Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on computing devices at the periphery of a network, rather than on large cloud servers.
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machine learning
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Similar to visual data, collecting and curating sound data that accurately reflects real-world scenarios is a major hurdle in training effective machine learning models.
2 minutes read
‘Industry 4.0’—the next stage of the Industrial Revolution—leans heavily on the Industrial Internet of Things (IIoT) to support large scale automation of traditional manufacturing practices.
4 minutes read
For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks — especially compared to how long it takes to collect real-world training data.
MIT CSAIL researchers developed an AI-driven approach to “low-discrepancy sampling,” a method that improves simulation accuracy by distributing data points more uniformly across space.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
Beyond 5G (5th generation and later mobile communications system: hereinafter “B5G”) / 6G (6th generation mobile communications system) is expected to be applied and spread in popularity as a new form of information communications infrastructure from the 2030s.
5 minutes read
To achieve greater efficiency, robots must develop more human-like skills, such as fast physical interaction. That was the focus of the I.AM project.
4 minutes read
Curious about how AI predicts trends or creates new content? In this piece, we dive into Predictive AI vs. Generative AI, exploring their core differences and real-world impact. Discover how these technologies shape everything from recommendations to creativity.
In this episode, we chat with Karsten Roscher - a renowned AI expert at the Fraunhofer Institute for Cognitive Systems IKS - about the importance of safety in AI products, the current challenges facing experts, and what the future holds.
Researchers have found that AI large language models, like GPT-4, are better at predicting what comes next than what came before in a sentence. This “Arrow of Time” effect could reshape our understanding of the structure of natural language, and the way these models understand it.
3 minutes read
Unleashing the Power of GPU, understanding the essential strategies for efficient Deep Learning Model Training without compromising on memory and hardware resources in Graphical Processing Units
In this blog, we discuss how smart door technology is bringing peace of mind to the front door and more with a superior level of security.
In this episode, we explore how Robuscope is reimagining the future of AI testing, offering groundbreaking solutions for improving the accuracy and reliability of artificial intelligence systems.
12 minutes read
Manufacturing Futures Institute leaders, researchers, and partners draw national conference to Pittsburgh.
2 minutes read
