New method uses crowdsourced feedback to help train robots
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.
Passionate about materials science “from the atom to the system,” Elsa Olivetti brings a holistic approach to sustainability to her teaching, research, and coalition-building.
MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.
A study by philosopher Kevin Dorst explains how political differences can result from a process of “rational polarization.”
The new sensor measures heart and breathing rate from patients with sleep apnea and could also be used to monitor people at risk of opioid overdose.
MIT researchers who share their data recognized at second annual awards celebration.
MIT study suggests 3D folding of the genome is key to cells’ ability to store and pass on “memories” of which genes they should express.
The wearable device, designed to monitor bladder and kidney health, could be adapted for earlier diagnosis of cancers deep within the body.
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.
The LIRAS technique could speed up the development of acoustic lenses, impact-resistant films, and other futuristic materials.
New coating protects nitrogen-fixing bacteria from heat and humidity, which could allow them to be deployed for large-scale agricultural use.
Thin flakes of graphite can be tuned to exhibit three important properties.
The team’s new algorithm finds failures and fixes in all sorts of autonomous systems, from drone teams to power grids.