While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...
Trees (and chains) of kinematic equations are used in robotics, computer graphics, and animation. In robotics forward kinematics refers to the use of kinematic equations to compute the position of an ...
The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.
A Samsung AI researcher in Montreal has created a tiny AI model that punches far above its weight, challenging the industry’s focus on massive scale. Released this week, the 7-million-parameter Tiny ...
School of Physics and Optoelectronics, Xiangtan University, Xiangtan, Hunan, China Accurate reconstruction of optical fiber curves has important applications in fields like medicine, aerospace, and ...
Scanning electron microscopy (SEM) images are already a common staple of battery research. Now, they can be paired with a simple algorithm to enable better prediction of lithium metal battery ...
For centuries, we have relied on human intuition, behavioral cues, and painstaking manual analysis to determine veracity in written communications. Enter artificial intelligence. AI algorithms, ...
One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.
Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...
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