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1 month ago | 
cacm.acm.org | Saurabh Bagchi
We left off in Part 1 with arguments for why industry has become the place for major leaps in AI, though with several notable exceptions, both historical and ongoing. In Part 2, we will consider the counterpoints that make it attractive for doing AI security work in academic lanes and bylanes.
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1 month ago | 
cacm.acm.org | Saurabh Bagchi
Making the case for academia, and for industry, as the best place to do AI research. A question that has been asked in our circles for a few years is, what is the best place to do AI research, academia or industry? An insightful Science article from 2023 by Neil Thompson and colleagues at MIT shed light on part of this question.
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2 months ago | 
arxiv.org | Xiang Li |Sameh Elnikety |Saurabh Bagchi
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Nov 22, 2024 | 
cacm.acm.org | Saurabh Bagchi |R. Colin Johnson |Mark Halper |Karen Emslie
Saurabh BagchiEverything You Always Wanted to Know About PCs, But Were Afraid to Askhttps://bit.ly/4e4JoAxAugust 30, 2024Okay, PCs in the title could be Political Correctness or Personal Computers or even Peace Corps. But it is not. It stands for Program Committees. As researchers, in academia or industry, we often are asked to serve on Program Committees of conferences in our fields of expertise.
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Nov 11, 2024 | 
cacm.acm.org | Joel Adams |Alex Williams |Saurabh Bagchi |Shuchi Grover
The second week of each December, Computer Science Education Week introduces K-12 students to computer science. This timing was chosen to commemorate the birthday of Grace Murray Hopper, December 9, 1906. Rear Admiral Hopper is well known to the CS community for her many contributions to computing. For those who never saw her, I recommend her 1986 television appearance on ‘Late Night with David Letterman’ where her personality shines through.
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Nov 8, 2024 | 
cacm.acm.org | Alex Williams |Saurabh Bagchi |Shuchi Grover
Many developers and project managers focus on building functional code and shipping products rapidly, while overlooking the importance of maintaining detailed, precise, and comprehensive documentation. However, robust documentation plays a pivotal role in ensuring the long-term success of software projects.
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Nov 8, 2024 | 
cacm.acm.org | Esther Shein |Saurabh Bagchi |Shuchi Grover |Logan Kugler
There are things in life that are subjective, like beauty, taste, emotions, and feelings. However, when it comes to judging in competitive sports, decisions have become a lot more cut and dried, thanks to the use of artificial intelligence (AI) systems. Several sports organizations have been using AI to judge certain aspects of their competitions and games for years, but as the systems become more sophisticated, more are jumping on the bandwagon.
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Nov 6, 2024 | 
cacm.acm.org | George Neville-Neil |Saurabh Bagchi |Shuchi Grover |Logan Kugler
Dear KV, A recent small project at work required me to use JavaScript, and I was surprised to find the following note in the documentation (see https://bit.ly/3Bz3hC0) for a code that sets a timeout: “Also note that if the value isn’t a number, implicit type coercion is silently done on the value to convert it to a number—which can lead to unexpected and surprising results; see Non-number delay values are silently coerced into numbers for an example.” It is commonly accepted that languages...
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Nov 4, 2024 | 
cacm.acm.org | Saurabh Bagchi |Shuchi Grover |Logan Kugler
The mobile app Google Play Store and the Apple App Store are the gifts that keep on giving to Google and Apple, respectively. [I will use the lower-case “app stores” to refer to the generic portals, while capital case will refer to the specific one from Apple.] They generate revenue for the duopoly of Google and Apple through the fees assessed from all app developers for all in-app purchases, subscriptions, or paid downloads.
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Sep 5, 2024 | 
cacm.acm.org | Sandrine Ceurstemont |Alex Williams |Saurabh Bagchi
Several years ago, a group of researchers from OpenAI, one of the leading artificial intelligence research labs in the world, noticed a surprising phenomenon when they were training a neural network. These models typically gradually learn general features and relationships from the data they are trained on, called generalization.
