Intel Selects Habana Technology to Drive AI Accelerator Roadmap

This inaugural, two-day AI Hardware summit held in Mountain View, California, at the Computer History Museum, brought together researchers, vendors, and users to explore the development of the AI ecosystem from a hardware perspective. Large companies, startups, and analysts joined to hear over 30 speakers and roundtables. Although the overall theme was all AI hardware, many of the presentations focused on AI processors and the work that is being done to design hardware to further the development of the evolving and growing field of AI, machine learning, and deep learning.

IBM's recent announcement of their new Q System One universal quantum computer is yet another milestone in the firm's long-term commitment to transitioning quantum computing (QC) hardware from one-off research status into a capable commercial offering. Although the new Q System One, as announced, does not demonstrate any significant advances in current quantum computing capability, as measured by the number of qubits per system, it does show that IBM can design and manufacture a system that, at the right price, could be attractive to a wide range of users looking to integrate quantum computing into their overall R&D process.