Most image-recognition systems are trained using large databases that contain millions of photos of everyday objects, from snakes to shakes to shoes. With repeated exposure, AIs learn to tell one type of object from another. Now researchers in Japan have shown that AIs can start learning to recognize everyday objects by being trained on computer-generated fractals instead.
The question really is not if, but when and where drone swarms, which is the next evolution of robotic warfare, will be utilised in real-time operations.
Computer-aided calculations have played a crucial part in producing the proofs of several high-profile results. And more recently, some mathematicians have made progress towards AI that doesn’t just perform repetitive calculations, but develops its own proofs. Another growing area has been software that can go over a mathematical proof written by humans and check that it is correct.
Algorithm named after mathematician Srinivasa Ramanujan suggests interesting formulae, some of which are difficult to prove true.
At the heart of the development of AI appears to be a search for perfection. And it could be just as dangerous to humanity as the one that came from philosophical and pseudoscientific ideas of the 19th and early 20th centuries and led to the horrors of colonialism, world war and the Holocaust. Instead of a human ruling “master race”, we could end up with a machine one.
The idea struck Robert Ietswaart, a research fellow in genetics at Harvard Medical School, while he was trying to determine how an experimental drug slowed the growth of lung cancer cells.
Is a postdoctoral scholar at Tufts University, where she conducts research in their Human Robot Interaction Lab (https://hrilab.tufts.edu/).
With a background in psychology and the social sciences, Dr. Chita-Tegmark is interested in topics at the intersection of technology and psychology, such as using artificial social agents in healthcare and the impact of such emerging technologies on human social interactions and well-being.
Dr. Chita-Tegmark has her Ph.D from Boston University in Psychology and Developmental Sciences, and she is an alumna of the Harvard Graduate School of Education, where she spent time studying role of social information in children’s lives, how social information influences the way children cooperate and engage in strategic decision-making, as well as on projects related to the development of social attention and language skills in children with Autism Spectrum Disorder (ASD).
Dr. Chita-Tegmark is also a Co-Founder of the Future of Life Institute (https://futureoflife.org/), a non-profit research institute and outreach organization that works to mitigate existential risks facing humanity, including those from advanced artificial intelligence (AI), to bio-engineering, to autonomous weapons, and to help promote positive uses of technology.
Researchers at Facebook have developed a framework, Vx2Text, that can generate captions by inferring from videos, audio, and text.
Unsurprisingly, artificial intelligence is a small part — albeit an important one — of a successful product management strategy.
The robots are sparing us the pains of tomorrow.
Picking up and examining pebbles of fuel is just the first step.
