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

Artificial Intelligence

Close

Bridging the divide between design and production for optical instruments

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 17, 202442Views0Likes0Comments
Photolithography is a crucial process in the manufacturing of computer chips and other optical devices, but validity between the design and the final product often falls short due to tiny variations in the manufacturing process. To address this issue, researchers from MIT and the Chinese University of Hong Kong have developed a machine-learning aided digital…

Read More

The potential of deep neural networks as models for human auditory perception is quite promising.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 17, 202438Views0Likes0Comments
A recent study from MIT has shown that computational models that mimic the structure and function of the human auditory system could significantly aid research into more sophisticated hearing aids, cochlear implants, and brain-machine interfaces. Modern computational models that use machine learning have already made progress in this area. The MIT team carried out the…

Read More

A computational model successfully grasps the hard-to-detect transitional phases of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 17, 202437Views0Likes0Comments
A team of MIT scientists has developed a machine learning-based model to calculate transition states during chemical reactions, a process which normally requires quantum computing and can take hours or even days to complete. Transition states, which inevitably occur during reactions when molecules reach a particular energy threshold, were previously calculated through quantum chemistry’s density…

Read More

A versatile approach designed to assist illustrators in enhancing their animation.

Algorithms, Artificial Intelligence, Arts, Augmented and virtual reality, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Mathematics, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, UncategorizedApril 17, 202437Views0Likes0Comments
Researchers at MIT have developed a technique that could allow animators to have greater control over their characters. The method uses mathematical functions known as barycentric coordinates, which define how 2D and 3D shapes can bend, stretch, and move through space. This technique could provide artists with more flexibility in their animations, unlike previous techniques…

Read More

MIT researchers, utilizing AI, have discovered a new category of potential antibiotics.

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, UncategorizedApril 17, 202442Views0Likes0Comments
A powerful new class of antibiotics capable of killing drug-resistant bacteria has been discovered by researchers at the Massachusetts Institute of Technology (MIT), by utilizing a subtype of artificial intelligence (AI) known as deep learning. Results from the study, published in the journal Nature, demonstrate the compound's effectiveness against Methicillin-Resistant Staphylococcus Aureus (MRSA), a bacterium…

Read More

The Significance of Compact Language Models in Advancing Artificial Intelligence (AI) Technology: A Tiny Force to Reckon With

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Small Language Model, Staff, Tech News, Technology, UncategorizedApril 17, 202434Views0Likes0Comments
In recent years, Large Language Models (LLMs) have gained prominence due to their exceptional text generation, analysis, and classification capabilities. However, their size, need for high processing power and energy, pose barriers to smaller businesses. As the rush for bigger models increases, an interesting trend is gaining momentum: the rise of Small Language Models (SLMs),…

Read More

Must-Read LangChain Books for 2024

AI Shorts, Artificial Intelligence, Books, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 17, 202437Views0Likes0Comments
LangChain is an open-source framework for developers to easily implement Large Language Models (LLMs) in applications. The increased connectivity with external sources enhances the capabilities of these models, leading to better results. Its popular use includes in creating chatbots, retrieval-augmented generation, and document summary apps. In light of its growing importance, here are some must-read…

Read More

KIVI: An Easy-to-use 2-bit KV Cache Quantization Strategy that Requires No Adjustments

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedApril 17, 202433Views0Likes0Comments
Large Language Models (LLMs) are valuable in many areas, especially when it comes to generating texts or responding to queries. However, they face a significant challenge - they consume vast amounts of memory for efficient functioning. This memory is utilized to store information on previously encountered words and phrases, which aids the model in generating…

Read More

WizardLM-2: An Open-Source AI Model Allegedly Surpasses GPT-4 in MT-Bench Benchmark Performance

AI Shorts, Applications, Artificial Intelligence, Editors Pick, New Releases, Staff, Tech News, Technology, UncategorizedApril 17, 202433Views0Likes0Comments
A team of AI researchers has developed a new series of open-source large language models (LLMs) called WizardLM-2, signaling a significant breakthrough in artificial intelligence. Consisting of three models, WizardLM-2 8x22B, WizardLM-2 70B, and WizardLM-2 7B, each model is designed to handle different complex tasks, aiming to enhance machine learning capabilities. The introduction of WizardLM-2…

Read More

Bridging the gap between design and production for optical instruments.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedApril 17, 202438Views0Likes0Comments
Photolithography, a process used to fabricate computer chips and optical devices, often falls short of designers' intentions due to tiny deviations during manufacturing. To address this, researchers from MIT and the Chinese University of Hong Kong have used machine learning to develop a digital simulator that precisely replicates a specific photolithography manufacturing process. The simulator…

Read More

Deep neural networks demonstrate potential in simulating human auditory perception.

Artificial Intelligence, Brain and cognitive sciences, Hearing, Machine learning, McGovern Institute, National Institutes of Health (NIH), Research, School of Science, UncategorizedApril 17, 202440Views0Likes0Comments
A new study from MIT reveals that modern computational models based on machine learning, which mimic the structure and function of the human auditory system, are coming closer to potentially aiding the design of improved hearing aids, cochlear implants, and brain-machine interfaces. The MIT team’s research is the most extensive to date on deep neural networks,…

Read More

A computational model successfully records the hard-to-track transitional phases of chemical reactions.

Artificial Intelligence, Chemical engineering, Chemistry, Machine learning, National Science Foundation (NSF), Research, School of Engineering, School of Science, UncategorizedApril 17, 202437Views0Likes0Comments
MIT researchers have developed a machine learning-based technique that can rapidly calculate the structures of fleeting transition states during chemical reactions. Identifying and understanding these quasi-instantaneous moments, when molecules have collected enough energy to proceed with reaction, is crucial to fields such as catalyst design and natural system research. With traditional quantum chemistry-based techniques, it…

Read More

+60 12-462 2768
hello@goacademyai.com