IBM Takes AI In Different Directions


Jeff Welser, vice president and lab director at IBM Research Almaden, sat down with Semiconductor Engineering to discuss what's changing in artificial intelligence and what challenges still remain. What follows are excerpts of that conversation. SE: What's changing in AI and why? Welser: The most interesting thing in AI right now is that we've moved from narrow AI, where we've proven you... » read more

Integrating Memristors For Neuromorphic Computing


Much of the current research on neuromorphic computing focuses on the use of non-volatile memory arrays as a compute-in-memory component for artificial neural networks (ANNs). By using Ohm’s Law to apply stored weights to incoming signals, and Kirchoff’s Laws to sum up the results, memristor arrays can accelerate the many multiply-accumulate steps in ANN algorithms. ANNs are being dep... » read more

Designing Hardware For Security


By Ed Sperling and Kevin Fogarty Cyber criminals are beginning to target weaknesses in hardware to take control of devices, rather than using the hardware as a stepping stone to access to the software. This shift underscores a significant increase in the sophistication of the attackers, as evidenced by the discovery of Spectre and Meltdown by Google Project Zero in 2017 (made public in Ja... » read more

Challenges At The Edge


By Kevin Fogarty and Ed Sperling Edge computing is inching toward the mainstream as the tech industry begins grappling with the fact that far too much data will be generated by sensors to send everything back to the cloud for processing. The initial idea behind the IoT/IIoT, as well as other connected devices, was that simple sensors would relay raw data to the cloud for processing throug... » read more

The Week in Review: IoT


Cybersecurity Cybersecurity concerns continued to generate news this week. Symantec reported a corporate espionage hacking campaign against manufacturers of medical supplies, dubbing the efforts “Orangeworm.” The hackers have attacked 24 or more targets this year, and almost 100 since 2015, according to the security software and services firm. Meanwhile, the House Energy and Commerce Co... » 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

More Lithography/Mask Challenges (Part 2)


Semiconductor Engineering sat down to discuss lithography and photomask technologies with Gregory McIntyre, director of the Advanced Patterning Department at [getentity id="22217" e_name="Imec"]; Harry Levinson, senior fellow and senior director of technology research at [getentity id="22819" comment="GlobalFoundries"]; Regina Freed, managing director of patterning technology at [getentity id="... » read more

The Week in Review: IoT


Investment Microsoft this week said it will spend $5 billion over four years on Internet of Things programs in research, development, and partner enablement. The company previously spent $1.5 billion on developing IoT technology. The move could pay dividends for the Microsoft Azure cloud platform and lead to wider use of Azure Stack, which pairs Microsoft software with hardware from approved p... » read more

What Happened To Nanoimprint Litho?


Nanoimprint lithography (NIL) is re-emerging amid an explosion of new applications in the market. Canon, EV Group, Nanonex, Suss and others continue to develop and ship NIL systems for a range of markets. NIL is different than conventional lithography and resembles a stamping process. Initially, a lithographic system forms a pattern on a template based on a pre-defined design. Then, a separa... » read more

When AI Goes Awry


The race is on to develop intelligent systems that can drive cars, diagnose and treat complex medical conditions, and even train other machines. The problem is that no one is quite sure how to diagnose latent or less-obvious flaws in these systems—or better yet, to prevent them from occurring in the first place. While machines can do some things very well, it's still up to humans to devise... » read more

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