Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Chris Phillips, VP and GM of Education at Google, says AI can help students deepen their understanding of concepts, enhance critical thinking, and foster creativity, while freeing up teachers to focus ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
Abstract: Energy Internet and system integration promote the development of green energy, but the battery recycling problem is becoming increasingly serious, especially the proliferation of used ...
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. agent/: Agent library (dr-agent-lib) with MCP-based tool ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
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 ...
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