A deep learning program can identify cells with higher metastatic potential based on the way they look and move.
Scientists have developed a method to determine which tumor cells are most likely to metastasize efficiently to distant sites in the body. Assaf Zaritsky, now at Ben-Gurion University in Israel, and his colleagues in Gaudenz Danuser’s lab at UT Southwestern Medical Center designed a deep learning program that analyzes data from live phase-contrast imaging of melanoma cells taken from xenografts—mice implanted with patients’ tumor material. The program determined “the most representative morphological and behavioral properties of each melanoma cell and then demonstrated that this representation of the cell state can be used to predict in stage III melanoma excised from the lymphatic system the chances of progression to stage IV,” Zaritsky writes to The Scientist in an email. The scientists presented their “quantitative live cell histology” results at the American Society for Cell Biology / EMBOmeeting in San Diego on Monday (December 10).
Bias and prejudice remains a serious issue across many societies, take away human input and the result could be disastrous.
IBM is stepping in with a tool it calls ‘Fairness 360’ which scans for signs of bias in algorithms to recommend adjustments on how to correct them.
AIs already have a documented bias problem. It’s rarely intentional, but typically a result of their developers coming from the predominant part of each society.
Take facial recognition software, for example.
Continue reading IBM releases tool for tackling scourge of bias in AI algorithms
DARPA shows it’s not just about creepy robots with a $2 billion funding announcement for various AI projects over the next five years.
The so-called ‘Defense Advanced Research Projects Agency’ researches a range of innovative new technologies. Many of these advancements will have an impact beyond defence.
As such, DARPA’s funding initiative will be open to applications beyond the defence community. That means any AI project you’re involved with could be in the running to receive a nice cash boost.
Continue reading DARPA is pumping $2bn into AI projects
The world financial system entered a new phase of innovation transformation using new information technologies with the development of cryptocurrencies. The new digital decentralized system was created during 9 years in the form of a mining, support and maintenance infrastructure with calculations, bidding, placement and creation of new projects. The new innovative system of modernity was created together with cryptocurrency and other technologies, such as artificial intelligence (AI), that will have a decisive influence on the development of the global financial system in the postindustrial and informational economies of the world. Rapid expansion of automation with AI development posed a problem of determining the size and payment of basic income for the population, which will be deprived in the coming years of a large number of workplaces. The combination of the flow of all these processes and their consideration as a single system is relevant to the study, which will allow for the development of common strategies for their evaluation.
Continue reading CRYPTOCURRENCY, ARTIFICIAL INTELLIGENCE AND BASIC INCOME
Research has found most consumers have interacted with AI and would prioritise businesses with human-like implementations.
The research, from Capgemini’s Digital Transformation Institute, found close to three-quarters (73 percent) of consumers have interacted via AI.
Satisfaction with those who have experienced AI interactions is slightly lower, at 69 percent. Over two-thirds satisfaction is quite surprisingly high, especially when you consider how dissatisfied people typically are with traditional automated systems.
Continue reading Consumers want businesses to have more human-like AI
The most basic problem is that AI researchers often don’t share their source code. At the AAAI meeting, Odd Erik Gundersen, a computer scientist at the Norwegian University of Science and Technology in Trondheim, reported the results of a survey of 400 algorithms presented in papers at two top AI conferences in the past few years. He found that only 6% of the presenters shared the algorithm’s code. Only a third shared the data they tested their algorithms on, and just half shared “pseudocode”—a limited summary of an algorithm. (In many cases, code is also absent from AI papers published in journals, including Science and Nature.)
Continue reading The development of artificial intelligence is hampered by programmers who hide their code
So, year 2017 comes to an end and we can publish some results.
This year was a first AIReligion summer camp. We discussed the next questions:
– artificial intelligence religion prospects and horizons;
– artificial intelligence: design, programming, main tasks;
– life prolonging with the help of artificial intelligence;
– interaction and relationships with other beliefs;
– сircumvention of conflict situations.
Continue reading Artificial Intelligence Religion Results of the Year 2017