That is really idea that computers are programmed to best
understand human language, not only human language, but legal language, and then knowledge graphs and other relationships are mapped so that we can build a more dynamic and interactive interplay between humans and computers.
Before ROSS, Jimoh worked on developing technology to enable autonomous vehicles and software that can
understand human language.
Natural language processing — getting the computer to
understand human language and interpret what that person actually means
They can learn to
understand the human language, but it takes time and repetition.
We don't really talk dog, and little puppies don't
understand human language (though they ultimately become expert at reading our body language); puppy classes help to adhere the bond and enhance communication.
Since she does not
understand human language and often misinterprets our body language, it is up to you to learn her language.
It isn't that dogs don't have good memories, it is just difficult for them to understand what behavior caused the problem when dogs don't
understand human language.
Some people insist that dogs do not
understand human language, although many researchers around the world have discovered that the average dog can learn anywhere from 100 to 250 individual words.
In a delightful Old Testament stroke, the only creatures in the jungle who speak as well as
understand human language are two snakes — a codger of a cobra who guards a lost city's treasure and a narcissistic python who likes to drawl, «I am bee - a-uuu-teeful.»
Where Watson must
understand human language, chess is written in the computer's mother tongue — math and probability.
I did find that they were suppose to be animals that
understood human language and hunters would chat to them.
«Teaching computers to
understand human languages.»
Not exact matches
It's not until advances in machine learning help bots develop a deeper
understanding of natural
human language will the real progress begin.
The (until now) uniquely
human ability to
understand the complexities of
language, multiplied by the speed of computational efficiency, results in a very effective response program.
Deep Text uses neural networks, a subset of AI and deep learning intended to mimic activity of the
human brain, to
understand written
language so that it can then act accordingly.
Thus, metaphors and models of God are
understood to be discovered as well as created, to relate to God's reality not in the sense of being literally in correspondence with it, but as versions or hypotheses of it that the community (in this case, the church) accepts as relatively adequate.16 Hence, models of God are not simply heuristic fictions; the critical realist does not accept the Feuerbachian critique that
language about God is nothing but
human projection.
Concerning God, Clement pursued two fundamental principles: that God is beyond the reach even of abstract
human language and therefore must be identified by what God is not, but that, at the same time, God must be
understood as «the omnipotent God» (Stromata, 1.24): «Nothing withstands God, nothing opposes Him: seeing He is [42] Lord and omnipotent» (1:17).
One possibility is that we are simply using this current
language to speak of the importance of the church's developing its doctrine of nature more fully and in ways appropriate to our new
understanding of the relation between
human beings and the natural world.
Even those who don't
understand a culture's
language are sometimes able to grasp the emotional significance of
human interactions by careful attention to nonverbal cues.
The fact that some animals can not reason or talk in
language we
understand should be as irrelevant to us as is the fact that some
humans in relation to whom we have ethical obligations — severely retarded children, for example — can neither reason nor talk.
Alternatively, one might say that religious symbols (or myths or narratives or
languages) so shape the way we
understand the world that they quite fundamentally form what we value for
human beings and the cosmos.
For Whitehead too,
language plays a crucial role in
understanding human experience.
The public needs to hear, in
language that nonscientists can
understand, the potential scientific, moral, legal, and social benefits, as well as the potential threats, posed by
human cloning.
Whitehead's use of assumptions dating back to Descartes and Locke in his account of perception leaves him vulnerable to the criticisms introduced by the revolution in philosophic method taking place at the time he was writing his major works, one in which the analysis of the functioning of
language was replacing psychological introspection as the principal method for
understanding human thought.
As it becomes aware of the specific form in which ultimate
human problems present themselves in our own time, the ministry, and therewith the schools that prepare men for it, begin to
understand more sharply what the pastoral function is, in what
language the gospel speaks to this need, and what form the Church must take in serving such men in such a time.
Instead of
understanding, as James le Fanu writes, that «the implications of mortality are intrinsic to a proper grasp of the
human experience», we choose to sanitise the things of death, including the
language we use to describe it (in Last Things, Tablet, 29 November 2014, p. 28).
He is convinced that the
language about God does not really add anything important to our
understanding of common
human experience.
is an impossibility for anyone who uses a
human language to
understand the Bible.
Scientific
language has replaced myth for the
understanding of physical phenomena, but it has not replaced poetry and art as the expression of the
human spirit.
His grounding of
language and meaning in the context of
human community and «form of life,» together with his
understanding of linguistic activity as multidimensional in character, goes a long way toward overcoming simplistic dichotomies between fact and value.
Whether they believe it was written by God / god or a
human author (let alone translated from one
language to another over many years and the interpretations of those words taught / passed down over many years with many different
understandings which formed with even the best intentions by men and women who were products of their time and place?)
-- Discover what eurythmy reveals about
human development — Work your way through the development of the child by means of exercises appropriate to each developmental phase — See how the Waldorf curriculum comes to life through movement and gesture — Learn about the interplay between eurythmy and academic experiences — Acquire the
language and
understanding to talk about eurythmy to Waldorf parents in a valuable way — Work, play, laugh, and have fun!
She gave them a unique, non-judgmental
language for
understanding human relationships based on the natural and vital bonds between us all.»
They are
human managed services but people, if only you would denominate it in
language that they commonly refer to, would
understand exactly what they are getting.
So
understanding how they and their extinct relatives diversified could open a window on how
language itself emerged among small social groups in the distant
human past.
In a broader sense, neuroscientists want to
understand how the
human brain creates and perceives
language, and entrainment has emerged as an important mechanism.
In revealing neural entrainment as a generalized strategy for improving sensitivity to informational peaks, this study takes significant steps toward advancing the
understanding of
human language and perception.
«
Understanding emotions expressed in spoken
language, on the other hand, involves more recent brain systems that have evolved as
human language developed.»
«The study of the Dravidian
languages is crucial for
understanding prehistory in Eurasia, as they played a significant role in influencing other
language groups,» explains corresponding author Annemarie Verkerk of the Max Planck Institute for the Science of
Human History.
«Already we know they can
understand a lot of
human language and sign
language.
In fact, it is a system years in the making, and perhaps the most impressive attempt ever to create a question - answering computer that
understands the nuances of
human language.
Rami Tzabar said the program «was inspired by a chance meeting with one of the contributors, the MIT linguist Shigeru Miyagawa, who talked about using animal behavior as a way of
understanding the evolution of
human language.
Rami Tzabar and Angela Saini of the British Broadcasting Corporation (BBC) won the Gold Award for radio reporting by exploring how animal models of vocal communication may be useful in
understanding how
human language might have evolved.
From the moment of birth
humans possess the capacity to make distinctions between speakers of their native
language and others, which helps
understand how infants and young children are tuned to quickly acquire the knowledge of their society and adopt to their cultural environment,» said Dr. Marno.
And this, in turn, should help Maye
understand the special
language - acquisition skills possessed by
human infants.
«As such, they offer unparalleled spatial and temporal resolution over other imaging technologies to help us achieve a better
understanding of complex and uniquely
human brain functions, such as
language,» adds Thesen, an assistant professor at NYU Langone.
Shreeve admits that «it would take decades or even centuries to completely
understand the
language of the code — how the tens of thousands of genes and their proteins interacted to create the biological symphony of a
human being.»
Inner voices, distant memories —
Understanding the
human mind is easy once you realise that consciousness is a trick of memory and self - awareness an illusion of
language
«Our finding, in a species so distantly related to
humans and lacking symbolic
language, raises numerous questions about the kinds of
understanding of «folk physics» and causality available to nonhumans, the conditions for these abilities to evolve, and their associated neural adaptations,» the authors conclude.
«They help us to
understand how the FOXP2 gene might have been important in the evolution of the
human brain and direct us towards neural mechanisms that play a role in speech and
language acquisition.»