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Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
By Susan Etlinger,
Industry Analyst,
Altimeter, a Prophet Company
ai artificialintelligence chatbots machinelearning
Applied Machine Learning Days, January 29-30, 2018
@STCC, EPFL, Lausanne, Switzerland
#AMLD2018 @appliedmldays
Copyright: ©Samuel Devantery - www.samueldevantery.com
This photo was captured at the 2018 edition of Great Indian Developer Summit (#gids18), April 24-28, Bangalore, India.
The winter 2016 meeting was hosted by the Volatility Institute at New York University's Stern School of Business. This meeting featured sessions on the role of the housing market in the macroeconomy, the impact of big data and machine learning on macroeconomic research, and the potential of innovation contests to push macroeconomic modeling into new and exciting territory.
Infiniteconf 2017 - the conference on Big Data and Fast Data. skillsmatter.com/conferences/7983-infiniteconf-2017-the-c.... Images Copyright www.edtelling.com
Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
Generated by MidJourney for Aaron Ximm, v3 engine, late July 2022; prompt: "a freestanding multistory looming ramshackle Victorian house with queer angles, cinematic, moody, lost in the mist, --ar 9:16 --s 1700"
Machine Growth is a series of AI-driven videos that imagines and images a biological-like life for everyday technologies, by creatively morphing them into, for example, trees, house plants, flowers, fish, or coral. Cassette tapes, phones, cameras, headphones, projectors, typewriters, and other electronic waste are “alive” in as much as they grow and spread, consume and break down, diffuse waste and minerals, shift power and stories into and around the world – literally and metaphorically. This series visually compares and contrasts electronic and biological vitality, asking:
What will digital media be and do, after us?
How will our devices weather or grow over time?
What else might our techno-waste be, and how might we sense and feel this?
Where might electronics lead our environmental and economic politics?
Can we plan and act toward new and different futures?
Machine Growth is priced to own at .05 ETH via opensea.io/collection/machine-growth. The series is almost complete, with three final pieces still in production. The series presents the potentials of alternate life cycles for what we use and throw out, what it might grow into, and how the Earth may (or may not) claim it.
Infiniteconf 2017 - the conference on Big Data and Fast Data. skillsmatter.com/conferences/7983-infiniteconf-2017-the-c.... Images Copyright www.edtelling.com
Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned. Deep learning is just a subset of machine learning. It technically is machine learning and functions in a similar way.
To know more visit: www.jigsawacademy.com/pgpdm/