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According to Moore's law, since the introduction of the first semiconductors, the number of transistors on an integrated circuit has doubled approximately once every 18 months.

However, now that transistors are starting to reach near-atomic sizes, their reduction is becoming increasingly problematic, and as such, this doubling effect is beginning to plateau.

One technology research institute, CEA-Leti, is developing techniques to increase the power of semiconductors.

But what are these new technologies and how will they affect modern electronics?

Developers are increasingly searching for efficient ways toreplace portable power sources that require charging or replacement.

However, such a feat is only possible if power can be extracted from the local environment, like in the instance of a device from the University of Massachusetts Amherst that powers small electronics from moisture in the air.

A more conventionalmethod for energy extraction is using the Peltier effect, which requires a heat differential (such as cold air on a warm wrist), but these are often cumbersome and require heat sinks.

Another method is the use of vibration energy from motion, whereby a cantilever vibrates a piezo element, converting the mechanical energy to electrical energy.

Butthese systems are problematic because they are often tuned for one frequency of vibration. This means that their efficiency is only maximized when external mechanical energy is of the same frequency.

This is where CEA-Letis energy harvesting system comes in.

The energy harvesting systemconverts mechanical energy into electrical energy to power an IC. While similar to a cantilever system, which converts mechanical motion into electrical energy using a piezo effect, the cantilever is electrically tunable, allowingit to match its resonant frequency to the peak frequency of the external mechanical force.

Using an adjustable resonant system increases the harvesting bandwidth by 446%from typical cantilever systems and increases energy efficiency by 94%. The energy needed to control the system is two orders of magnitude lower than what the system harvests; the system requires around 1 W while the energy harvested is between 100 W and 1 mW.

While quantum computing will bring some major changes to the field of computation, they are far from becoming commercialized.

Many hurdles, such as low-temperature requirements, make them difficult to put into everyday applications. But one area, in particular, that is problematic is their integration into standard circuitry.

In a study on energy-efficient quantum computing, researchers explain thatqubits, which are bits in superposition states,must be kept well away from external sources of energy. This is becauseany exposure to external energy puts the qubits at risk ofcollapsing their wavefunction. Such sources of energy can include magnetic field fluctuations, electromagnetic energy, and heat (mechanical vibration).

To make things more complicated, quantum computer circuitry is at some point required to interface with traditional electronic circuitry, such as analog and digital circuits. If these circuits are external to the quantum circuitry, then the issue of space and speed become an issue; remote circuitry takes more room, and the distance reduces the speed at which information can be accessed.

To address these issues, CEA-Leti hasdeveloped a quantum computing technology that combines qubits with traditional digital and analog circuitry on the same piece of silicon using standard manufacturing techniques.

The 28 nm FD-SOI process combines nA current-sensing analog circuitry, buffers, multiplexers, oscillators, and signal amplifiers with an on-chip double quantum dot whose operation is not affectedeven when using the traditional circuitry at digital frequencies up to 7 GHz and analog frequencies up to 3 GHz.

The IC, which operates at 110 mK, is able to provide nA current-sensing while operating on a power budget to prevent interference with the quantum dots, which is 40 times lower than competing technologies.

As the number of transistors on a chip increases, the chances of one failing also increases, thusdecreasingthe yield of wafers. One workaround is to make chips smaller and include fewer transistorswhile also connecting multiple chips together, thus increasingthe overall transistor count.

However, PCBs have issues with connecting multiple dies together. These issues may involve limited bandwidth and the inability to integrate other active circuitry required by the dies, such as power regulation.

CEA-Leti hasmade a breakthrough in IC technology with its active interposer layer and 3D stacked chips.

Namely, the team has developed a 96-core processor on six chiplets, 3D stacked on an active interposer.

Just like the PCB topology, CEA-Leti uses a layer with metal interconnects that connect different dies on a single base. Butunlike a PCB, the interconnection layer is a piece of semiconductor only 100 m thick.

What makes the interposer more impressive is that it isactive. It alsohas integrated circuitry, including transistors. Therefore, the interposer can integrate power regulators, multiplexers, and digital processors, meaningthat the diesdirectly attached to the imposers operate at high-speeds. They alsohave all their needed handling circuitry next to them.

The use of the active imposer also means that smaller ICs with reduced transistor counts can be combined to produce complex circuitry.This improves wafer yields, reduces their overall cost, and expands their capabilities.

These three technologies coming out of CEA-Leti give us a glimpse intoa future where ICs may generate their own power oreven be able to integrate quantum circuitry.

The energy harvesting technology may struggle to find its way into modern designs because most portable applications require relatively large amounts of power (compared to 1 mW) and these devices are often stationary.

The use of quantum circuitry with traditional construction techniques means that quantum security (which may become essential) can be integrated into everyday devicessuch as smartphones, tablets, and computers. Until quantum computing becomes commercial, though, this technology will likely remain niche.

Technologies such as the active imposer may be the first technology of the three discussed here to become widespread as it easily solves modern transistor reduction-related issues.

Is there a specific functionality you can't seem to find in an IC? What limitations do you feel are keeping researchers from making your "dream" IC breakthrough? Share your thoughts in the comments below.

Originally posted here:
IC Breakthroughs: Energy Harvesting, Quantum Computing, and a 96-Core Processor in Six Chiplets - News - All About Circuits

The world is surrounded by technology technology that makes our jobs easy, the technology that makes our commute easy, the technology that makes out communication easy and so on. Hence, such advancements have turned into a boon to our lives while easing out numerous works that would conventionally take a long time to complete. Now that we look back we see so many new technologies have taken over the world that its nearly impossible to enlist them at once. And how further advancements will impact our lives in new ways we cannot even imagine.

MIT has drafted a list of top 10 strategic technology breakthroughs that will revolutionize our lives in the coming years.

An internet based on quantum physics will soon enable inherently secure communication. A team led by Stephanie Wehner, at Delft University of Technology, is building a network connecting four cities in the Netherlands entirely by means of quantum technology. Messages sent over this network will be unhackable.

The Delft network will be the first to transmit information between cities using quantum techniques from end to end.The technology relies on a quantum behavior of atomic particles called entanglement. Entangled photons cant be covertly read without disrupting their content.

Heres a definition of a hopeless case: a child with a fatal disease so exceedingly rare that not only is there no treatment, theres not even anyone in a lab coat studying it. Too rare to care, goes the saying.

Thats about to change, thanks to new classes of drugs that can be tailored to a persons genes. If an extremely rare disease is caused by a specific DNA mistakeas several thousand aretheres now at least a fighting chance for a genetic fix through hyper-personalized medicine. One such case is that of Mila Makovec, a little girl suffering from a devastating illness caused by a unique genetic mutation, who got a drug manufactured just for her. Her case made the New England Journal of Medicine in October after doctors moved from a readout of her genetic error to treatment in just a year. They called the drug milasen, after her. The treatment hasnt cured Mila. But it seems to have stabilized her condition: it has reduced her seizures, and she has begun to stand and walk with assistance.

Milas treatment was possible because creating a gene medicine has never been faster or had a better chance of working. The new medicines might take the form of gene replacement, gene editing, or antisense (the type Mila received), a sort of molecular eraser, which erases or fixes erroneous genetic messages. What the treatments have in common is that they can be programmed, in digital fashion and with digital speed, to correct or compensate for inherited diseases, letter for DNA letter.

Last June Facebook unveiled a global digital currency called Libra. The idea triggered a backlash and Libra may never launch, at least not in the way it was originally envisioned. But its still made a difference: just days after Facebooks announcement, an official from the Peoples Bank of China implied that it would speed the development of its own digital currency in response. Now China is poised to become the first major economy to issue a digital version of its money, which it intends as a replacement for physical cash.

The first wave of a new class of anti-aging drugs has begun human testing. These drugs wont let you live longer (yet) but aim to treat specific ailments by slowing or reversing a fundamental process of aging.

The drugs are called senolyticsthey work by removing certain cells that accumulate as we age. Known as senescent cells, they can create low-level inflammation that suppresses normal mechanisms of cellular repair and creates a toxic environment for neighboring cells.

The universe of molecules that could be turned into potentially life-saving drugs is mind-boggling in size: researchers estimate the number at around 1060. Thats more than all the atoms in the solar system, offering virtually unlimited chemical possibilitiesif only chemists could find the worthwhile ones.

Now machine-learning tools can explore large databases of existing molecules and their properties, using the information to generate new possibilities. This AI enabled technology could make it faster and cheaper to discover new drug candidates.

Satellites that can beam a broadband connection to internet terminals. As long as these terminals have a clear view of the sky, they can deliver the internet to any nearby devices. SpaceX alone wants to send more than 4.5 times more satellites into orbit this decade than humans have ever launched since Sputnik.

These mega-constellations are feasible because we have learned how to build smaller satellites and launch them more cheaply. During the space shuttle era, launching a satellite into space cost roughly US$24,800 per pound. A small communications satellite that weighed four tons cost nearly $200 million to fly up.

Quantum computers store and process data in a way completely different from the ones were all used to. In theory, they could tackle certain classes of problems that even the most powerful classical supercomputer imaginable would take millennia to solve, like breaking todays cryptographic codes or simulating the precise behavior of molecules to help discover new drugs and materials.

There have been working quantum computers for several years, but its only under certain conditions that they outperform classical ones, and in October Google claimed the first such demonstration of quantum supremacy. A computer with 53 qubitsthe basic unit of quantum computationdid a calculation in a little over three minutes that, by Googles reckoning, would have taken the worlds biggest supercomputer 10,000 years, or 1.5 billion times as long. IBM challenged Googles claim, saying the speedup would be a thousandfold at best; even so, it was a milestone, and each additional qubit will make the computer twice as fast.

AI has a problem: in the quest to build more powerful algorithms, researchers are using ever greater amounts of data and computing power and relying on centralized cloud services. This not only generates alarming amounts of carbon emissions but also limits the speed and privacy of AI applications.

But a countertrend of tiny AI is changing that. Tech giants and academic researchers are working on new algorithms to shrink existing deep-learning models without losing their capabilities. Meanwhile, an emerging generation of specialized AI chips promises to pack more computational power into tighter physical spaces, and train and run AI on far less energy.

In 2020, the US government has a big task: collect data on the countrys 330 million residents while keeping their identities private. The data is released in statistical tables that policymakers and academics analyze when writing legislation or conducting research. By law, the Census Bureau must make sure that it cant lead back to any individuals.

But there are tricks to de-anonymize individuals, especially if the census data is combined with other public statistics.

So the Census Bureau injects inaccuracies, or noise, into the data. It might make some people younger and others older, or label some white people as black and vice versa while keeping the totals of each age or ethnic group the same. The more noise you inject, the harder the de-anonymization becomes.

Differential privacy is a mathematical technique that makes this process rigorous by measuring how much privacy increases when noise is added. The method is already used by Apple and Facebook to collect aggregate data without identifying particular users.

Ten days after Tropical Storm Imelda began flooding neighborhoods across the Houston area last September, a rapid-response research team announced that climate change almost certainly played a role.

The group, World Weather Attribution, had compared high-resolution computer simulations of worlds where climate change did and didnt occur. In the former, the world we live in, the severe storm was as much as 2.6 times more likelyand up to 28% more intense.

Earlier this decade, scientists were reluctant to link any specific event to climate change. But many more extreme-weather attribution studies have been done in the last few years, and rapidly improving tools and techniques have made them more reliable and convincing.

This has been made possible by a combination of advances. For one, the lengthening record of detailed satellite data is helping us understand natural systems. Also, increased computing power means scientists can create higher-resolution simulations and conduct many more virtual experiments.

These and other improvements have allowed scientists to state with increasing statistical certainty that yes, global warming is often fueling more dangerous weather events.

By disentangling the role of climate change from other factors, the studies are telling us what kinds of risks we need to prepare for, including how much flooding to expect and how severe heatwaves will get as global warming becomes worse. If we choose to listen, they can help us understand how to rebuild our cities and infrastructure for a climate-changed world.

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Top 10 Strategic Technology Breakthroughs That Will Transform Our Lives - Analytics Insight