AI News
Novel AI model inspired by neural dynamics from the brain
New type of “state-space model” leverages principles of harmonic oscillators.
Making AI models more trustworthy for high-stakes settings
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
Essay challenge: ChatGPT vs students
Researchers have been putting ChatGPT essays to the test against real students. A new study reveals that the AI generated essays don't yet live up to the efforts of real students. While the AI essays were found to be impressively coherent and grammatically sound, they fell short in one crucial area -- they lacked a personal touch. It is hoped that the findings could help educators spot cheating in schools, colleges and universities worldwide by recognizing machine-generated essays.
The MIT-Portugal Program enters Phase 4
New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.
How can we optimize solid-state batteries? Try asking AI
Researchers have developed a data-driven AI framework that gives scientists a head start by suggesting ideal candidate materials.
'Explainable' AI cracks secret language of sticky proteins
An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's Disease and around fifty other types of human disease. In a departure from typical 'black-box' AI models, the new tool, CANYA, was designed to be able to explain its decisions, revealing the specific chemical patterns that drive or prevent harmful protein folding.
New AI model improves MS diagnostics
To provide the right treatment for MS, it is important to know when the disease changes from relapsing-remitting to secondary progressive, a transition that is currently recognized on average three years too late. Researchers have now developed an AI model that can determine with 90 per cent certainty which variant the patient has.
Merging design and computer science in creative ways
MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.
Novel method detects microbial contamination in cell cultures
Ultraviolet light “fingerprints” on cell cultures and machine learning can provide a definitive yes/no contamination assessment within 30 minutes.
Artificial intelligence enhances air mobility planning
Lincoln Laboratory is transitioning tools to the 618th Air Operations Center to streamline global transport logistics.
AI model for thyroid cancer diagnosis, with over 90% accuracy and reduced consultation preparation time
An interdisciplinary research team has unveiled the world's first artificial intelligence (AI) model designed to classify both the cancer stage and risk category of thyroid cancer, achieving impressive accuracy exceeding 90%. This innovative AI model promises to significantly cut frontline clinicians' pre-consultation preparation time by approximately 50%, aligning with the HKSAR Government's initiative to harness AI technology in healthcare.
Hidden mechanisms in next-generation AI memory device
As artificial intelligence (AI) continues to advance, researchers have identified a breakthrough that could make AI technologies faster and more efficient.
Awkward. Humans are still better than AI at reading the room
Humans are better than current AI models at interpreting social interactions and understanding social dynamics in moving scenes. Researchers believe this is because AI neural networks were inspired by the infrastructure of the part of the brain that processes static images, which is different from the area of the brain that processes dynamic social scenes.
Designing a new way to optimize complex coordinated systems
Using diagrams to represent interactions in multipart systems can provide a faster way to design software improvements.
Right patient, right dose, right time
A new study uses AI to modify drug doses for personalized cancer treatment.
Generative AI masters the art of scent creation
Addressing the challenges of fragrance design, researchers have developed an AI model that can automate the creation of new fragrances based on user-defined scent descriptors. The model uses mass spectrometry profiles of essential oils and corresponding odor descriptors to generate essential oil blends for new scents. This breakthrough is a game-changer for the fragrance industry, moving beyond trial-and-error, enabling rapid and scalable fragrance production.
Current AI risks more alarming than apocalyptic future scenarios
Most people generally are more concerned about the immediate risks of artificial intelligence than they are about a theoretical future in which AI threatens humanity. A new study reveals that respondents draw clear distinctions between abstract scenarios and specific tangible problems and particularly take the latter very seriously.
New model predicts a chemical reaction’s point of no return
Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.
“Periodic table of machine learning” could fuel AI discovery
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
3D modeling you can feel
TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.
