Rethinking trust in direct messages in the AI era

This blog post is a part of a series exploring our research in privacy, security, and cryptography. For the previous post, see https://www.microsoft.com/en-us/research/blog/research-trends-in-privacy-security-and-cryptography. While AI has the potential to massively increase productivity, this power can be used equally well for malicious purposes, for example, to automate the creation of sophisticated scam messages. In this post, we explore threats AI can pose for online communication ecosystems and outline a high-level approach to mitigating  

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AI Frontiers: AI in India and beyond with Sriram Rajamani

[MUSIC FADES] All right, so, Sriram, let’s dive right in. I think it’s fairly obvious for me to say at this point that ChatGPT—and generative AI more broadly—is a worldwide phenomenon. But what’s so striking to me about this is the way that so many people around the world can pick up the technology and use it in their context, in their own way. I was on a panel discussion a few weeks ago where I saw a comedian discover […]

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Building a “heavy metal quartet” of AI compilers

By MSR Editor  Compilation is an important process in program development, in which a program called a compiler translates source code written in a programming language into machine code executable on computer hardware. As AI technology and large-scale AI models become increasingly prevalent across the digital world, their unique characteristics are posing new challenges for compilers. As AI models have evolved from early versions like recurrent neural networks (RNN) and convolutional neural networks (CNN) to more recent iterations like Transformer, […]

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Research Focus: Week of August 28, 2023

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article NEW RESEARCH An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability In many fields, practitioners focus on inference (precisely estimating  

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Numpy Power Tutorial | Numpy.power() | np.power()

Introduction NumPy is a popular package for scientific computing in Python that has many functions for linear algebra operations on N-dimensional array objects. Numpy.power() is a function that is used to calculate the element-wise exponential or power of the NumPy array. In this tutorial, we’ll see its syntax, usage, and various aspects of the np.power() function along with multiple examples. Syntax of numpy.power() The syntax of numpy.power() function is as follows – numpy.power(x1, x2, out=None,    

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Numpy Square Root Tutorial | Numpy.sqrt() | np.sqrt()

Introduction Numpy is a powerful library in Python that offers support for multi-dimensional arrays and a vast collection of mathematical functions. Among these mathematical functions, the numpy.sqrt() function is very commonly used, as it calculates the square root of every element in the array. In this article, we’ll understand its syntax, usage, and various aspects of the numpy.sqrt() function along with various examples. Syntax of numpy.sqrt() The syntax of numpy.sqrt()function is quite simple as explained below.    

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Collaborators: Project InnerEye with Javier Alvarez and Raj Jena

GRETCHEN HUIZINGA: You’re listening to Collaborators, a Microsoft Research Podcast showcasing the range of expertise that goes into transforming mind-blowing ideas into world-changing technologies. I’m Dr. Gretchen Huizinga. [MUSIC ENDS] I’m excited to be talking today with Javier Alvarez and Dr. Raj Jena. Javier is a Senior Director of Biomedical Imaging at Microsoft Health Futures in Cambridge, UK, and part of Project InnerEye, a machine learning technology designed to democratize AI for medical image analysis across the spectrum from research […]

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