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Understanding this breakthrough requires a fair amount of background. Most readers will know that a quantum advantage is when a quantum computer answers a problem with a dramatically better runtime than a classical computer and that verifiability means it is easy to check that the answer is correct. The structure that is mentioned in the title […]

The recent attacks against critical infrastructures have led to new approaches to security solutions, such as Consequence-driven Cyber-informed Engineering. Consequence-driven Cyber-informed Engineering, or CCE, is an approach for safeguarding critical infrastructure systems. To put it briefly, CCE is about imagining the worst possible outcome of a cyber threat perpetrator, and then building a non-cyber or

Stanford University researchers have developed a key experimental device for future quantum physics-based technologies that borrows a page from current, everyday mechanical devices. Reliable, compact, durable, and efficient, acoustic devices harness mechanical motion to perform useful tasks. A prime example of such a device is the mechanical oscillator. When displaced by a force – like

NTT Research, Inc., a division of NTT, appointed Dr. Al Emondi as its head of partner strategy. Emondi joined NTT Research in March 2022 on a contract basis as part of its leadership advisory team. He is also president and chief executive officer of Piontier, LLC, a technology development and neurotech product line consultancy. https://www.enterpriseai.news/2022/05/10/ai-career-notes-may-2022-edition/

Stanford University researchers have developed a key experimental device for future quantum physics-based technologies that borrows a page from current, everyday mechanical devices. Reliable, compact, durable, and efficient, acoustic devices harness mechanical motion to perform useful tasks. A prime example of such a device is the mechanical oscillator. When displaced by a force – like

Inside a soundproofed crate sits one of the world’s worst neural networks. After being presented with an image of the number 6, it pauses for a moment before identifying the digit: zero. Peter McMahon, the physicist-engineer at Cornell University who led the development of the network, defends it with a sheepish smile, pointing out that the

The artificial intelligence (AI) market is growing fast. One powerful subset of AI is machine learning (ML), which involves not predefined instructions and fixed algorithms but learned patterns over artificial neural networks. Developers have used ML to solve mission-critical problems with high speed and accuracy in a wide range of domains, including agriculture, e-commerce, education,

Stanford University researchers have developed a key experimental device for future quantum physics-based technologies that borrows a page from current, everyday mechanical devices. Reliable, compact, durable, and efficient, acoustic devices harness mechanical motion to perform useful tasks. A prime example of such a device is the mechanical oscillator. When displaced by a force – like

In 1994, a mathematician figured out how to make a quantum computer do something that no ordinary classical computer could. The work revealed that, in principle, a machine based on the rules of quantum mechanics could efficiently break a large number into its prime factors — a task so difficult for a classical computer that

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details. Check in each month for an updated list and you may even come across someone you know, or better yet,

Agencies should test post-quantum cryptography algorithms with their software and decide whether information security benefits outweigh the efficiency losses ahead of a federally mandated transition, according to security experts. Experimenting with the National Institute of Standards and Technology’s candidate algorithms, some of which will be standardized, will help agencies understand their impacts on system performance and behavior

Activity of an innervated tissue can be modulated based on an acquired biomarker through feedback loops. How to convert this biomarker into a meaningful stimulation pattern is still a topic of intensive research. In this article, we present a simple closed-loop mechanism to control the mean angle of a locust’s leg in real time by