Defense Advanced Research Projects AgencyTagged Content List

Algorithms

A process or rule set used for calculations or other problem-solving operations

Showing 30 results for Algorithms + Data RSS
07/11/2018
Machine learning (ML) systems today learn by example, ingesting tons of data that has been individually labeled by human analysts to generate a desired output. As these systems have progressed, deep neural networks (DNN) have emerged as the state of the art in ML models. DNN are capable of powering tasks like machine translation and speech or object recognition with a much higher degree of accuracy. However, training DNN requires massive amounts of labeled data–typically 109 or 1010 training examples. The process of amassing and labeling this mountain of information is costly and time consuming.
09/07/2018
Over its 60-year history, DARPA has played a leading role in the creation and advancement of artificial intelligence (AI) technologies that have produced game-changing capabilities for the Department of Defense. Starting in the 1960s, DARPA research shaped the first wave of AI technologies, which focused on handcrafted knowledge, or rule-based systems capable of narrowly defined tasks. While a critical step forward for the field, these systems were fragile and limited.
10/11/2018
Today’s machine learning systems are more advanced than ever, capable of automating increasingly complex tasks and serving as a critical tool for human operators. Despite recent advances, however, a critical component of Artificial Intelligence (AI) remains just out of reach – machine common sense. Defined as “the basic ability to perceive, understand, and judge things that are shared by nearly all people and can be reasonably expected of nearly all people without need for debate,” common sense forms a critical foundation for how humans interact with the world around them.
11/16/2018
Throughout DARPA’s history, artificial intelligence (AI) has been an important area of groundbreaking research and development (R&D). In the 1960s, DARPA researchers completed some of the foundational work in the field, leading to the creation of expert systems, or the first wave of AI technologies. Since then, DARPA has funded developments in the second wave of AI – machine learning – which has significantly impacted defense and commercial capabilities in areas such as speech understanding, self-driving cars, and image recognition.
09/26/2019
Computing performance has steadily increased against the trajectory set by Moore’s Law, and networking performance has accelerated at a similar rate. Despite these connected evolutions in network and server technology however, the network stack, starting with the network interface card (NIC) – or the hardware that bridges the network/server boundary – has not kept pace. Today, network interface hardware is hampering data ingest from the network to processing hardware. Additional factors, such as limitations in server memory technologies, memory copying, poor application design, and competition for shared resources, has resulted in network subsystems that are creating a bottleneck within the network stack and are throttling application throughput.