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Novel thermal interface material cools chips better than existing state-of-the-art solutions.
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The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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Trained on a dataset that includes all known living species—and a few extinct ones, Evo2 can predict the form and function of proteins in the DNA of all domains of life, identify molecules useful for bioengineering and medicine
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To advance modern medicine, EPFL researchers are developing AI-based diagnostic tools. Their goal is to predict the best treatment a patient should receive.
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
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TPU vs GPU: Comprehensive Technical Comparison
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TAGGED WITH machine learning
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.
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
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
Novel thermal interface material cools chips better than existing state-of-the-art solutions.
2 minutes read
Trained on a dataset that includes all known living species—and a few extinct ones, Evo2 can predict the form and function of proteins in the DNA of all domains of life, identify molecules useful for bioengineering and medicine
5 minutes read
To advance modern medicine, EPFL researchers are developing AI-based diagnostic tools. Their goal is to predict the best treatment a patient should receive.
6 minutes read
As the demand for smarter, faster, and more efficient electronic devices grows, the development of advanced circuits is becoming central to the evolution of next-generation technologies.
Columbia AI Summit keynote speaker Sami Haddadin discusses AI that interacts with the physical world—and what it could mean for human potential.
4 minutes read
New research uses AI to improve training of sensorimotor skills in human subjects, with potential applications ranging from performing surgery to perfecting tennis serves.
2 minutes read
FACTUREE’s novel approach to procurement helps safeguard intellectual property.
Transforming Robotics Through Collaboration: Lessons from Shadow Robot and DeepMind's DEX-EE Project
Shadow Robot’s partnership with Google DeepMind exemplifies how collaboration drives innovation in robotics and AI. This article explores how their expertise in dexterous robotic hands, particularly the DEX-EE, is advancing machine learning research.
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The global virtual event is your gateway to the future of engineering, data science, and AI-driven innovation. Register today!
New research could improve the safety of drone shows, warehouse robots, and self-driving cars.
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
Building on the success of conventional wearables, smart rings have been enthusiastically embraced by early adopters with a finger on the pulse of cutting-edge yet fashionable health and fitness wireless products.
3 minutes read
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.
Yevgeniy Vorobeychik, Ning Zhang and William Yeoh receive $1.5 million DoD grant to enhance multiple facets of generative AI
2 minutes read
A new study in Nature by last year's Nobel Laureate in Chemistry reveals a possible game-changer in snakebite treatment. Researchers have created new proteins that neutralise lethal toxins found in snake venom, potentially offering a safer and more effective alternative to traditional antivenoms.
3 minutes read
