tag: IBM

Exponentials At The Edge
By Ed Sperling - 08 Mar, 2018 - Comments: 0

The age of portable communication has set off a scramble for devices that can achieve almost anything a desktop computer could handle even five years ago. But this is just the beginning. The big breakthrough with mobile devices was the ability to combine voice calls, text and eventually e-mail, providing the rudiments of a mobile office-all on a single charge of a battery that was light enou... » read more

RISC-V Gains Its Footing
By Ann Mutschler - 26 Feb, 2018 - Comments: 3

The RISC-V instruction-set architecture, which started as a UC Berkeley project to improve energy efficiency, is gaining steam across the industry. The RISC-V Foundation's member roster gives an indication who is behind this effort. Members include Google, Nvidia, Qualcomm, Rambus, Samsung, NXP, Micron, IBM, GlobalFoundries, UltraSoC, Siemens, among many others. One of the key markets for... » read more

What’s Next In Neuromorphic Computing
By Katherine Derbyshire - 15 Feb, 2018 - Comments: 2

To integrate devices into functioning systems, it's necessary to consider what those systems are actually supposed to do. Regardless of the application, [getkc id="305" kc_name="machine learning"] tasks involve a training phase and an inference phase. In the training phase, the system is presented with a large dataset and learns how to "correctly" analyze it. In supervised learning, the data... » read more

Chip Aging Accelerates
By Ed Sperling - 14 Feb, 2018 - Comments: 1

Reliability is becoming an increasingly important proof point for new chips as they are rolled out in new markets such as automotive, cloud computing and industrial IoT, but actually proving that a chip will function as expected over time is becoming much more difficult. In the past, reliability generally was considered a foundry issue. Chips developed for computers and phones were designed ... » read more

The Week in Review: IoT
By Jeff Dorsch - 02 Feb, 2018 - Comments: 0

Finance San Francisco-based Aquabyte has raised $3.5 million in seed funding led by Costanoa Ventures and New Enterprise Associates. Princeton University and strategic investors in the U.S. and Norway also participated in the round. The startup is using computer vision and machine learning to optimize efficiency in fish farming. Aquabyte is first deploying its technology in Norway in cooperati... » read more

Manufacturing Bits: Jan. 30
By Mark LaPedus - 30 Jan, 2018 - Comments: 0

SRC’s new R&D centers The Semiconductor Research Corp. has launched a network of research centers within its recently-announced Joint University Microelectronics Program (JUMP). SRC officially launched the 5-year, $200 million program on Jan. 1. With various research centers, the mission of JUMP is to lay the groundwork that extends the viability of Moore’s Law through 2040. The idea is... » read more

The Week In Review: Design
By Jesse Allen - 26 Jan, 2018 - Comments: 0

Security Addressing the Meltdown and Spectre speculative execution vulnerabilities has not gone smoothly. Intel's firmware update caused unexpected behavior and a higher than expected number of reboots for its Haswell and Broadwell chips, leading the company to recommend users stop patching until an updated version of the patch is available. Microsoft's attempts to fix the issue left some W... » read more

The Advantages Of FD-SOI Technology
By Michael Hargrove - 18 Jan, 2018 - Comments: 0

If my memory serves me well, it was at the 1989 Device Research Conference where the potential merits of SOI (Silicon on Insulator) technology were discussed in a heated evening panel discussion. At that panel discussion, there were many advocates for SOI, as well as many naysayers. I didn’t really think more about SOI technology until the mid-nineties, when I was sitting in a meeting where t... » read more

Turning Down The Power
By Jeff Dorsch - 11 Jan, 2018 - Comments: 0

Chip and system designers are giving greater weight to power issues these days. But will they inevitably hit a wall in accounting for ultra-low-power considerations? Performance, power, and area are the traditional attributes in chip design. Area was originally the main priority, with feature sizes constantly shrinking according to Moore's Law. Performance was in the saddle for many years. M... » read more

The Future Of AI Is In Materials
By Sundeep Bajikar - 09 Jan, 2018 - Comments: 0

I had the pleasure of hosting an eye-opening presentation and Q&A with Dr. Jeff Welser of IBM at a recent Applied Materials technical event in San Francisco. Dr. Welser is Vice President and Director of IBM Research's Almaden lab in San Jose. He made the case that the future of hardware is AI. At Applied Materials we believe that advanced materials engineering holds the keys to unlocking... » read more

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