Will Markets For ML Models Materialize?


Developers are spending increasing amounts of time and effort in creating machine-learning (ML) models for use in a wide variety of applications. While this will continue as the market matures, at some point some of these efforts might be seen as reinventing models over and over. Will developers of successful models ever have a marketplace in which they can sell those models as IP to other d... » read more

Startup Funding: November 2021


There's nothing virtual about the level of interest in AR/VR startups. As the concept of the 'metaverse' becomes more widespread with Nvidia's recent GTC announcements and Facebook's rebranding, investors poured money into startups with enabling technology for augmented, virtual, and extended reality. Most of those are developing waveguides and other display technology that is light enough to b... » read more

Gaps In The AI Debug Process


When an AI algorithm is deployed in the field and gives an unexpected result, it's often not clear whether that result is correct. So what happened? Was it wrong? And if so, what caused the error? These are often not simple questions to answer. Moreover, as with all verification problems, the only way to get to the root cause is to break the problem down into manageable pieces. The semico... » read more

A graph placement methodology for fast chip design


Abstract "Chip floorplanning is the engineering task of designing the physical layout of a computer chip. Despite five decades of research1, chip floorplanning has defied automation, requiring months of intense effort by physical design engineers to produce manufacturable layouts. Here we present a deep reinforcement learning approach to chip floorplanning. In under six hours, our method autom... » read more

Improving Medical Image Processing With AI


Machine learning is being integrated with medical image processing, one of the most useful technologies for medical diagnosis and surgery, greatly expanding the amount of useful information that can be gleaned from scan or MRI. For the most part, ML is being used to augment manual processes that medical personnel use today. While the goal is to automate many of these functions, it's not clea... » read more

Easier And Faster Ways To Train AI


Training an AI model takes an extraordinary amount of effort and data. Leveraging existing training can save time and money, accelerating the release of new products that use the model. But there are a few ways this can be done, most notably through transfer and incremental learning, and each of them has its applications and tradeoffs. Transfer learning and incremental learning both take pre... » read more

Reviving The IPO Route For IP Companies


K. Charles Janac, chairman and CEO of Arteris IP, sat down with Semiconductor Engineering to talk about the company's recent decision to go public, including the benefits and risks of operating as a public IP company. SE: The rule of thumb used to be $20 million in revenue was needed for an IP company to do an IPO at the turn of the Millennium, and then it increased to $40 million about a de... » read more

Security Risks Grow With 5G


5G mobile phones can download a movie in seconds rather than minutes, but whether that can be done securely remains to be seen. What is clear from technology providers, though, is they are taking security very seriously with this new wireless technology. More data is in motion, and the value of that data is growing as users rely on mobile devices for everything from banking to automotive saf... » read more

System-In-Package Thrives In The Shadows


IC packaging continues to play a big role in the development of new electronic products, particularly with system-in-package (SiP), a successful approach that continues to gain momentum — but mostly under the radar because it adds a competitive edge. With a SiP, several chips and other components are integrated into a package, enabling it to function as an electronic system or sub-system. ... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive Intel’s Mobileye and Sixt SE said they are collaborating on an autonomous ride-hailing services in Munich in 2022. Mobileye will own the robotaxi fleet. Mobileye also recently unveiled its electric autonomous vehicle (AV), which it will use in ridehailing in Munich and Tel Aviv.. To increase the supply of automotive chips, Intel said it will build new chip manufacturing facilit... » read more

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