A deep dive into the convergence of generative AI and edge computing.
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A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Duke team disentangles neural networks to understand how they see the world
A new approach to image search uses images returned by traditional search methods as nodes in a graph neural network through which similarity signals are propagated, achieving improved ranking in cross-modal retrieval.
14 minutes read
Jonathan Ross, Founder, and CEO of Groq delivered a keynote speech as part of the AI Summit on September 29, 2020, describing insights on the industry, the market, and the unique Groq architecture capable of producing the world’s first PetaOp chip
Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.
Scientists working at the intersection of AI and cancer care need to be more transparent about their methods and publish research that is reproducible, according to a new commentary co-authored by CSAIL's Tamara Broderick.
Manual singulation of huge piles of parcels and envelopes, followed by sorting and placing them on a conveyor belt, gets challenging, especially during peaks. Automation of this process can increase productivity, save costs and time, and reduce injuries.
5 minutes read
Artificial intelligence (AI) can become more efficient and reliable if it is made to mimic biological models. New approaches in AI research are hugely successful in experiments.
What can Artificial Intelligence (AI) and robotics do to improve the recycling rate for large pieces of waste?
How will they help customers in their industrial applications? Photoneo’s Marcel Svec, Director of 3D Sensing, and Svorad Stolc, Head of R&D, have answered this and other questions.
4 minutes read
Thanks to advances in technologies such as 3D machine vision, robotics is entering all spheres of industrial processes. The COVID-19 outbreak has boosted awareness of the pressing need to apply automation for fast and accurate order fulfillment and efficient supply chains.
6 minutes read
No need to worry, AI based cybersecurity can help you!
5 minutes read
When a natural disaster occurs, on-the-ground emergency response teams act quickly to make life-saving decisions. Reducing the response time in such situations is critical to reduce damage impact and save lives.
Machine learning algorithm uses high-temporal-resolution growth curves to identify pathogens with 98% accuracy and predict antibiotic resistance just as well as genetic-based methods
Raising Awareness About The Dangers of Synthetic Media
8 minutes read
