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Researchers develop a new method that uses multiple models to create more complex images with better understanding.
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The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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Interdisciplinary team builds multi-task machine learning model for randomized controlled trial
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A car rental company uses the Photoneo 3D camera MotionCam-3D to inspect and identify defects on rental cars.
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
TPU vs GPU: A Comprehensive Technical Comparison
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TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
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TAGGED WITH machine learning
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
TAGGED WITH computer vision
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
Latest Posts
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Interdisciplinary team builds multi-task machine learning model for randomized controlled trial
A car rental company uses the Photoneo 3D camera MotionCam-3D to inspect and identify defects on rental cars.
2 minutes read
In this episode, we talk about how Toyota and Stanford are collaborating to utilize AI for drifting controls and the efforts behind a team at TUM which has resulted in an autonomous race car performing at the capacity of an amateur F1 driver.
Article #5 Altair Startup Series. How startups can accelerate growth and effectively use artificial intelligence for quality assurance, data analytics, and other critical engineering tasks.
Deep-learning algorithms are enabling powerful video analytics. A practical use in manufacturing is monitoring human actions in manual operations. Some assemblies require specific torquing sequences, which can't always be tracked with traditional methods. AI-based Computer Vision advances quality management.
3 minutes read
Artificial intelligence (AI) is showing significant promise in medical imaging. To translate this promise to reality requires rigorous evaluation of these algorithms.
Interdisciplinary team tackles complexity of clinical data in perioperative care
Developing a tool that evaluates button and switch devices from both hardware (through physical input) and software perspectives is the next logical step in the evolution of device testing automation.
5 minutes read
Resilient robot teams juggle competing priorities without deadlock
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For now, at least, machines need humans as much as humans need machines. At this intersection, machine learning (ML) offers intriguing possibilities for managing the billions of end devices that comprise the IoT. ML is a practical, mathematical field.
3 minutes read
UTEP 2022 ends with 12 submissions in the final month. The recent articles covered different areas of technology like smart farming, AI, 3D printing, wind energy, structural engineering, biotechnology, and more. As we eagerly wait for the results, here is an article summarizing the new submissions.
Real-time 3D model creation in motion with Photoneo’s MotionCam-3D enables automated sandblasting/painting of large objects without interruption.
3 minutes read
In a highly competitive environment, retailers are leveraging cutting-edge technologies to boost efficiency and run their businesses more effectively. AI-powered robots are transforming the retail sector by optimizing pricing strategies, inventory management, and more.
4 minutes read
Before the pandemic, research suggested that adoption of AI (artificial intelligence) and ML (machine learning) in business was increasing at a rate of about 25% per year.
