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Dopamine is a powerful signal in the brain, influencing our moods, motivations, movements, and more. The neurotransmitter is crucial for reward-based learning, a function that may be disrupted in a number of psychiatric conditions, from mood disorders to addiction.

Now, researchers led by MIT Institute Professor Ann Graybiel have found surprising patterns of dopamine signaling that suggest neuroscientists may need to refine their model of how reinforcement learning occurs in the brain. The team’s findings were published recently in the journal Nature Communications.

Dopamine plays a critical role in teaching people and other animals about the cues and behaviors that portend both positive and negative outcomes; the classic example of this type of learning is the dog that Ivan Pavlov trained to anticipate food at the sound of bell.

Through MIT OpenCourseWare, MITx, and MIT xPRO learn about machine learning, computational thinking, deepfakes, and more, all for free.

With the rise of artificial intelligence, the job landscape is changing — rapidly. MIT Open Learning offers online courses and resources straight from the MIT classroom that are designed to empower learners and professionals across industries with the competencies essential for succeeding in an increasingly AI-powered world.

They say beauty is in the eye of the beholder – and for physicists, beauty is in numbers.

Pedro Vieira, Clay Riddell Dirac Chair in Theoretical Physics at Perimeter Institute, is currently teaching a non-credit minicourse about ‘beautiful’ papers in physics. The course alternates between lectures on nine influential papers and student-led presentations about how these monumental papers influenced physics.

This is Vieira’s second time running the course and his first time offering it at Perimeter. He says the course is a way to cover spectacular papers while helping students understand the language of quantum field theory.

We are about to show you a technological innovation that could, one day, change the way every child in every school in America is taught. It’s an online tutor powered by artificial intelligence designed to help teachers be more efficient… and students learn more effectively. It’s called Khanmigo–conmigo means “with me,” in Spanish. And Khan…is its creator…Sal Khan, the well-known founder of Khan Academy — whose lectures and educational software have been used for years by tens of millions of students and teachers in the U.S. and around the world. Khanmigo was built with the help of OpenAI, the creator of ChatGPT. Its potential is staggering, but it’s still very much a work in progress. It’s being piloted in 266 school districts in the U.S. in grades three-12. We went to Hobart High School in Indiana to see how it works.

Melissa Higgason: Good morning, just a normal day in chem, right?

At eight in the morning Melissa Higgason knows it’s not always easy to get 30 high schoolers excited about chemistry.

Chatbots can wear a lot of proverbial hats: dictionary, therapist, poet, all-knowing friend. The artificial intelligence models that power these systems appear exceptionally skilled and efficient at providing answers, clarifying concepts, and distilling information. But to establish trustworthiness of content generated by such models, how can we really know if a particular statement is factual, a hallucination, or just a plain misunderstanding?

In many cases, AI systems gather external information to use as context when answering a particular query. For example, to answer a question about a medical condition, the system might reference recent research papers on the topic. Even with this relevant context, models can make mistakes with what feels like high doses of confidence. When a model errs, how can we track that specific piece of information from the context it relied on — or lack thereof?

To help tackle this obstacle, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers created ContextCite, a tool that can identify the parts of external context used to generate any particular statement, improving trust by helping users easily verify the statement.

Continue reading “Citation tool offers a new approach to trustworthy AI-generated content” »

Nearly half a dozen institutions of higher education separately announced plans this week to make tuition free for undergraduates who meet certain income requirements, reflecting a growing nationwide effort to make college more affordable.

The schools span states from Massachusetts to New Mexico, and include some of the country’s leading universities. They all announced their initiatives within days of each other. And while the specific financial requirements for current students applicants vary between schools, all are slated to take effect in fall 2025.

The Massachusetts Institute of Technology in Cambridge, for example, says undergraduates with family income below $200,000 can attend tuition free starting next year, up from its current threshold of $140,000. It said in its announcement that 80% of American households meet the updated threshold.

PRESS RELEASE — Thirty years ago, the University of the Andes made the first internet connection in Colombia, and on Tuesday, December 3, the country’s first quantum computer will be unveiled. This acquisition marks a turning point in education and technological research, fostering interdisciplinary collaboration and enhancing ongoing efforts by researchers at the University of the Andes and other institutions.

The University’s Faculties of Science and Engineering announced the arrival of the device, which will enable students and professors to explore fundamental aspects of quantum computing. This emerging technology seeks to solve problems and process information differently by leveraging the laws of quantum physics.

Professor Julián Rincón, a theoretical physicist, explains that this quantum computer employs a technique known as Nuclear Magnetic Resonance and operates at room temperature. This makes it particularly suitable for educational purposes, as it is easy to assemble and provides a straightforward way to test fundamental concepts. “This isn’t just a faster conventional computer; it’s a completely new way of processing information, based on the laws of quantum physics,” he clarifies.

Migraine is often misunderstood, with many people facing stigma due to the invisible nature of the illness. Effective treatment is essential for managing migraine attacks, but education and support from the public and medical community are also crucial for validating the experiences of those affected.

A team of physics educators from Italy, Hungary, Slovenia, and Germany is pioneering a new approach to teaching quantum physics in schools. Traditional classroom methods have typically emphasized the history and origins of quantum physics, which can often create challenges for learners.

The researchers, including physics education specialist Professor Philipp Bitzenbauer from Leipzig University, focus on qubits—two-state systems that are both the simplest and most crucial quantum systems, capable of describing many situations. Mastering the control and manipulation of these qubits is fundamental to advancing modern quantum technologies.

According to Bitzenbauer, until now there have been no empirical studies of the effectiveness of these approaches using two-state systems in developing conceptual understanding in learners. There is also a lack of scientific research on the specific advantages and disadvantages for learning of different teaching approaches based on two-state systems.