Month: October 2020
How the Army plans to revolutionize tanks with artificial intelligence – C4ISRNet
Even as the U.S. Army attempts to integrate cutting edge technologies into its operations, many of its platforms remain fundamentally in the 20th century. Take tanks, for example. The way tank crews operate their machine has gone essentially unchanged over the last 40 years. At a time when the military is obsessed with robotics, artificial…
How Kubernetes extends to machine learning (ML) – Information Age
This article explores the ways in which Kubernetes enhances the use of machine learning (ML) within the enterprise Could Kubernetes be worth considering to bolster your machine learning strategies? Machine learning (ML) is becoming a commonly implemented tool for easing the workloads of employees within various areas, from cyber security to customer service. However, this…
Artificial intelligence in IoT sees gains, but talent’s a hurdle – Urgent Comms – Urgent Communications
Artificial intelligence is a vital component of digital transformation initiatives as the volume of data that organizations gather continues to swell. A total of 69% of survey respondents to the 2020 IoT Adoption Survey reported using artificial intelligence (AI)/machine learning (ML) as part of IoT initiatives. Top AI priorities include performance monitoring and trend forecasting…
Regulating AI: EU proposes legal framework for Artificial Intelligence – Lexology
European Parliament publishes its proposals for new AI laws. The EU has published proposals on the regulation of artificial intelligence, which look to ensure a balance is struck between protecting consumers, and encouraging technological development. These include a resolution in relation to IP issues, an ethics framework for development, and liability rules setting fines of…
How Kubernetes extends to machine learning (ML)
This article explores the ways in which Kubernetes enhances the use of machine learning (ML) within the enterprise Could Kubernetes be worth considering to bolster your machine learning strategies? Machine learning (ML) is becoming a commonly implemented tool for easing the workloads of employees within various areas, from cyber security to customer service. However, this…
Artificial intelligence-based algorithm for the early diagnosis of Alzheimer’s
Alzheimer’s disease (AD) is a neurodegenerative disorder that affects a significant proportion of the older population worldwide. It causes irreparable damage to the brain and severely impairs the quality of life in patients. Unfortunately, AD cannot be cured, but early detection can allow medication to manage symptoms and slow the progression of the disease. Functional…
New study shows trust levels in artificial intelligence predicted, boosted by people’s relationship style – KU Today
LAWRENCE — How likely you are to trust a self-driving car or advice from Siri? A University of Kansas interdisciplinary team led by relationship psychologist Omri Gillath has published a new paper in the journal Computers in Human Behavior showing people’s trust in artificial intelligence (AI) is tied to their relationship or attachment style. The…
[TechSparks 2020] Apple AI/ML engineer on how aspiring techies can find their way to next-gen technologies – YourStory
“Anyone who can match up with the changing curves in technology can expect success in any space, and so as in machine learning,” Aaksha Meghawat, an AI/ML engineer at Apple, told YourStory Founder and CEO Shradha Sharma in a virtual fireside chat at YourStory’s flagship event TechSparks 2020. At Apple, Aaksha works on NPL technology….
New artificial intelligence feature to detect guns through surveillance video, alerting security guards – WLS-TV
Security cameras have become valuable tools to identify threats of violence. There’s a new development Wednesday that adds artificial intelligence that can detect guns in security video.The new dimension of artificial intelligence, or AI, has the potential to prevent a mass casualty event. RELATED: CA gun sales up amid COVID-19 pandemic fears, study finds”We needed…
Machine Learning for Future System Designs – The Next Platform
As an engineering director leading research projects into the application of machine learning (ML) and deep learning (DL) to computational software for electronic design automation (EDA), I believe I have a unique perspective on the future of the electronic and electronic design industries. The next leap in design productivity for semiconductor chips and the systems…