Skip to content Skip to sidebar Skip to footer

Artificial Intelligence

Decoding Deep Learning for Biodiversity Surveillance: Presenting AudioProtoPNet

As global biodiversity decreases, with the 29% decline in wild bird populations in North America since 1970 offering a vivid example, effective monitoring systems are increasingly important. Birds are important indicators of environmental health, and information about bird species presence and behavior provides crucial data about overall biodiversity. A cost-effective way that has been gaining momentum…

Read More

VDTuner: An Auto-Performance Optimization Structure for Vector Data Management Systems (VDMSs) Powered by Machine Learning

Artificial Intelligence (AI) technology has seen significant growth due to the introduction of Large Language Models (LLMs), which are being increasingly employed to deal with issues like conversation hallucination and managing unstructured multimedia data conversion. To facilitate this, Vector Data Management Systems (VDMSs) are specially developed for vector management. Platforms like Qdrant and Milvus, which…

Read More

A versatile approach to assist artists in enhancing animation.

Media artists who work on animated movies and video games could have more control over their animations, thanks to a new technique developed by researchers at MIT (Massachusetts Institute of Technology). This novel approach uses mathematical functions called barycentric coordinates to define how 2D and 3D shapes can move and change shape. Currently, many techniques for…

Read More

MIT Media Coverage: A Look Back at 2023

The year 2023 marked several significant achievements for the Massachusetts Institute of Technology (MIT) as it sought to unravel the mysteries of the inner and outer world. From President Sally Kornbluth's inauguration, Mark Rober's address at the commencement, to Professor Moungi Bawendi winning the Nobel Prize in Chemistry, the institution has had an exciting year. Under…

Read More

Media coverage of MIT: A recap of 2023

Read More

The brain’s language network has to put in more effort when dealing with complicated and unfamiliar sentences.

MIT neuroscientists have used an artificial language network to determine the type of sentences that most stimulate the brain's key language processing regions. Their study reveals that the brain reacts more to complex sentences with unusual grammar or unexpected meaning. Straightforward sentences or nonsensical sequences show little engagement. The researchers focused on language processing regions…

Read More

Intricate and unfamiliar sentence structures place increased strain on the brain’s language processing network.

A team of neuroscientists from the Massachusetts Institute of Technology (MIT) have used an artificial language network to identify the type of sentences that activate the brain's critical language processing centres. The team learned that more complex sentences, which feature unusual grammar or unexpected meanings, generate strong responses from these centres, while straightforward sentences barely…

Read More

Boost LLM efficiency by integrating human and AI responses on Amazon SageMaker for Amazon Engineering.

Amazon’s EU Design and Construction (Amazon D&C) team is in charge of designing and constructing Amazon warehouses. They have to sift through a large number of documents and information to ensure the warehouse designs meet high standards. As part of a pilot scheme, Amazon D&C implemented an AI-powered solution built on Amazon SageMaker to help…

Read More