Mobile ALOHA, the robot seen at left, learns through imitation learning by running through the desired action about 50 times to help it learn that task independently. Such co-training can increase success rates by up to 90% allowing Mobile ALOHA to autonomously complete complex mobile manipulation tasks.
The NSF and the Department of Energy awarded grants to research teams as part of a National Artificial Intelligence Research pilot. Two Stanford AI projects - from the School of Engineering and School of Medicine - were selected for the pilot. The engineering project will focus on learning effective reward functions for robotics using large datasets and human feedback.
Stanford researchers have developed a prototype augmented reality headset that uses holographic imaging to overlay full-color, 3D moving images on the lenses of what would appear to be an ordinary pair of glasses. To succeed, the researchers have overcome technical barriers through a combination of AI-enhanced holographic imaging and new nanophotonic device approaches.
Researchers at Stanford University have introduced a more efficient processing technique that can print up to 1 million highly detailed and customizable microscale particles a day. These 3D-printed microscopic particles are so small that to the naked eye they look like dust, and have applications in drug and vaccine delivery, microelectronics, microfluidics, and abrasives for intricate manufacturing.
A team of scientists, seen here at left, has developed a groundbreaking method that harnesses the structure of light to twist and tweak the properties of quantum materials. This flexibility could allow the method to work for a broad range of applications, making it easier to develop new technologies. That could, for example, lead to the development of super-fast switches for quantum computers, which could drastically outperform the computers we use today.
Launched in 2023, Stanford's Ecopreneurship program supports a new generation of sustainability-focused entrepreneurs through a robust set of courses, co-curricular programs, and grants. Featured in the annual report are some of the emerging ecopreneurs benefiting from the programs’ structured pathways of support.
From Our Neurons to Yours is a podcast that crisscrosses scientific disciplines to bring you to the frontiers of brain science. Nik Sawe, a neuro-economist who uses brain imaging to study environmental decision making helps us understand why are our brains so bad at perceiving this existential, long-term risk to our society and our planet. And are there ways we could work with our brains' limitations to improve our decision-making around environmental issues and the future more broadly?
This year's AI Index, an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) is out. The 500 page report tracking 2023's worldwide AI trends is available here. This year’s report covers the rise of multimodal foundation models, major cash investments into generative AI, new performance benchmarks, shifting global opinions, and new major regulations. The high level overview in 13 charts is available here.
Stanford researchers have unveiled a new type of frequency comb, a high-precision measurement device, that is innovatively small, ultra-energy efficient, and exceptionally accurate. Among the many applications the researchers envision for their versatile technology are powerful handheld medical diagnostic devices and widespread greenhouse gas monitoring sensors.
A new report from the Stanford University Institute for Human-Centered Artificial Intelligence (Stanford HAI) analyzes the risks of AI and offers potential solutions. This article outlines the main findings of a published white paper titled “Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World.”
