Abstract: Temporal knowledge graphs (TKGs) effectively capture the dynamic evolution of events over time, emerging as a critical driving force in the advancement of artificial intelligence. In recent ...

Here’s what you’ll learn when you read this story: Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, ...

What do e-bikes and laptops have in common? Both can be wirelessly charged by induction. E-bikes and laptops both use lithium-ion batteries for power, chosen for their light weight, high energy ...

In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" ...

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 ...

Up in the Cascade Mountains, 90 miles east of Seattle, a group of high-ranking Amazon engineers gather for a private off-site. They hail from the company’s North America Stores division, and they’re ...

For years, philosophers and psychologists have debated whether empathy helps or hinders the ways people decide how to help others. Critics of empathy argue that it makes people care too narrowly – ...

Believe it or not, emotional reasoning is neither rare nor uncommon. It is present when we feel jealous and conclude that our partner is cheating on us, with no reason or evidence to back this ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...

What if artificial intelligence could think more like humans, adapting to failures, learning from mistakes, and maintaining a coherent train of thought even in the face of complexity? Enter RAG 3.0, ...