Study develops a ConvLSTM model that accurately predicts patient deterioration based on facial expressions, achieving 99.89% accuracy, with potential to improve early detection in healthcare settings.
Category: robotics/AI – Page 306
đ Researchers have developed an AI system called âThe AI Scientistâ that can perform scientific research on its own, from brainstorming and experimenting to writing full papers.
A new AI system called âThe AI Scientistâ can perform scientific research completely autonomously, from brainstorming and experimenting to writing complete papers.
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Researchers from the University of British Columbia, University of Oxford, and AI startup Sakana AI have developed an AI system capable of conducting scientific research independently. Named âThe AI Scientist,â the system can generate new research ideas, write code, perform experiments, visualize results, and even compose complete scientific papers.
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âThese results confirm that computerized tongue analysis is a secure, efficient, user-friendly and affordable method for disease screening that backs up modern methods with a centuries-old practice,â
This technology could be aah-mazing!
Researchers in Iraq and Australia say they have developed a computer algorithm that can analyze the color of a personâs tongue to detect their medical condition in real time â with 98% accuracy.
âTypically, people with diabetes have a yellow tongue; cancer patients a purple tongue with a thick greasy coating; and acute stroke patients present with an unusually shaped red tongue,â explained senior study author Ali Al-Naji, who teaches at Middle Technical University in Baghdad and the University of South Australia.
Introducing Agent Q: Research Breakthrough for the Next Generation of AI Agents with Planning & Self Healing Capabilities.
In recent years, theâŠ
Conclusion
MultiOnâs Agent Q sets a new major milestone for autonomous web agents, combining advanced search techniques, AI self-critique, and reinforcement learning to overcome current limitations, representing a substantial leap forward in autonomous agents capabilities. As we continue to refine these methods and address associated challenges, moving closer to a full release in our products, the future of intelligent autonomous web agents in the real world looks promising.
The US military agency responsible for developing new technologies plans to embark on an effort to rewrite significant volumes of C code by funding a new research challenge to create an automated translator capable of converting old C code with function written in the security-focused Rust language.
The Defense Advanced Research Projects Agency (DARPA) will hold a workshop, known as Proposers Day, on Aug. 26 to outline its vision for the Translating All C to Rust (TRACTOR) project. The effort calls for academic and industry research groups to compete to create a system that can turn C code into idiomatic â that is, using native features â Rust code. The projectâs ultimate goal is to provide tools so that any organization with large volumes of software written in C can convert that code to Rust and eliminate the memory-safety errors that account for a large source of software vulnerabilities.
Without an automated system, developers are unlikely to take on the task, says Dan Wallach, program manager in DARPAâs Information Innovation Office (I2O).
Microsoft patches critical flaws in Azure Health Bot Service that could expose patient data. Researchers detail vulnerabilities and their potential im.
New research from the University of Massachusetts Amherst shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation. The study is published in 2024 IEEE International Conference on Robotics and Automation (ICRA).
This research was recognized as a finalist for Best Paper Award on Multi-Robot Systems at the IEEE International Conference on Robotics and Automation 2024.
âThereâs a long history of debate on whether we want to build a single, powerful humanoid robot that can do all the jobs, or we have a team of robots that can collaborate,â says one of the study authors, Hao Zhang, associate professor at the UMass Amherst Manning College of Information and Computer Sciences and director of the Human-Centered Robotics Lab.
$665 million in cash is nothing to sneeze at, and for AMD, the acquisition is the latest step in the companyâs broader pivot that puts its main focus on AI and AI-related technologies. This is nothing new; weâve seen the same shift happen in other companies like Google, Meta, Apple, and, of course, NVIDIA. However, NVIDIAâs AI focus started many years ago.
âAI is our number one strategic priority,â said Vamsi Boppana, AMD senior vice president, AIG. âWe continue to invest in both the talent and software capabilities to support our growing customer deployments and roadmaps.â
âThe Silo AI team has developed state-of-the-art language models that have been trained at scale on AMD Instinct accelerators, and they have broad experience developing and integrating AI models to solve critical problems for end customers,â Vamsi Boppana adds. âWe expect their expertise and software capabilities will directly improve the experience for customers in delivering the best performing AI solutions on AMD platforms.â