The Singularity Is Near: When Humans Transcend Biology
By Raymond C. Kurzweil. 2006
1,695 citations recorded by the source corpus.
Subfields: Reproductive Medicine
View Paper: https://www.semanticscholar.org/paper/84fb458d203612139cee7df732bcf2b196577a45
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Reproductive Medicine
- João Guerreiro
- Sandra Maria Correia Loureiro
- L. Rachel
- Aditya G. Parameswaran
- Adam Marcus
- Ben Goertzel
- Selma Sabanovic
- Vincent C. Müller
Citations in the corpus
- Are Low Real Interest Rates Here to Stay (2017, background): “Some, such as Kurzweil (2005) even argue we are about to enter a phase of unprecedented growth, fueled by artificial intelligence and robotics.”
- The Nature of Self-Improving Artificial Intelligence (2008, background): “Several breakthroughs are required for this transition to occur, but Ray Kurzweil’s analysis of technological trends [2] suggests that it might come as soon as the next few decades.”
- Engaging rational discrimination: exploring reasons for placing regulatory constraints on decision support systems (2010, neutral): “4 Kurzweil (2005).”
- Story Generation from Sequence of Independent Short Descriptions (2017, background): “According to the classical denition [14], a strong AI based nlg system should perform language generation in the same manner, expressing similar levels of creativity, originality and brevity as humans.”
- A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT) (2015, background): “…achieved by the year 2045 or not, as forecast by futurist Ray Kurzweil in his famous book “The Singularity is Near: When Humans Transcend Biology” [ 44 ] or whether “life [of “The World in 2030”] will be unrecognisable compared with life today” [ 45 ], our life is increasingly becoming digitalized…”
- Future Progress in Artificial Intelligence: A Survey of Expert Opinion (2025, background): “Two main questions about this development are when to expect it, if at all (see Bostrom, 2006; Hubert L. Dreyfus, 2012; Kurzweil, 2005) and what the impact of it would be, in particular which risks it might entail, possibly up to a level of existential risk for humanity (see Bostrom, 2013; Müller,…”
- Robots in Society, Society in Robots - Mutual Shaping of Society and Technology as a Framework for Social Robot Design (2010, background): “”(8) Ray Kurzweil proposes that the law of accelerating returns will solve the digital divide as well as “disease, poverty, environmental destruction, unnecessary suffering of all kinds,” and finally supersede biological evolution [20].”
- INFORMATION HAZARDS: A TYPOLOGY OF POTENTIAL HARMS FROM KNOWLEDGE (2011, neutral): “Too much knowledge can be bad for some types of memory.(31) Perhaps some mental illnesses result from inappropriate cross‐talk between cognitive modules designed to operate as more encapsulated units—a kind of undesirable internal information dissemination.”
- From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018, neutral): “This means that this technology has the potential to evolve in unexpected ways (Kurzweil 2005).”
- Crowdsourced Data Management: Industry and Academic Perspectives (2015, background): “It is widely acknowledged that we are at least several decades away from this goal [162, 120].”
- Reframing AI Discourse (2017, background): “Computational artefacts are unpredictable because humans don’t and can’t know the input on which the operation of the artefact depends.”
- The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms (2017, background): “The timing and expected impact of the AI Revolution: Kurzweil predicted that computers will reach human intelligence around 2029 (Kurzweil, 2005) while Singularity will come by 2045.”
- Artificial General Intelligence: Concept, State of the Art, and Future Prospects (2009, methodology): “Ray Kurzweil (Kurzweil, 2005) has used the term “narrow AI” to refer to the creation of systems that carry out specific “intelligent” behaviors in specific contexts.”
- Harnessing neuroplasticity for clinical applications (2011, neutral): “Improved means to access the brain might allow improved CNS signal measurement as well as increased reliance on direct brain–computer interactions (Kurzweil, 2005).”