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Early in the testing phase of Apple’s M1 chipset, a milestone new product for the company, the processor was installed in a batch of Mac computers and given to staffers working on applications that demanded heavy processing power. It was a pivotal moment: the first time Apple had made its own chip for any of its computers, shifting away from years of using a one-size-fits-all option from Intel.

After multiple teams tested the devices for a few hours while working on tasks, they reported lightning-fast performance but nearly all flagged an apparent problem. The MacBook Pro’s battery indicator, featured on the upper right hand corner of the computers, was broken. It had barely moved despite running power-hungry programs, the company told CNN Business.

The gag, of course, is that the battery indicator was working just fine. The M1 chip was so efficient, according to Apple, that it showed no real strain — one of several major selling points for products that now carry the chip. (Apple promises 20 hours of battery life for its 13-inch M1 MacBook Pro — what it says is the longest battery in any Mac to date).

The continued growth of wireless and cellular data traffic relies heavily on light waves. Microwave photonics is the field of technology that is dedicated to the distribution and processing of electrical information signals using optical means. Compared with traditional solutions based on electronics alone, microwave photonic systems can handle massive amounts of data. Therefore, microwave photonics has become increasingly important as part of 5G cellular networks and beyond. A primary task of microwave photonics is the realization of narrowband filters: The selection of specific data, at specific frequencies, out of immense volumes that are carried over light.

Many photonic systems are built of discrete, separate components and long optical fiber paths. However, the cost, size, and production volume requirements of advanced networks call for a new generation of microwave photonic systems that are realized on a chip. Integrated microwave photonic filters, particularly in silicon, are highly sought after. There is, however, a fundamental challenge: Narrowband filters require that signals are delayed for comparatively long durations as part of their processing.

“Since the is so fast,” says Prof. Avi Zadok from Bar-Ilan University, Israel, “we run out of chip space before the necessary delays are accommodated. The required delays may reach over 100 nanoseconds. Such delays may appear to be short considering daily experience; however, the optical paths that support them are over ten meters long. We cannot possibly fit such long paths as part of a silicon chip. Even if we could somehow fold over that many meters in a certain layout, the extent of optical power losses to go along with it would be prohibitive.”

Even as a chip shortage is causing trouble for all sorts of industries, the semiconductor field is entering a surprising new era of creativity, from industry giants to innovative start-ups seeing a spike in funding from venture capitalists that traditionally avoided chip makers.


While a variety of industries struggle with supplies, semiconductor experts say there are plenty of new ideas and, most surprising, start-ups.

These clever semiconductors make our internet-connected world go round. In addition to iPhones and PlayStations, they underpin key national infrastructure and sophisticated weaponry.

But recently there haven’t been enough of them to meet demand.

The reasons for the ongoing global chip shortage, which is set to last into 2022 and possibly 2023, are complex and multifaceted. However, nations are planning to pump billions of dollars into semiconductors over the coming years as part of an effort to sure up supply chains and become more self-reliant, with money going toward new chip plants, as well as research and development.

Researchers with the BrainGate Collaboration have deciphered the brain activity associated with handwriting: working with a 65-year-old (at the time of the study) participant with paralysis who has sensors implanted in his brain, they used an algorithm to identify letters as he attempted to write them; then, the system displayed the text on a screen; by attempting handwriting, the participant typed 90 characters per minute — more than double the previous record for typing with a brain-computer interface.

So far, a major focus of brain-computer interface research has been on restoring gross motor skills, such as reaching and grasping or point-and-click typing with a computer cursor.

It’s bad out there for customers of electronic parts and components. The semiconductor shortage is so severe it’s being covered by mainstream media; meanwhile, various politicians have tasked their aides with looking at the global supply chain. Indeed, in the short term, the dearth of chips is already leading to product delays, companies redesigning their parts, and higher device prices. But over the long term, it could usher in a complete rethink of the way electronics parts are designed.

Peggy Carrieres, VP of global sales development and supplier enablement at Avnet, told me she expects the shortage to contribute to engineers reducing the number of physical components used and turning instead to software to handle functions that had historically been done in hardware. The shortages tied to the pandemic are an accelerator for this shift, but it has been happening for years as the industry adjusts to the end of Moore’s Law and the ability to eke out more performance at lower costs.

I had reached out to Avnet because I was interested in what it was seeing from its customers as the chip shortage dragged on. Avnet is a distributor, so it acts as a middleman between electronics components suppliers and the end customers of those parts. Someone building a new electronic device could work with Avnet to source the parts from an existing design, for example, or to build a design out of available parts that fit within a specific price.

Organic transistors that can simulate basic synaptic functions and act as biomimetic devices are advantageous for next generation bioelectronics. Here, the authors realize non-volatile organic electrochemical transistors with optimized performance required for associative learning circuits.

A new way to form self-aligned ‘color centers’ promises scalability to over 10000 qubits for applications in quantum sensing and quantum computing.

Achieving the immense promise of quantum computing requires new developments at every level, including the computing hardware itself. A Lawrence Berkeley National Laboratory (Berkeley Lab)-led international team of researchers has discovered a way to use ion beams to create long strings of “color center” qubits in diamond. Their work is detailed in the journal Applied Physics Letters.

The authors includes several from Berkeley Lab: Arun Persaud, who led the study, and Thomas Schenkel, head of the Accelerator Technology and Applied Physics (ATAP) Division’s Fusion Science & Ion Beam Technology Program, as well as Casey Christian (now with Berkeley Lab’s Physics Division), Edward Barnard of Berkeley Lab’s Molecular Foundry, and ATAP affiliate Russell E. Lake.