I'm a musician and serial entrepreneur, was trained as classical pianist, and studied for a master's in music and philosophy. As a business executive, I have over 20 years of experience, leading several innovations from inception and product strategy to development and product management, to commercialization in global markets. My track record includes closing successful deals with global vendors, mobile operators, and content companies, as well as winning global awards and prizes. Across the past five years, Amit Sternberg has been driving innovation around music, health and technology. Sternberg's newest company, Rubato, is currently in its seed stage.

Home care is often singled out for being slow to embrace and implement technology, but as the demand for care services grows, providers are forced to think outside of the box when it comes curbing caregiver turnover. San Francisco-based home care startup Honor understands this all too well, according to CEO Seth Sternberg. The company is using insights gleaned from machine learning to examine and address turnover internally and with its network of home care partners. Honor, which has raised $115 million since launching in 2014, teams up with independently owned and operated agencies by taking over caregiver recruiting, onboarding and training, in addition to day-to-day logistics. Currently, the company operates in Arizona, California, New Mexico and Texas.

Home care agencies might want to think twice about how they handle workers who are chronically late to client visits. "When we started Honor, we thought, clearly, if a care pro is late, that's terrible," Seth Sternberg, CEO of the San Francisco-based company, told Home Health Care News. "And then we learned that's not true." That counterintuitive lesson about late workers came from analyzing data gathered through Honor's proprietary technology platform. About three years after launching, Honor now is looking closely at its data and adjusting operations accordingly, in a variety of ways.

Creativity is sometimes taken to be an inexplicable aspect of human activity. By summarizing a considerable body of literature on creativity, I hope to show how to turn some of the best ideas about creativity into programs that are demonstrably more creative than any we have seen to date. I believe the key to building more creative programs is to give them the ability to reflect on and modify their own frameworks and criteria. That is, I believe that the key to creativity is at the metalevel. In the AAAI-1998 Presidential Address, for example, David Waltz said that creativity is a key topic for AI research because it is an essential element of human intelligence (Waltz 1999).

To ensure we do not forget relevant aspects of AI, we The field of Artificial Intelligence (AI) is fertile: it is at the present some key works which have already focused on same time the root of the dreams and deceptions of many defining (artificial) intelligence in Section 2. We then highlight people, a common feature in science fiction, and various the potential lack of cross-fertilisation they may be subject technical projects in many domains of application. Although to in Section 3 and consider the definition of human we may appreciate the rich emotions and ideas brought by expertise to draw a definition of human intelligence in Section a concept such as AI, some people are seriously working on 4. Next, we generalise these definitions to cover also artificial it in an attempt to produce autonomous agents able to meet agents in Section 5 and provide more details about the the various needs of different users. These projects, however, domain-generic data and processes of our definition of intelligence have faced several troubles and unfulfilled promises in in Section 6. We rely further on the expertise field in the history of the field, leading to shortenings of funding Section 7 by describing three kinds of measures of expertise, and years of research efforts lost (Franklin 2014). Despite mapping them to existing measures of intelligence, and suggesting the presence of "intrepid researchers" to advance the field, directions to investigate. Finally, Section 8 expands from an industrial point of view such projects were abandoned the discussion to a novel conception of the field of AI as a and considered as failures.

This paper is a survey of a large number of informal definitions of ``intelligence'' that the authors have collected over the years. Naturally, compiling a complete list would be impossible as many definitions of intelligence are buried deep inside articles and books. Nevertheless, the 70-odd definitions presented here are, to the authors' knowledge, the largest and most well referenced collection there is.

Creativity is sometimes taken to be an inexplicable aspect of human activity. By summarizing a considerable body of literature on creativity, I hope to show how to turn some of the best ideas about creativity into programs that are demonstrably more creative than any we have seen to date. I believe the key to building more creative programs is to give them the ability to reflect on and modify their own frameworks and criteria. That is, I believe that the key to creativity is at the metalevel.