High bandwidth memory gained some momentum last week as Samsung Electronics announced it started mass production of its second-generation technology, dubbed Aquabolt. Designed for use with next-gen supercomputers, artificial intelligence (AI) and graphics systems, Tien Shiah, product marketing manager for High Bandwidth Memory at Samsung, said the 8 GB High Bandwidth Memory-2 (HBM2) offers the highest DRAM performance levels and the fastest data transmission rates available today with a 2.4 gigabits-per-second (Gbps) data transfer speed per pin at 1.2V. That's nearly a 50 percent performance improvement per package, he said, compared with Samsung's previous generation HBM2 package, Flarebolt, with its 1.6Gbps pin speed at 1.2V and 2.0Gbps at 1.35V. In a telephone interview with EE Times from CES, Shiah said a single Aquabolt package will offer a 307GBps data bandwidth, achieving 9.6 times faster data transmission than an 8Gb GDDR5 chip, which provides a 32GBps data bandwidth. This means using four packages in a system will enable a 1.2 terabytes-per-second (TBps) bandwidth, he said, hence the overall system performance by as much as 50 percent.
It seems like every vendor in the data security industry makes predictions this time of year. Which ones should you pay attention to? All of them, says Dan Lohrmann, who formerly served as the state of Michigan's CISO and CTO. See Also: IoT is Happening Now: Are You Prepared? "I really view it as something that professionals need to widen their perspectives," Lohrmann says in an interview with Information Security Media Group.
This interview is part of our series of . We interviewed the founders and CEOs of 20 of the fastest growing startups in Europe. We asked them about their companies, their companies' culture, and their lives, trying to understand how these three factors played a role in the achievement of such impressive growth. If you want to know where to launch your next business venture, keep reading -- Spanish startup can help you out. Founded in 2015, the company is already leading the field of location intelligence.
It seems like every vendor in the data security industry makes predictions this time of year. Which ones should you pay attention to? All of them, says Dan Lohrmann, who formerly served as the state of Michigan's CISO and CTO. See Also: Addressing the Identity Risk Factor in the Age of'Need It Now' "I really view it as something that professionals need to widen their perspectives," Lohrmann says in an interview with Information Security Media Group. "Know what your competitors are saying.
LinkedIn's new report surveyed 8,800 recruiters and hiring managers on how these trends would impact hiring in 2018. Those polled indicated that AI is gaining steam because it's a timesaver (67%), removes human bias (43%), and delivers the best candidate matches (31%). More than half of survey respondents also found AI to be most effective for sourcing candidates (58%), screening (56%), and nurturing candidates (55%). Case studies outlined in the report show how companies like U.K.-based Vodaphone are tapping that power for interviewing over 50,000 candidates for its call center and customer service roles, which start with video interviews. Once candidates record themselves answering standardized questions, "robots (aka computers programmed with advanced algorithms) analyze the interviews" across 15,000 different factors including body language and facial cues to vocal tone.
The idea of artificial intelligence can be a bit scary. It may conjure up thoughts of science fiction stories, robots and futuristic gadgets. But the future is here, and artificial intelligence is already being used by many sales organizations - and making a huge impact. Artificial intelligence is the next great technological revolution, and sales professionals shouldn't hide from it; they must embrace it. In an interview with Reply, Mark Hunter of The Sales Hunter says, "Just as the telephone a century ago changed business, and the personal computer and the internet have done so more recently, we don't need to think AI is the end all."
After getting his bachelor and master degrees in Tsinghua University in 1995 and 1998, Steve Deng went to Carnegie Mellon University in 2006 to pursue his Ph.D in Computer Science. Before he got his Doctor degree, Steve Deng had already been hired as a counseling engineer in American Incentia Design Automation company. In January 2006, Steve Deng joined American Magma Design Automation company and became a counseling researcher. In March 2008, he came back to China acting as the assistant professor in the Institute of Microelectronics of Tsinghua University. Steve Deng's major research direction is Al, the automation of electrical design, parallel algorithm and image processing machine structure.
From lurking on the thread, it seems like people are interested in getting hired as ML engineer or data scientist. However, it seems like there's more than one path to become one. I imagine lots of people have unique stories different backgrounds, and I was curious about hearing some. How did you end up working at your company/university? Are most of us here working at big companies, small companies, freelancers, consultants, grad students, researchers, or something else?
We are at the dawn of the AI-first age of computing, says Google's Simon Balfe. Simon Balfe is agency development manager at Google Marketing Solutions in Dublin. We caught up with him at the recent Virgin Media Digital Evolution conference at the Titanic Belfast centre. "Mobile has become more important based on searches and we can now see, based on the data that we have, that machine learning is the next big shift, and we are trying to get that message across to people and help them along," he said.