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DARPA

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  • Machine Learning
  • Programming

Creating Your Own Programming Language

Among the thousands of programming languages in existence are hundreds of “domain-specific languages” (DSLs) that have been adapted from traditional languages so that non-programmers can do their work more efficiently. DSLs are used in a wide range of fields, from web development (HTML) and database management (SQL) to genetics and machine learning (TensorFlow). One challenge with DSLs is that they’re not always easy to create. In languages like C++ you usually have to hire an expert programmer to design the DSL by looking at programs you’ve written for your work to figure out common elements that should be incorporated, and…
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  • Artificial Intelligence
  • Technology

Explained: Levels Of Autonomy In Self-driving Cars

While autonomous cars have gained swift momentum since Leonardo da Vinci’s self-propelled cart circa 1500, the thought of going completely hands-free still feels slightly supernatural. These four-wheelers of the future use a combination of GPS for calculating longitude, latitude, speed, and course to navigate, LiDAR technologies, which use laser light pulses that map surroundings, and machine learning to see and understand — but to what degree depends on the level of autonomy. The windy road to driverless cars historically dates back to an early model created by Houdina Radio Control in 1925, with an ambitious experiment testing a radio-controlled automobile…
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  • Artificial Intelligence
  • Machine Learning

Intel Joins Georgia Tech In DARPA Program To Mitigate Machine Learning Deception Attacks

Intel and the Georgia Institute of Technology (Georgia Tech) announced that they have been selected to lead a Guaranteeing Artificial Intelligence (AI) Robustness against Deception (GARD) program team for the Defense Advanced Research Projects Agency (DARPA). Intel is the prime contractor in this four-year, multimillion-dollar joint effort to improve cybersecurity defenses against deception attacks on machine learning (ML) models. “Intel and Georgia Tech are working together to advance the ecosystem’s collective understanding of and ability to mitigate against AI and ML vulnerabilities. Through innovative research in coherence techniques, we are collaborating on an approach to enhance object detection and to…
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