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

Electrical Engineering & Computer Science (eecs)

Close

A novel approach has been developed to allow AI chatbots to engage in conversation throughout the entire day without collapsing.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 17, 202429Views0Likes0Comments
Researchers from MIT and other institutions have developed a method that prevents large AI language machines from crashing during lengthy dialogues. The solution, known as StreamingLLM, tweaks the key-value cache (a sort of conversation memory) of large language models to ensure the first few data pieces remain in memory. Typically, once the cache's capacity is…

Read More

A novel method enables AI chatbots to communicate continuously without failure.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 17, 202439Views0Likes0Comments
Researchers from MIT and other institutions have found a solution to an issue that causes machine-learning model-run chatbots to malfunction during long, continuous dialogues. They found that significant delays or crashes happen when the key-value cache, essentially the conversation memory, becomes overloaded leading to early data being ejected and the model to fail. The researchers…

Read More

Scientists employ generative artificial intelligence to tackle intricate queries in the field of physics.

Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Machine learning, Mathematics, MIT Schwarzman College of Computing, Physics, Research, School of Engineering, School of Science, UncategorizedMay 16, 202439Views0Likes0Comments
Researchers from MIT and the University of Basel in Switzerland have developed a new machine-learning framework that can map phase diagrams for novel physical systems automatically. By applying generative artificial intelligence models, the team has developed a more efficient method for tracking and understanding phase transitions in water and other complex physical systems, which offers…

Read More

An innovative method enables AI chatbots to engage in conversations all day without experiencing errors or shutdowns.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 15, 202431Views0Likes0Comments
A team of researchers from MIT, Meta AI, Carnegie Mellon University, and NVIDIA, have found a solution to the problem of the performance degradation of AI chatbots during extended human-AI conversations. They identified a challenge associated with AI conversation memory, known as the key-value cache, where data is bumped out when the cache exceeds its…

Read More

Improving the dependability of language models by leveraging concepts from game theory.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Game theory, Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, Research, Robotics, School of Engineering, UncategorizedMay 15, 202433Views0Likes0Comments
Researchers from MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a new type of game to enhance how artificial intelligence (AI) comprehends and produces text. This "consensus game" includes two parts of an AI system - the part that generates sentences and a part that evaluates those sentences. This model significantly improved the…

Read More

The potential of App Inventor: Making mobile application creation accessible to everyone.

academics, Apps, Artificial Intelligence, Education, Electrical Engineering & Computer Science (eecs), Global, History of MIT, History of science, K-12 education, Media Lab, MIT Schwarzman College of Computing, Online learning, Open access, Open Source, Programming, School of Architecture and Planning, School of Engineering, STEM education, teaching, UncategorizedMay 11, 202446Views0Likes0Comments
In June 2007, Apple introduced the first iPhone, featuring an App Store exclusively for approved applications. This decision, however, excluded educators from incorporating burgeoning mobile app development into education. Simultaneously, Hal Abelson, an MIT professor on sabbatical at Google, was contemplating Google's response to Apple's grip on the mobile software market. Both Abelson and Google…

Read More

An improved method for regulating the transformation of flexible robots.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, Robotics, Robots, School of Engineering, UncategorizedMay 10, 202440Views0Likes0Comments
Scientists at MIT have been working on the design and control of a reconfigurable, squishy, soft robot, similar in nature to 'slime', that has potential applications in healthcare, wearable devices and industrial systems due to its ability to shape-shift to complete varying tasks. These soft robots currently only exist in labs and do not possess…

Read More

Developing custom coding languages for effective visual artificial intelligence systems.

Artificial Intelligence, Computer graphics, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Games, Information systems and technology, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Profile, Programming, Programming languages, School of Engineering, Uncategorized, VideoMay 4, 202439Views0Likes0Comments
Associate Professor Jonathan Ragan-Kelley at the MIT Department of Electrical Engineering and Computer Science is a creator behind many innovative technologies used in photographic image processing and editing. Ragan-Kelley has contributed to the visual effects industry and was instrumental in designing the Halide programming language, a tool widely used in the photo editing sector. Ragan-Kelley,…

Read More

+60 12-462 2768
hello@goacademyai.com