ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and accessibility of data sets has now become a structural layer of the scientific method ...

According to Fei-Fei Li (@drfeifei), the inaugural BEHAVIOR Challenge has demonstrated significant progress in robotic learning and embodied AI, with top-performing teams excelling across 50 complex ...

RLP uses a single network (shared parameters) to (1) sample a CoT policy 𝜋 𝜃 ( 𝑐 𝑡 ∣ 𝑥 < 𝑡 ) π θ (c t ∣x <t ) and then (2) score the next token 𝑝 𝜃 ( 𝑥 𝑡 ∣ 𝑥 < 𝑡 , 𝑐 𝑡 ) p θ (x t ∣x <t ...

What are the differences between lesson objectives, learning objectives and success criteria and how can we sharpen our lesson planning and pedagogical choices? Helen Webb offers some practical ...

In classrooms across the country, students are mastering their ABCs, solving equations, and diving into science. But one essential life skill–behavior–is not in the lesson plan. For too long, ...

Abstract: Reinforcement Learning (RL) is a widely used machine learning technique allowing Unmanned Aerial Vehicles (UAVs) to learn, via interaction, behavior that maximizes a scalar-valued reward ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Background: The rapid advancement of technology has brought numerous benefits to public health but has also contributed to a rise in sedentary lifestyles, linked to various health issues. As prolonged ...

In education, as in psychology, clarity matters. Yet in everyday conversations about teaching and learning, terms like learning theory and pedagogy are often used interchangeably. Phrases such as “We ...