Issue 93: CognitionX Data Science, AI and Machine Learning Briefing


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Today we see research showing an algorithm can now outperform its own training and at the other end of the spectrum a robot helps make artisan pizza. Euromoney
report that risk assessment and research are areas Financial Institutes are most likely to experiment and Microsoft announce their partnership with OpenAI making it easier to make a bot while I’ve been watching as a bored data scientist uses ML to find Wally.

Best

Tabitha UntilTheBotsTakeOver Goldstaub

Research

New AI algorithm taught by humans learns beyond its training

University of Toronto Researchers have designed an algorithm that learns directly from human instructions, rather than an existing set of examples, and outperformed conventional methods of training neural networks by 160 per cent. But more surprisingly, their algorithm also outperformed its own training by nine per cent — it learned to recognize hair in pictures with greater reliability than that enabled by the training, marking a significant leap forward for artificial intelligence.

Business Impact of AI

How disruptive will AI and machine learning be on the Financial Industries?

Research from Euromoney Institutional Investor Thought Leadership surveyed 424 senior executives from financial institutions around the world.

They report that the most dramatic changes will be felt in the areas of trading, financial analysis and IT, according to 64%, 60% and 60% of respondents respectively (see chart 1). Large numbers also expect machine learning to materially affect risk assessment (59%), credit assessment (57%) and investment portfolio management (52%). Risk assessment and financial research are the areas where companies are most likely to experiment with machine learning applications in the next three years.

Another Example of “Robots taking humans jobs”

There is a lot to learn from these Pizza making robots

Apparently, we don’t want our food to look like it’s made by robots. Zume has taken particular care to ensure that: the machine they are commissioning to press the dough will create three slightly different shapes. Because the tomatoes are hand-crushed, the consistency of the sauce changes, so Marta the robot spreads it differently with every pie — “perfectly but not too perfectly”, said Collins.

Open

Microsoft befriends OpenAI
Microsoft announces”We are advancing our ambition to democratize artificial intelligence” by partnering with OpenAI, a nonprofit AI research organization co-founded by Elon Musk, Sam Altman, Greg Brockman and Ilya Sutskever.

They are also are introducing the Azure Bot Service. With this new service, developers can accelerate the development of bots with the Microsoft Bot Framework and deploy and manage them in a serverless environment.

Deal of the Day

Want to join Scotland’s £17bn data revolution?

Scottish data innovation centre, Data Lab, is offering 90 MSc places for 2016/17 across seven Scottish universities, more than double the places funded across three universities previously.

All students on The Data Lab MSc are being offered a paid, credit-bearing three-month industrial placement. Sign up!

Business Impact

How Cern’s data science is helping supermarkets waste less food

BlueYonder is helping retailers use data to make informed predictions about the future and automate their decision-making processes. Could the financial industries be next? Agriculture?

Coding Experiments

Here’s Waldo: Computing the optimal search strategy for finding Waldo (Wally to us Brits)

As with so many things in life, the joy of finding Waldo is in the journey, not the destination. But if you really need to find Waldo faster than something else check this. Randy Olson decided to pull out every machine learning trick in his tool box to compute the optimal search strategy for finding Waldo.

Future of AI

ARTIFICIAL INTELLIGENCE AND LIFE IN 2030 ONE HUNDRED YEAR STUDY ON ARTIFICIAL INTELLIGENCE 

This Stanford report looks at eight domains they considered most salient: transportation; service robots; healthcare; education; low-resource
communities; public safety and security; employment and workplace; and entertainment. In each of these domains, the report both reflects on progress in the past fifteen years and anticipates developments in the coming fifteen years.

I’ve been making some changes based on Feedback. Would love to hear from more of you. Please do click to share your thoughts

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