intelligence and machine learning application
Autonomous Outcomes: Shaping the Future Data Environment to Build Trust in Artificial Intelligence and Machine Learning Applications
Humr, Scott A. (Marine Corps University)
Advances in artificial intelligence (AI) and machine learning (ML) are already demonstrating great utility in a variety of domains that point to great opportunities for adoption in a wide variety of military applications. For this reason, data will become the life-blood of many AI and ML enabled technologies. Yet, developing trusted data sets for the purposes of training and testing AI and ML applications will become a central issue to eliciting predictable behaviors of such technology in order to foster trust in autonomous systems. Therefore, the US Department of Defense (DoD) cannot sit idle while AI and ML developments remain forthcoming. Rather, the US military can begin laying the ground work for constructing training data in domain specific ways that will help convergence with AI and ML in the future.
BrainChip Holdings Ltd. Provides Updated Company Overview
ALISO VIEJO, CA--(Marketwired - Feb 17, 2017) - BrainChip Holdings Ltd. ("BrainChip" or the "Company") ( ASX: BRN), a leading developer of software and hardware accelerated solutions for Advanced Artificial Intelligence and Machine Learning applications, is pleased to provide an updated Corporate Presentation. The presentation includes information regarding target markets and applications as well as new product development. The presentation will be used in customer and investor meetings. About BrainChip ( ASX: BRN) BrainChip is a leading provider of software and hardware accelerated solutions for Advanced Artificial Intelligence and Machine Learning applications. The Company's Spiking Neural Adaptive Processor (SNAP) can learn autonomously with a small sample set and provide real-time information, data analytics and knowledge in image and video processing applications, high frequency data streams for financial analysis and event, speech, and speaker recognition from audio sources.