TechInsights tears down hundreds of advanced technology devices every year. We monitor emerging technology trends, analyze devices and report our findings, and we assist IP teams, lawyers, product managers, engineers, and more by providing them with factual, technical data and analysis about advanced technology products.
And all of that requires the coordinated efforts of a large, very talented, dedicated team of patent and technology experts.
We asked our team what they thought were the most interesting developments in their respective fields in 2017. Here are some of their answers:
2017 saw Artificial Intelligence (AI) technology being applied in increasingly useful ways in different areas of technology. Some examples:
I have noticed a big ramp up in attention towards hardware security, specifically around unwanted circuitry and additional functionality embedded in integrated circuits manufactured in Asia. The need for the ability to reverse engineer ICs made off-shore so that you can detect and identify Trojans within the hardware is now centre stage.
This year the US Intelligence community (Office of the Director of National Intelligence) kicked off a research initiative worth 10’s of millions of dollars to develop technology for quickly reverse-engineering ICs.
Conferences such as the International Symposium for Testing and Failure Analysis (ISTFA) have always been interested in reverse engineering but as a background activity and geared towards failure analysis- 2017 saw it become a legitimate technical stream in its own right (Hardware Attacks, Security and Reverse Engineering).
Even IC companies are concerned- many use 3rd party ‘IP cores’ (licensed chip functionality that whey will include in their IC) but they are not really sure if the design they are including in their chip is secure. I’ve talked with people working in the security divisions at large IC companies and they are struggling with this growing concern.
I think that it’s worth commenting that the motherboard in the iPhone X is VERY different, as indicated in a cross-section of the assembly.
(The motherboard in the iPhone X moved away from the traditional L-shape to a stacked architecture)
There is still significant interest around the IP play in IoT and Automotive but, pragmatically speaking, the market realization hasn’t happened at the originally-expected pace, and there is still a significant “wait and see” aspect as to how it’s going to play out.
Different costing approaches to flagship phones were a key area of interest in 2017.
The table below provides our costing analysis comparison on the iPhone X, iPhone 8, Samsung Galaxy S8, and Huawei Mate 10.
The Apple iPhone 8 and Huawei Mate 10 have very similar costing models, with margins of 59.3% and 59.2%, respectively. The costs of goods sold (COGS) of the iPhone X and the Galaxy S8 are within $70 of each other, but at $999 and $725, respectively, they are significantly farther apart on sticker price. The result is a 5.5% difference in margin between the two.
2017 may be remembered as the year that camera and sensing systems became the undisputed kings of differentiation across smartphone platforms…
…As we end 2017 we are happy to announce we have found 0.9 µm generation pixels in mass production!...
Chip Stacking for Image Sensors
Chip stacking (image sensor + image signal processor) for image sensors remains an enabling technology for improved camera performance, and this year we documented Sony’s first-generation TSV-based three die stack (now adding a DRAM) in mass production…
Improved Near Infrared Sensitivity
Moving outside of traditional array imaging, another trend we’ve tracked in 2017 is the continued emergence of cameras with improved near infrared (NIR) sensitivity…
There is, of course, much more happening in the imaging sector than can be conveyed in this summary. We have seen high quality imaging-related papers from IISW, IEDM, ISSCC, and other conferences, so it’s a good indication of continued development of disruptive imaging/sensing platforms. We’ll be tracking these announced and stealth mode technologies expected in 2018 product launches.
You can read Ray’s full post about Noteworthy Developments in Image Sensor Technology in 2017 here.
Of course, we would be remiss if we didn’t mention the technological innovations that we, as a company, focused on in 2017.
Some of our larger analysis projects, and projects that garnered the most interest, focused on the following technologies:
Samsung 18 nm DRAM
Intel/Micron 64L 3D NAND
TSMC 10 nm Process
Intel 3D XPoint
Sony IMX400 3-Layer Stacked (Exmor RS) CMOS Image Sensor
Samsung 10 nm LPE Process
Samsung’s Read Retry for 3D NAND
Clearly, TechInsights found 2017 to be a very interesting year. Let’s see what 2018 brings!
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