In the horticultural world, some vines are especially grabby. As they grow, the woody tendrils can wrap around obstacles with enough force to pull down fences and trees. Inspired by vines’ twisty tenacity, engineers at MIT and Stanford University have developed a robotic gripper that can snake around and lift a variety of objects and […]
Vine-inspired robot fingers can reach out and grab someone Read More »
Antibody treatments for cancer and other diseases are typically delivered intravenously, requiring patients to go to a hospital and potentially spend hours receiving infusions. Now Professor Patrick Doyle and his colleagues have taken a major step toward reformulating antibodies so that they can be injected with a standard syringe, making treatment easier and more accessible.
Reformulated antibodies could be injected for easier treatment Read More »
Researchers at MIT and Microsoft have used artificial intelligence to create molecular sensors that could detect early signs of cancer via a urine test. The researchers developed an AI model to design short proteins that are targeted by enzymes called proteases, which are overactive in cancer cells. Nanoparticles coated with these proteins, called peptides, can
A I-designed proteins may help spot cancer Read More »
As people age, their immune function weakens. Owing to shrinkage of the thymus, where T cells normally mature and diversify, populations of these immune cells become smaller and can’t react to pathogens as quickly. But researchers at MIT and the Broad Institute have now found a way to overcome that decline by temporarily programming cells
A new way to rejuvenate the immune system Read More »
In the vision disorder amblyopia (or “lazy eye”), impaired vision in one eye early in life causes neural connections in the brain’s visual system to shift toward supporting the other eye, leaving the amblyopic eye less capable even if the original impairment is corrected. Current interventions don’t work after infancy and early childhood, when the
A retinal reboot for amblyopia Read More »
MIT researchers have developed a new method for designing 3D structures that can spring up from a flat sheet of interconnected tiles with a single pull of a string. The technique could be used to make foldable bike helmets and medical devices, emergency shelters and field hospitals for disaster zones, and much more. Mina Konaković
Just pull a string to turn these tile patterns into useful 3D structures Read More »
For the last few years, the AI world has followed a simple rule: if you want a Large Language Model (LLM) to solve a harder problem, make its Chain-of-Thought (CoT) longer. But new research from the University of Virginia and Google proves that ‘thinking long’ is not the same as ‘thinking hard’. The research team
The balance of power in the digital age is shifting. While governments and large corporations have long used data to track individuals, a new open-source project called OpenPlanter is giving that power back to the public. Created by a developer ‘Shin Megami Boson‘, OpenPlanter is a recursive-language-model investigation agent. Its goal is simple: help you
Google DeepMind is pushing the boundaries of generative AI again. This time, the focus is not on text or images. It is on music. The Google team recently introduced Lyria 3, their most advanced music generation model to date. Lyria 3 represents a significant shift in how machines handle complex audio waveforms and creative intent.
However, beyond algorithms and hardware, the intelligence of robotics AI models depends on accurate, high-volume, deeply contextual, and multimodal annotated data. Data annotation for agricultural robots Data annotation is essential for training robotics AI for agriculture, enabling robots to accurately perceive crops, weeds, pests, and terrain using labeled sensor data. This process supports precision farming
Data Annotation for Agricultural Robots: Enabling Autonomous Intelligence Read More »
