Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Institute for Medical Engineering and Science (IMES)

Close

The automated system instructs users on the appropriate times to engage with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 4, 202434Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that trains users on when to trust an AI model's advice. This automated system essentially creates an onboarding process based on a specific task performed by a human and an AI model. It then uses this data to develop training exercises, helping…

Read More

An automated platform instructs users on the appropriate timing for partnership with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 4, 202441Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have outlined an onboarding process, which includes training for users of artificial intelligence (AI) tools to better comprehend and utilise them. With a 5% accuracy improvement, the system setup enables a user to discern when to collaborate with AI by providing a personalised training programme. The AI…

Read More

The automated mechanism instructs users on the optimal times to work in conjunction with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 3, 202432Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed an automated training system that can guide users on when and how to collaborate with AI models effectively. The system, designed to adapt to multiple tasks, does this by training users using data from the interaction between the human and AI for a specific…

Read More

The automated system instructs users on the appropriate times for cooperating with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 3, 202437Views0Likes0Comments
MIT and MIT-IBM Watson AI Lab researchers have developed an automated system that trains users to effectively collaborate with artificial intelligence (AI). The system, which is designed to be customized for different tasks, identifies the circumstances under which a user should pay attention to the AI's recommendations and describes these conditions in natural language. Initially,…

Read More

An automated setup instructs users about the appropriate timing for cooperation with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedApril 3, 202436Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed a system that educates a user on when to trust an AI assistant's recommendations. During the onboarding process, the user practices collaborating with the AI using training exercises and receives feedback on their and the AI's performance. This system led to a 5% improvement…

Read More

The automated system instructs users on appropriate timings for collaboration with an AI assistant.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Health care, Human-computer interaction, IDSS, Institute for Medical Engineering and Science (IMES), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedMarch 7, 202434Views0Likes0Comments
Researchers at MIT and the MIT-IBM Watson AI Lab have developed an onboarding process that efficiently combines human and AI efforts. The system educates a user when to collaborate with an AI assistant and when not. This method can find situations when a user trusts the AI model's advice, but the model is incorrect. The…

Read More

MIT researchers harness artificial intelligence to discover potential new antibiotic classes.

Antibiotics, Artificial Intelligence, Biological engineering, Broad Institute, Drug discovery, Drug resistance, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, Research, School of Engineering, UncategorizedMarch 7, 202437Views0Likes0Comments
Using deep learning, a form of artificial intelligence, researchers at MIT have discovered a group of compounds that can eliminate methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium that causes over 10,000 deaths in the US annually. The compounds, which display low toxicity against human cells, are considered good potential drug candidates. In a paper published in…

Read More

Safety Guidelines in the Stratosphere: The Potential Influence of Aviation on Regulating Health-based AI Systems

Aeronautical and astronautical engineering, Artificial Intelligence, Aviation, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Digital technology, Electrical Engineering & Computer Science (eecs), Ethics, Health care, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, MIT Schwarzman College of Computing, School of Engineering, Technology and policy, Technology and society, UncategorizedMarch 7, 202437Views0Likes0Comments
A 2022 report from the International Air Transport Association revealed that the odds of dying in a plane crash are extremely low, with an industry fatality risk of 0.11. This implies that a person would need to fly daily for over 25,000 years to have a 100% chance of experiencing a fatal accident, underscoring why…

Read More

+60 12-462 2768
hello@goacademyai.com