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Yahoo's Rajdeep Sarkar talks about his work as a research scientist in the areas of deep learning and natural language processing, and how one can excel in this space.
As dialogue agents become increasingly human-like in their performance, we must develop effective ways to describe their behaviour in high-level terms without falling into the trap of anthropomorphism. Here we foreground the concept of role play. Casting dialogue-agent behaviour in terms of role play allows us to draw on familiar folk psychological terms, without ascribing human characteristics to language models that they in fact lack. Two important cases of dialogue-agent behaviour are addressed this way, namely, (apparent) deception and (apparent) self-awareness. By casting large-language-m...
The power of human language and thought arises from systematic compositionality—the algebraic ability to understand and produce novel combinations from known components. Fodor and Pylyshyn1 famously argued that artificial neural networks lack this capacity and are therefore not viable models of the mind. Neural networks have advanced considerably in the years since, yet the systematicity challenge persists. Here we successfully address Fodor and Pylyshyn’s challenge by providing evidence that neural networks can achieve human-like systematicity when optimized for their compositiona...
AI-driven model matches experts in offering insightful feedback on scientific manuscripts, proving equally effective if not more, in evaluating research quality and potential. The tool, based on the GPT-4 architecture, efficiently streamlines the peer review process, offering tailored suggestions that many researchers found valuable and intent to reuse.
AI Adoption Slow For Design Tools Kapoor, A., Lin, R., & Green, W. M. . Power, complexity, and scaling of photonic integrated circuits. Applied Physics Reviews, 6, 031307. ...