LiDAR technology has been rapidly evolving and is now increasingly affordable, providing new opportunities for its use in various applications. One of the key applications where LiDAR is making a significant impact is in robotics and autonomous vehicles. In this article, we will explore how LiDAR is revolutionizing these fields and its potential for the future. What is LiDAR? LiDAR is a remote sensing technology that stands for Light Detection And Ranging. It uses lasers to measure distance by emitting short pulses of laser light and then measuring the time it takes for the light to bounce back off an […]
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Artificial Intelligence in Waste Management
In today’s tech-driven world, the role of artificial intelligence (AI) in various industries has become crucial. Waste management is no exception. The integration of AI in waste management has paved the way for a more efficient and sustainable future. Understanding Waste Production and Consumption Patterns AI plays a critical role in understanding the patterns of waste production and consumption. This data allows waste management companies to develop better plans for managing waste. By analyzing when and where people are throwing away trash, waste management trucks can be optimized to pick up garbage at the most opportune times and places. Identifying […]
Safer skies with self-flying helicopters
Autonomous helicopters made by Rotor Technologies, a startup led by MIT alumni, take the human out of risky commercial missions.
Doctors have more difficulty diagnosing disease when looking at images of darker skin
Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.
How symmetry can come to the aid of machine learning
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
Q&A: A blueprint for sustainable innovation
Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.
Generating the policy of tomorrow
Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.
Reasoning and reliability in AI
PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
New hope for early pancreatic cancer intervention via AI-based risk prediction
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.