Jeffrey Epstein's tangled web leads down some surprising paths, including, he claimed, to Sophia the robot. The female robot styled after Audrey Hepburn made headlines in recent years for her eerily lifelike skin and appearance, complete with a diverse set of facial expressions, and the artificial intelligence she uses to spout off quotes like "OK. She also got in a Twitter fight with Chrissy Teigen. In a new essay detailing a journalist's friendship with Jeffrey Epstein over the past three decades, Edward Jay Epstein (the two are not related) says the wealthy financier told him in April 2013 that he was funding a Hong Kong group to build "the world's smartest robot," named Sophia. Sophia was built by Hanson Robotics, a Hong Kong company created and led by David Hanson. In a statement shared with Business Insider, Hanson denied that Epstein ever directly contributed funding to either Sophia or Hanson Robotics. "With all of our software efforts, both inside Hanson Robotics, and via collaboration with universities and other institutions, we seek to further our mission to empower socially intelligent AI and robots that enrich the quality of human lives.
The ultimate vision of artificial intelligence are systems that can handle the wide range of cognitive tasks that humans can. The idea of a single, general intelligence is referred to as Artificial General Intelligence (AGI), which encopmasses the idea of a single, generally intelligent system that can act and think much like humans. However, we have not yet achieved this concept of the generally intelligent system and as such, current AI applications are only capable of narrow applications of AI such as recognition systems, hyperpersonaliztion tools and recommendation systems, and even autonomous vehicles. This raises the question: Is AGI really around the corner, or are we chasing an elusive goal that we may never realize? Dr. Ben Goertzel CEO & Founder of the SingularityNET Foundation is particularly visible and vocal on his thoughts on Artificial Intelligence, AGI, and where research and industry are in regards to AGI. Speaking at the (Virtual) OpenCogCon event this week, Dr. Goertzel is one of the world's foremost experts in Artificial General Intelligence.
Of all the aspects differentiating lifelong learning from shorter-term, more specialized learning, perhaps none is more central than forgetting — or, to frame the issue more generally and technically, "memory access speed deprioritization." This extended abstract reviews some of the ideas involved in forgetting for lifelong learning systems, and briefly discusses the forgetting mechanisms used in the OpenCog integrative cognitive architecture.
The concept of Artificial General Intelligence (AGI) that is able to carry out tasks and understand the world in the way that humans do has been around since 2005 when it was first mooted by Dr Ben Goertzel and Cassio Pennachin in their book Artificial General Intelligence. A new collaboration between network specialist Cisco and AI company SingularityNET brings practical AGI a step closer, with a commitment to developing applied technologies and customer solutions. SingularityNET's AGI technologies include a custom version of the OpenCog AGI engine, along with a variety of unique deep neural net technologies for vision, language and other data types, and a decentralized blockchain-based platform suited for deployment of AI technologies across all markets. "These corporate investments into AGI are occurring not only out of a desire to spur rapid progress toward important research and humanitarian goals, but also because AGI capability is expected to provide tremendous commercial benefit to whomever develops it," says Dr Goertzel. "This benefit may initially take the form of a generation of'Narrow AGI' systems that infuse general intelligence into products in specific vertical markets like, say, advertising, medical research, computer networking or financial analytics."
Goertzel, Ben (Novamente LLC) | Pitt, Joel (Hong Kong Polytechnic University) | Wigmore, Jared (Hong Kong Polytechnic University) | Geisweiller, Nil (Novamente LLC) | Cai, Zhenhua (Xiamen University) | Lian, Ruiting (Xiamen University) | Huang, Deheng (Xiamen University) | Yu, Gino (Hong Kong Polytechnic University)
The hypothesis is presented that "cognitive synergy" -- proactive and mutually-assistive feedback between different cognitive processes associated with different types of memory -- may serve as a foundation for advanced artificial general intelligence. A specific AI architecture founded on this idea, OpenCogPrime, is described, in the context of its application to control virtual agents and robots. The manifestations of cognitive synergy in OpenCogPrime's procedural and declarative learning algorithms are discussed in some detail.