Re-Engineering Humanity


The technology industry is comfortable with trends that increase linearly for decades—and many that follow quadratic curves, also seemingly forever. Moore's Law and the rate of adoption of new technologies are two examples that come to mind. Those same trends can be used to scare or even create panic amongst a less informed general public. Such is the case with Artificial Intelligence (AI)... » read more

The Great Chip Shakeup


Facebook, Alibaba, Google, Apple and Samsung are all designing their own chips. So are Cisco and Huawei. So what exactly does this mean for big chipmakers and the semiconductor ecosystem? While your first impulse might be to draw a straight line between Qualcomm's decision to cut 1,500 jobs and reports about giant systems companies developing chips in-house, it's not clear there is any corre... » read more

Deep Learning And The Future


Following up from my last post on our deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation,” I’d like to take a glimpse into the future. Like many such discussions, it’s often useful to take a look back first to try and make sense out of what is to come.  That’s essentlially what our keynote speaker, Ty Garibay, did at the event. Ty is the CTO... » read more

New Market Drivers


Semiconductor Engineering sat down to discuss changing market dynamics with Steve Mensor, vice president of marketing for [getentity id="22926" e_name="Achronix"]; Apurva Kalia, vice president of R&D in the System and Verification group of [getentity id="22032" e_name="Cadence"]; Mohammed Kassem, CTO for [getentity id="22910" comment="efabless"]; Matthew Ballance, product engineer and techn... » read more

AI Accelerating Discovery


In early April 2018, the Materials Research Society held their spring meeting and exhibit at the Phoenix, Arizona convention center. With more than 110 symposium presentations, it was difficult to select which sessions to attend. But one forum caught my eye, “AI for Materials Development”. These days AI seems to be everywhere. As we all speculate about the impact of AI on autonomous driv... » read more

Tech Tackles Health Care


Can technology make humans healthier? If technology investments in this market are any indication, the answer is a firm “yes.” Massive growth in this market has been predicted for years. In fact, it was the initial driver behind many of the initial IoT devices, which fizzled largely because of insufficiently developed end applications and poor battery life of wearable devices. Much has c... » read more

Designing 5G Chips


5G is the wireless technology of the future, and it’s coming fast. The technology boasts very high-speed data transfer rates, much lower latency than 4G LTE, and the ability to handle significantly higher densities of devices per cell site. In short, it is the best technology for the massive amount of data that will be generated by sensors in cars, IoT devices, and a growing list of next-g... » read more

The Week in Review: IoT


Finance Palo Alto, Calif.-based Armis raised $30 million in Series B funding, bringing total funding for the provider of enterprise Internet of Things security to $47 million. Red Dot Capital Partners of Israel led the round, joined by Bain Capital Ventures. Existing investors Sequoia Capital and Tenaya Capital also participated in the latest funding, which Armis will use to expand sales and m... » read more

Architecture, Materials And Software


AI, machine learning and autonomous vehicles will require massive improvements in performance, at the same power consumption level (or better), over today's chips. But it's obvious that the usual approach of shrinking features to improve power/performance isn't going to be sufficient. Scaling will certainly help, particularly on the logic side. More transistors are needed to process a huge i... » read more

AI Signals A New Change Of Perspective


A very long time ago, I was a student at MIT, programming with card decks in APL on IBM mainframes and studying AI in a class from Patrick Winston (who took over MIT’s AI lab from the legendary Marvin Minsky). I kept the text book as a reminder of where the world would go. Over four titanic shifts, mainframes/card decks became VAX/VT100, thence to IBM PCs and PC clients tied by Ethernet to co... » read more

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