Neo-modularsystems: Architectural Principles for Cognitive Robotics

AAAI Conferences

Modular-functional decomposition is a fundamental tenet of Computer Science. Cognitive Robotics, with strong roots in Cognitive Science and Biology, replaces modularfunctional decomposition with a more opportunistic approach. Nonetheless, we can extract heuristics with both analytic and synthetic power: architectural principles for neo-modular systems. This paper describes three neo-modular principles: Imagination, Shared Grounding, and Incremental Adaptation. It includes examples of each drawn from existing systems, and concludes with an illustration of these three principles used in concert to build a system which progresses first to hand-eye coordination, then to planned complex reaching, and finally to shared attention.


Despite the hype, nobody is beating Nvidia in AI

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You have to wonder whether Nvidia is going to get sick of winning all the time. The company's stock price is up to $178--69% more than this time last year. Nvidia is riding high on its core technology, the graphics processing unit used in the machine-learning that powers the algorithms of Facebook and Google; partnerships with nearly every company keen on building self-driving cars; and freshly announced hardware deals with three of China's biggest internet companies. Investors say this isn't even the top for Nvidia: William Stein at SunTrust Robinson Humphrey predicts Nvidia's revenue from selling server-grade GPUs to internet companies, which doubled last year, will continue to increase 61% annually until 2020. Nvidia will likely see competition in the near future.


The Winds Are Changing In Servers -- AI Leads To Opportunity for IBM & Power

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There has never been a single processor architecture for server applications because no two workloads are the same. However, for the past decade, Intel has all but dominated the server market, shutting out AMD, the only other x86 server vendor, and leaving only HPC, mainframe, database and other specialized applications for other processor architectures. With the industry facing challenges due to a growing list of security vulnerabilities from defective speculative execution implementations, changing workload requirements, slowing of Moore's Law, and innovative new processor architectures, server OEMs and customers are all looking at making changes. Many of the new processor vendors are focusing on specific segments to target. IBM appears the best positioned to benefit from the tremendous interest in AI.


Sr. Staff Engineer of AI Robotics @ Huawei Technologies USA Inc.

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Futurewei Technologies Inc. (DBA Huawei R&D) is a leading global information and communications technology solutions provider. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population. Futurewei has over 150,000 employees, approximately 70,000 of which are engaged in Research & development.


Principal Architect of AI Robotics/siliconarmada.com

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Futurewei Technologies Inc. (DBA Huawei R&D) is a leading global information and communications technology solutions provider. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population. Futurewei has over 150,000 employees, approximately 70,000 of which are engaged in Research & development.