demand for tech talent continues unabated.

For the first time in its 20-year history, the FLEX Conference dedicated an entire session to the important and timely twin topics of environmental sustainability and power consumption of electronic devices. The event planning committee recognized the urgent need to increase the awareness of how technology and electronics devices can help reduce greenhouse gas emissions (GGE) overall and meet aggressive targets to curb the impacts of climate change. Dr. Christine Ho, CEO of Imprint Energy, delivered the keynote for the session, focusing on the need for powering billions of sensors that will be deployed annually, and their role in reducing fossil fuel emissions through becoming aware of issues, monitoring our resources over time, and intervening early and often to combat waste in multiple sectors and industry. Quoting extensively from the organization Exponential Roadmap Initiative (ERI), Ho noted that “the digital sector has the potential to directly reduce fossil fuel emissions 15% by 2030 and indirectly support a further reduction of 35% by influencing consumer and business decisions and systems transformation.” The initiative’s playbook for reaching net zero carbon emissions by 2050 and limiting global warming to 1.5° Celsius outlines how the digital sector can help remove 13 of the 27 gigatons (GT) of CO2 needed to reach this goal. Ho stated that the rapidly emerging Internet of Things (IoT), devices, software systems, and data insights are the backbone of this digital transformation. The IoT's vast network of sensors can transform multiple sectors, such as the logistics industry, which on an annual basis moves and ships more than 10 billion tons of products worldwide by ships, airplanes, long haul trucks, and train - contributing 17% of GGE and more than 4 gigatons of CO2 annually. Always-connected IoT sensors used by the logistics industry can reduce waste and damage in the supply chain, which is especially problematic for temperature-sensitive and damage prone pharmaceutical and food products, mitigating the need for producing high volumes of buffer inventory to replace damaged goods Noting that the attendees of 20 Years of FLEX Conferences were a big part of the current advancements of low-cost printed, active, shipping tags, Ho said that Imprint Energy’s flexible and thin, Zinc based batteries are ideal for IoT devices, since they boast a significantly smaller carbon footprint than Lithium-Ion (Li-ion) batteries. Imprint Energy is working with systems designers and integrators to design the battery as an integral part of the device package and use low-power strategies to extend device lifetimes. Imprint recommends co-locating battery printing alongside the device integration to further minimize shipping and logistics. When manufactured separately, Imprint’s small footprint, low-operating temperature process line (less than 80°C) provides significant carbon footprint advantages over other technologies. Ho challenged the attendees, saying “we all need to participate in protecting our earth. We need to eliminate waste and contribute to reducing half of our current greenhouse gas emissions by 2030, and we can do that by deploying a global digital skin with more than 100 billion IoT devices in 2030 and up to 1 trillion by 2050. We can minimize the device carbon footprint and maximize its longevity by considering the power capability, as well as design for re-use and re-cycling of the critical materials.” Following Dr. Ho’s presentation, FLEX kicked off a spirited panel discussion with experts from PowerRox, ITN Energy Systems, Birla Carbon, and Auburn University and chaired by Bob Praino and Eric Forsythe, from Chasm Advanced Materials and the Army Research Labs, respectively. The speakers summarized their on-demand presentations and looked at what is being done today to recycle Lithium-Ion batteries, how IoT devices are currently being powered, and drew comparisons between the early days of the Internet and development of the IoT. The speakers generally agreed that the power requirements of wireless cellular and Blue-tooth devices were still too high and run times too short. FLEX 2021 was a virtual event in the 2021 SEMI Technology Series. It was organized by SEMI FlexTech, SEMI NBMC, and NextFlex. Major sponsors included E Ink and Novacentrix. The event covered technical developments in flexible, printed and hybrid electronics, featuring more than 100 presentations and networking opportunities. Technical proceedings are available until March 26 at http://flex.semi.org. Heidi Hoffman is senior director in Corporate Marketing at SEMI.

VTT Technical Research Centre of Finland Ltd (VTT) has its sights set high. As a leading global research and development firm , VTT is out to produce bio-interfacing and biodegradable flexible hybrid electronics (FHE) devices that help tackle some of the world’s greatest challenges including environmental degradation and food scarcity.SEMI’s Maria Vetrano interviewed Antti Vasara, president and CEO of VTT Technical Research Centre of Finland, to preview his February 25 keynote, Beyond Flexible Hybrid Electronics: Biodegradable Electronics and Interfacing Bio+Electronics, at FLEX|MEMS Sensors Technical Congress (MSTC) 2020, February 24-27 at the DoubleTree by Hilton in San Jose, California. Join us at FLEX|MSTC to meet Antti and other industry influencers driving innovation in flexible hybrid electronics (FHE) and MEMS sensors. Register now to connect with him at FLEX|MSTC or visit him on LinkedIn.SEMI: What is body-interfacing electronics and what is your vision for bio-interfacing and biodegradable electronics?Vasara: Body-interfacing electronics have existed for decades. Developed in the 1970s, the wireless heart rate monitor is a good example. While continuous heart monitoring with a compact, inexpensive wearable device is widely accessible technology, other bodily parameters, such as cholesterol levels or biomarkers, are diagnosed every time we see a doctor. Establishing a baseline using multiple measurements — before symptoms develop is actually much more effective.That’s where bio-interfacing comes in. Bio-interfacing devices will continuously measure and analyze complex biogenic substances such as sweat, breath, blood and urine. A smart patch for continuous sweat monitoring, for example, would overcome several challenges: supporting electronics functionality in liquid environments, managing the transport of harvested samples to and from the sensor, managing potential contamination, and disposing of samples after measurement.While FHE in principle delivers the right building blocks and is an ideal form factor for a wearable sweat analytics patch, flexible circuits are not ready for out-of-the box interaction with biological matrices. Hence, our mission at VTT is to anticipate and develop the upscaling process know-how required for FHE devices that either interface with biological systems — or that must themselves biodegrade.We’re also focusing on biodegradable electronics because environmentally conscious end-users and manufacturing companies want biodegradable versions of energy-autonomous, label- or sticker-like Internet of Things (IoT) sensors. Typically used for packaging, logistics, environmental monitoring and medical diagnostics applications, these sensors — which have a lifetime of a few days, weeks or months — have become very popular. Unless they are biodegradable, however, they just add to landfill.SEMI: What approaches is VTT using to develop bio-interfacing and biodegradable electronics?Vasara: In our Business Finland-funded ECOtronics project, we are working with our partners to create recyclable and compostable electronics and optics that use renewable resources. For example, devices developed using substrate materials like paper, cardboard or VTT’s in-house-developed nanocellulose films and biopolymer films for environmental monitoring or skin patches can be easily recycled or even biodegrade naturally. Where possible, we use roll-to-roll printing to generate the device circuitry, and on a component level, we have optimized our assembly process towards bare-die component bonding to reduce the overall footprint of non-biodegradable waste per device.SEMI: What use cases do you find most promising and why?Vasara: A prominent example of a single-use test that generates a large amount of waste is the digital pregnancy test. When breaking it down into components, you will find a rigid circuit board with microprocessor, a couple of coin cell batteries, a liquid crystal display, a LED light source and photodiode, and a large chunk of plastic packaging around it. The materials and battery capacity of such a device would be sufficient to run hundreds of pregnancy tests – actually technical overkill.By using printed circuits on biodegradable substrates, bare-die assembled components (ASIC, LED light sources, photo diodes, thin film batteries as power sources) and device packaging composed of biodegradable plastics, we can completely redefine the environmental footprint of single-use tests. We are currently developing a toolbox for our customers to turn their existing conventional test into an ecotronic form factor.Another exciting use case is a sweat sensor that we developed collaboratively with Ali Javey, Ph.D., professor of Electrical Engineering and Computer Sciences, UC Berkeley, and the co-director of Berkeley Sensor and Actuator Center (BSAC). Together with his team, we created a wearable electrochemical sensor for continuous sweat analysis during exercise. With the UC Berkeley group providing the chemistry to monitor N+, K+ ion and hydration levels in sweat over the duration of several hours, VTT delivered the underlying sensor platform, featuring the printed sensor electrodes and sweat harvesting microfluidic channels for fluid management and transport. It’s exciting to see what we can achieve by combining techniques from different disciplines, in this case electrochemistry, printing, packaging and microelectronics.SEMI: How can industry enable the development/manufacture of flexible FHE devices? Where does VTT fit into the ecosystem?Vasara: As many FHE devices target large-volume markets, scalability of manufacturing is key: How can I get from one device (= working prototype) to a handful of devices (= feasibility study), to thousands (= pilot manufacturing), to a million (= mass manufacturing) without compromising the quality of the system’s performance and reliability?Access to upscaling infrastructure is essential for the development of novel FHE devices and methods, but infrastructure is expensive. That’s where our establishment of a roll-to-roll pilot printing line to bridge the gap between laboratory R D and mass manufacturing has proved invaluable. We can provide a unique worldwide upscaling infrastructure for advanced FHE devices, with a strong focus on large-area roll-to-roll processes and hybrid assembly. This service removes our customers’ burden of high infrastructure investment in early development stages and it allows us to guide customers along their development path, from prototype to mass production.Watch our video: VTT pilot manufacturing for diagnostics and wearablesSEMI: Is there anything else that device manufacturers need to know in order to succeed?Vasara: In my eyes, the success of FHE devices eventually depends on several factors: It requires a high degree of automation, well-optimized processes, reliable supply chains, and perhaps most importantly, clear standards and rules for designers to guarantee flawless interoperability of all the different elements on a flexible and hybrid circuit. Let us not forget – we are trying to marry electronics with printing, biology, packaging, microfluidics, injection molding and other fields of expertise.We recently finalized the compilation of a set of design rules for publication in our state-of-the-art overview of printed and hybrid electronics manufacturing methods. You can download the overview, PrintoCent Handbook, for free.SEMI: What would you like FLEX|MSTC attendees to take away from your presentation?Vasara: The latest technologies and innovations in microelectronics, MEMS, printing, materials, and biosensors provide us a toolbox for true innovation in the FHE space. Now we need cross-disciplinary thinking and daring steps to combine different manufacturing methods and skill-sets. The ideal cross-disciplinary team might include: The printing engineer who knows how to design contact pads for a bare-die IC assembly The biologist who knows about the thermal and mechanical stress in a printing environment to design processes for bio-functionalization of surfaces The electronics engineer who knows how to optimize a circuit powered with an enzymatic biofuel cell The number of sensors deployed on (or inside) our body, in our drinking water, in our cars, on our fields, in our pets, and everyday products will surely grow. Let us make sure they leave the smallest environmental footprint possible.Antti Vasara, Ph.D. has been the president and CEO of VTT Ltd since 2015. VTT is a visionary research, development and innovation partner with over 2000 people and a turnover exceeding 250M EURO. Vasara is president of EARTO (European Association of Research and Technology Organisations) and is chairman of the board of Palta (Finnish Service Sector Employers). In addition, he is a non-executive director of Elisa Oyj (largest communications operator in Finland) and a board member at EK (Finnish Confederation of Industries).He has served on several high-profile groups on industrial and innovation policy of the European Commission, in addition to several groups in Finland on artificial intelligence and research policy. Previously, Vasara spent close to 25 years in private industry, working at Nokia, Tieto, SmartTrust and McKinsey Company. Earlier in his career, he was a researcher in optical communications with 20+ peer-reviewed articles and one international patent. Vasara holds a Doctor of Science (Technology) degree from Aalto University in Finland.For more information about VTT’s work in bio-interfacing and biodegradable FHE devices, visit VTT Research. FLEX|MSTC is organized MEMS Sensors Industry Group (MSIG) and FlexTech, SEMI technology communities focused on the growth of MEMS sensors and the flexible electronics supply chain, respectively.Maria Vetrano is a public relations consultant at SEMI.

In the long unfolding arc of technology innovation, artificial intelligence (AI) looms immense. In its quest to mimic human behavior, the technology touches energy, agriculture, manufacturing, logistics, healthcare, construction, transportation and nearly every other imaginable industry – a defining role that promises to fast track the fourth Industrial Revolution. And if the industry oracles have it right, AI growth will be nothing shy of explosive.“The gains these days are not incremental,” said Ajit Manocha, SEMI president and CEO, said to a gathering in July of the Chinese American Semiconductor Professional Association (CASPA) for its Summer Symposium at SEMI’s headquarters in Milpitas. “They are hockey stick – exponential – with AI semiconductors growing in market size from $4 billion this year to $70 billion in 2025.”Manocha left little doubt that AI is remaking the semiconductor industry and, in the process, the world at large. Internet of Things (IoT) and 4G/5G, both key AI enablers, will account for more than 75 percent of device connections by 2025.“Today, 30 billion devices worldwide are connected,” Manocha said, citing an Applied Materials prediction that the number of connected devices globally will grow to between 500 billion and 1 trillion by 2030. Those devices will generate stunning amounts of data collected, interpreted and used to reason, solve problems, learn and plan, leading to the holy grail of autonomous machine behavior.To process this colossal amount of data central to the promise of AI, the industry must break through the limits of a key technology: memory. Memory a Critical AI BottleneckThe challenge for memory starts with performance. Historically, every decade gains in compute performance have outpaced improvements in memory speed by 100 times, and over the past 20 years that gap has grown, said Steven Woo, a fellow and distinguished inventor at Rambus, presenting at the symposium. The upshot is that memory has bottlenecked compute and, in turn, AI performance. The industry has responded with new ways to implement memory systems on AI chips. Each is suited to unique performance requirements and, of course, comes with trade-offs. Among the frontrunners: On-chip memory delivers the highest bandwidth and power efficiency but is limited in capacity. HBM (High Bandwidth Memory) offers both very high memory bandwidth and density. GDDR balances trade-offs among bandwidth, power efficiency, cost and reliability. Since 2012, AI training capability has grown 300,000 times, besting Moore’s law by 25,000 times in doubling every 3.5 months, a blistering pace compared to the 18-month doubling cycle of Moore’s law, Woo said. The staggering improvements have been driven by parallel computing capacity and new application-specific silicon like Google’s Tensor Processing Unit (TPU).These specialized silicon architectures and parallel engines are key to sustaining future gains in compute performance and combatting the slowing of Moore’s Law and the end of power scaling, Woo said. By rethinking the way processors are architected for certain markets, chipmakers can develop dedicated hardware capable of operating with 100 to 1,000 times greater energy efficiency than general purpose processors to overcome another big limiter to scaling compute performance – power.For its part, the memory industry can improve performance by signaling at higher data rates and using stacked architectures like HBM for greater power efficiency and performance, and by bringing compute closer to the data.Memory scaling for AIA key challenge is scaling memory for AI. Demand for better voice, gesture and facial recognition experiences and more immersive virtual reality and augmented reality interactions is tremendous, said Bill En, senior director at AMD, speaking at the symposium. These capabilities require more processing power across both high-performance computing (HPC) for big data analytics and machine learning as it relies on AI and machine intelligence to generate meaningful insights. Emerging machine learning applications include classification and security, medicine, advanced driver assistance, human-aided design, real-time analytics and industrial automation. And with 75 billion IoT-connected devices – all generating data – expected by 2025, there will be no shortage of data to analyze, En said. The wings alone of a new Airbus A380-1000 feature some 10,000 sensors.Mountains of this data are stored in massive data centers on magnetic hard drives, then transferred to DRAM before moving to SRAM within the CPU for the handoff to the compute hardware for analysis.With data growing at an exponential clip, the question is how to make sure all other memory systems can handle the flood of data. AMD’s answer is a chiplet architecture featuring eight smaller chips around the edge that drive the compute and a large chip in the center that doubles the IO interface and memory capability to in turn double chip bandwidth.AMD has also moved from a legacy GDDR5 memory chip configuration to HBM to bring memory bandwidth closer to the GPU for more efficient processing of AI applications. The HBM provides much higher bandwidth while reducing power consumption. Compared to DRAM, AMD’s HBM delivers a much faster data rate and far greater memory density, En said.Over the next decade, look for more performance improvements from multi-chip architectures, innovations in memory technology and integration, aggressive 3D stacking and streamlined system-level interconnects, he said. The industry will also continue to drive performance gains in devices, compute density and power through technology scaling.Michael Hall is a global marketing communications manager at SEMI.