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Will Large Language Models End Programming?

Unite.AI

The simplicity of user interfaces and the ability to generate code through straightforward commands like “Build me a website to do X” is revolutionizing the process. Similar to how early computer scientists transitioned from a focus on electrical engineering to more abstract concepts, future programmers may view detailed coding as obsolete.

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On the Open Letter to Halt New AI Developments: 3 Turing Awardees Present 3 Different Postures

Towards AI

Picture created with Dall-E-2 Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, three computer scientists and artificial intelligence (AI) researchers, were jointly awarded the 2018 Turing Prize for their contributions to deep learning, a subfield of AI. Join thousands of data leaders on the AI newsletter.

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

Moreover, the interdisciplinary nature of AI research, involving collaboration between computer scientists, statisticians, and domain experts, emphasizes the need for clear and well-documented methodologies.

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Boston Children’s Researchers, in Joint Effort, Deploy AI Across Their Hip Clinic to Support Patients, Doctors

NVIDIA

A team of 10 researchers are working on the project, funded in part by an NVIDIA Academic Hardware Grant , including engineers, computer scientists, orthopedic surgeons, radiologists and software developers.

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AI Technology NYUTron Accurately Predicts Health Outcomes

NYU Center for Data Science

As a medical fellow for NYU Langone Health, Lavender’s work explores clinical predictions using natural language processing. I first heard about the research idea in my PhD interview process when I met Assistant Professor at Langone (and CDS affiliated professor) Eric Oermann , my current advisor.

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The Intersection of AI and Quantum Computing

Pickl AI

For example, quantum-enhanced Machine Learning could lead to breakthroughs in Natural Language Processing (NLP), enabling systems to understand context better and generate more nuanced responses. Quantum algorithms can exploit superposition and entanglement to capture these complex correlations more efficiently.

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

IBM computer scientist Arthur Samuel coined the phrase “machine learning” in 1952. In 1962, a checkers master played against the machine learning program on an IBM 7094 computer, and the computer won. On a broader level, it asks if machines can demonstrate human intelligence.