The study of mathematical logic led directly to Alan Turing 's theory of computationwhich suggested that a machine, by shuffling symbols as simple as "0" and "1", could simulate any conceivable act of mathematical deduction. This insight, that digital computers can simulate any process of formal reasoning, is known as the Church—Turing thesis. Herbert Simon predicted, "machines will be capable, within twenty years, of doing any work a man can do".
June 13, in partnership with Context is critical. As what was once mere data evolves into actionable intelligence, the context that binds that data becomes ever more essential. We do concept searching. We are able to analyze tens of millions of documents and build relationships between concepts in all of those documents.
As the Brainspace engine parses and analyzes structured or unstructured data, it derives concepts and context from that data. We have built queries today that analyze and connect the concepts inside of hundreds of millions of documents that allow people to explore their big data in ways that have never been possible before.
That process helps human analysts determine the relative significance of particular documents during search and analysis.
The scale and speed at which Brainspace can ingest documents significantly differentiate it from its competitors, Copps notes. The Brainspace engine can also learn in multiple languages, he adds: Our platform not only learns natively in those languages, but automatically identifies phrases, increasing our ability to extract meaning in even the double-byte languages.
LexisNexis, a well-known provider of legal, government, and business documents, used the Brainspace engine to ingest and learn from every patent ever issued in the United States and Europe as well as from millions of journal articles—a total of more than million documents.
Conversing With Data Visual analytics is another unique facet of the Brainspace process. One example of this capability is showcased via document clustering.
We analyze them and group them into clusters. It allows you to navigate through the data set much like you can navigate the world via Google Earth.
The solution brings a large amount of data together in a visual representation, making it easier to understand. The user experience makes Brainspace that much more accessible, Copps adds. Through a meaningful user experience, we are creating the bridge between machine learning and human curation that enables enterprises to finally reach that understanding.
The user experience is simplified to the point where training can happen in minutes, as opposed to hours. As users click on a data cluster, other sub-clusters appear, taking users deeper into the details of their discovery.
Supporting litigation is where Brainspace really got its start. Seventy-five percent of the costs associated with discovery are tied to human review, and people are expensive. So by radically reducing the number of relevant documents early in the process, we are dramatically lowering the cost of review.
Another product based on the same core engine is Brainspace for Enterprise, which is re-inventing enterprise knowledge management. Brainspace for Enterprise, on the other hand, helps knowledge workers curate, collaborate, and discover information and people inside a dynamic learning environment.
Both products sit on top of the core Brainspace technology. Brainspace incorporates machine learning to supplement and support human analysis, Sathyanna explains.
It can help human analysts rapidly draw conclusions that might have been impossible to reach before—or, at the very least, to do so much faster.
|Your success is our business||Alamy When I think about the future of human-machine interactions, two entwined anxieties come to mind. First, there is the tension between individual and collective existence.|
|Leave a comment||Clandestine acquisition of photography, documents, and other material Overt collection by people overseas Debriefing of foreign nationals and U. They focus on acquiring information from individuals with access to vital foreign intelligence on the full range of national security issues.|
|The International Association of Science and Technology for Development||We can help you capitalize on the value of your data by providing proven processes, approaches and tools that drive business decisions and actions! Does it include all relevant factors?|
|Is technology a threat to human intelligence?||These disciplines take intelligence from signals intercepts and both manned and unmanned assets in response to an increasingly complex world posing threats to human assets on the ground.|
For more information on Brainspace, visit www. Want to go ad free? No ad blockers needed.Human intelligence (HUMINT) is defined as any information that can be gathered from human sources. The National Clandestine Service (NCS) is the branch of the CIA responsible for the collection of HUMINT.
Technology has allowed the military to rely less on human intelligence, or HUMINT, which puts the lives of spies and operators on the ground at risk, and procure aerial systems that provide myriad levels of intelligence.
Technology and Human Rights: Artificial Intelligence There is a possible future in which artificial intelligence drives inequality, inadvertently divides communities, and is even actively used to deny human rights.
Artificial intelligence: Artificial intelligence, the ability of a computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems with the ability to reason, discover meaning, generalize, or .
Fideisms Judaism is the Semitic monotheistic fideist religion based on the Old Testament's ( BCE) rules for the worship of Yahweh by his chosen people, the children of Abraham's son Isaac (c BCE)..
Zoroastrianism is the Persian monotheistic fideist religion founded by Zarathustra (cc BCE) and which teaches that good must be chosen over evil in order to achieve salvation.
The Guardian - Back to home. What does it mean to be human in the age of technology? Forget the hypothetical emergence of general purpose artificial intelligence, at least for a moment: we.