Image
Pulkit Agrawal, MIT Associate Professor and CSAIL principal investigator (Credit: Mike Grimmett/MIT CSAIL).
CSAIL article

Pulkit Agrawal, MIT EECS Associate Professor and CSAIL principal investigator, has received the Toshio Fukuda Young Professional Award from the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) for his work in “robot learning, self-supervised and sim-to-real policy learning, agile locomotion, and dexterous manipulation,” according to the organization.

External
null

The Quant-essential Qualities: Insider Insights for Thriving in Algorithmic Trading

Abstract: The world of quantitative trading is notoriously siloed, secretive, and intensely competitive. In this talk, Hanna and Dan will offer an insider's perspective on quant trading, sharing insights from our firm, and outline the key qualities you can cultivate to excel in the industry.

 

Daniel Goldbach, Quantitative Developer

Image
“Solving robotics is a long-term agenda,” MIT professor Russ Tedrake reflected. “It may take decades. But the debate itself is healthy. It means we’re testing our assumptions and sharpening our tools. The truth is, we’ll probably need both data and models - but which takes the lead, and when, remains unsettled” (Credit: ChatGPT).
CSAIL article

When the IEEE International Conference on Robotics and Automation (ICRA) first convened 40 years ago, the robotics community shared a clear vision: robots would one day combine elegant mathematical models with advanced computation to handle complex tasks. Four decades later, the community is divided over how to reach that goal. That divide was on full display this May in Atlanta, where ICRA marked its anniversary with a unique closing keynote: a live Oxford-style debate on whether “data will solve robotics and automation.”

Image
A robotic arm learns to understand its own body (Credit: Courtesy of the researchers).
CSAIL article

In an office at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls its fingers to grasp a small object. The intriguing part isn’t the mechanical design or embedded sensors – in fact, the hand contains none. Instead, the entire system relies on a single camera that watches the robot’s movements and uses that visual data to control it.

Image
A new color-correcting tool, SeaSplat, reconstructs true colors of an underwater image, taken in Curacao. The original photo is in the left, and the color-corrected version made with SeaSplat is on the right (Credits: Courtesy of the researchers).
CSAIL article

The ocean is teeming with life. But unless you get up close, much of the marine world can easily remain unseen. That’s because water itself can act as an effective cloak: Light that shines through the ocean can bend, scatter, and quickly fade as it travels through the dense medium of water and reflects off the persistent haze of ocean particles. This makes it extremely challenging to capture the true color of objects in the ocean without imaging them at close range.

Image
From fish to machines: The natural ‘control law’ of fish was embedded in swarms of robotic cars, drones, and boats (Credit: Christian Ziegler/Max Planck Institute of Animal Behavior).
CSAIL article

Fish are masters of coordinated motion. Schools of fish have no leader, yet individuals manage to stay in formation, avoid collisions, and respond with liquid flexibility to changes in their environment. Reproducing this combination of robustness and flexibility has been a long-standing challenge for human engineered systems like robots. Now, using virtual reality for freely-moving fish, a research team based in Konstanz has taken an important step towards that goal.

Image
Ray and Maria Stata Center exterior
External articles

"The net effect [of DeepSeek] should be to significantly increase the pace of AI development, since the secrets are being let out and the models are now cheaper and easier to train by more people." ~ Associate Professor Phillip Isola

Image
alt="Daniela Rus, Director of CSAIL and MIT EECS Professor, was recently named a co-recipient of the 2024 John Scott Award by the Board of Directors of City Trusts (Credit: Rachel Gordon/MIT CSAIL)."
CSAIL article

Daniela Rus, Director of CSAIL and MIT EECS Professor, was recently named a co-recipient of the 2024 John Scott Award by the Board of Directors of City Trusts. This prestigious honor, steeped in historical significance, celebrates scientific innovation at the very location where American independence was signed in Philadelphia, a testament to the enduring connection between scientific progress and human potential.