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In the News
How algorithms rule our working lives
Employers are turning to mathematically modelled ways of sifting through job applications. Even when wrong, their verdicts seem beyond dispute – and they tend to punish the poor.
Google’s quantum dream may be close
Though still complex to master, quantum computing may transform the software industry in the not-too-distant future
Also in the news this week...
- There was Apple's keynote this week. Mostly hardware news. Interesting to see them start using dual lenses along with AI to transform the iPhone into a better camera. More
- Dubai launches robot lifeguard for public beaches. More
- Former Prime Minister of Norway is most recent public figure to express concerns over robots taking people's jobs. More
- LG's Amazon Echo competitor will finally include Alexa. More
Learning
Pinterest’s founder: Algorithms don’t know what you want
CEO Ben Silbermann says Pinterest is built on the idea that crowds of people are best at finding content that consumers care about.
100-year Artificial Intelligence Study, first report
Stanford University has invited leading thinkers from several institutions to begin a 100-year effort to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play. Here is their first report.
A technical primer on causality
What does “causality” mean, and how can you represent it mathematically? How can you encode causal assumptions, and what bearing do they have on data analysis?
Software tools & code
Keras code and weights files for popular deep learning models
Keras code and weights files for popular deep models.
Goods: organizing Google’s datasets
Hardware
AWS may launch P2 GPU-backed instances
The P2 instances are expected to include 16 Nvidia Tesla K80 GPUs, up to 64 vCPUs and up to 758 GiB of RAM.
IBM unveils Power8 Linux servers for deep learning
Collaboration between IBM and Nvidia
Some thoughts
How algorithms can destroy your chances of getting a job
The Guardian's published a long excerpt from Cathy O'Neil's essential new book, Weapons of Math Destruction, in which O'Neil describes the way that shoddy machine-learning companies have come to dominate waged employment hiring, selling their dubious products to giant companies that use them to decide who can and can't work.
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