We asked 11 academic experts to share the book that challenged their assumptions and changed their thinking in a lasting way.

The seductive appeal of in-road inductive charging, which means EVs no longer tethered to fixed charging stations, along with actual small-scale implementation, suggest that it’s likely to emerge into ...

As AI systems have advanced rapidly, with large language models (LLMs) at the center, every tech executive has experienced their limits—when AI systems struggle with complex problem-solving, produce ...

Probabilistic reasoning is central to many theories of human cognition, yet its foundations are often presented through abstract mathematical formalisms disconnected from the logic of belief and ...

Our training pipeline is adapted from verl and rllm(DeepScaleR). The installation commands that we verified as viable are as follows: conda create -y -n rlvr_train ...

For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

When EV owners complain about charging—as many do—they're normally grousing about the frustrations of dealing with the public network, where non-functional chargers and long lines at popular spots are ...

The SRF1209U4 series of common-mode chip inductors developed by Bourns Inc. is designed for noise suppression in signal transmission-line applications. They feature a low-profile, compact footprint ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Abstract: Inductive relation prediction aims to predict missing connections between entities unseen during training. Recent approaches adopt binary (positive or negative) training labels, which ...

RE-IMAGINE synthesizes new reasoning benchmarks by (1) symbolically mutating the solution processes from existing benchmarks, and (2) asking language models to imagine what would happen if the ...