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The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

arXiv.org Artificial Intelligence

Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast, I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible.


Elon Musk warns AI like the kind used in Tesla's autopilot should be regulated by international law

Daily Mail - Science & tech

Tesla and SpaceX CEO, Elon Musk, says that AI like the one his companies make should be better regulated. Musk's opinion on the dangers of letting AI proliferate unfettered was prompted by a report published in MIT Technology Review about changing company culture at OpenAI, a technology company that helps develop new AI. Elon Musk formerly helmed the company but left due to conflicts of interest. The report claims that OpenAI has shifted from its goal of equitably distributing AI technology to a more secretive, funding-driven company. 'OpenAI should be more open imo,' he tweeted.


Einstein's favourite childhood toy is set to fetch up to £46,000 at auction

Daily Mail - Science & tech

Albert Einstein's favourite childhood toy that he cherished all his life will go up for sale next month for £46,000 ($60,000). The German game, titled'Perlen Mosaik Spiel' (Mosaic Pearl Game), consists of 520 coloured beads that can be inserted into a punch-hole frame to create patterns. The game shows some general signs of wear and tear, including minor chipping to the title label and'intriguing' pencil markings inside the box, which may represent his first autograph. The board game would have been cherished by the young and gifted physicist, who went on to win the 1921 Nobel Prize in Physics. Seller Bonhams New York describes the set as'a rare and joyous Einstein artefact of museum quality' and'an essential learning tool for the young genius'.


The Future of Ubersuggest

#artificialintelligence

Do you know why I got into SEO? Not many people know this, but I grew up in middle-class America, and I wanted a better life for me and my parents. When I was 16 years old, I worked at a theme park called Knotts Berry Farm where I picked up trash, cleaned restrooms, and swept up vomit every single day. I didn't mind it because that's life and I needed the money. At 16, I realized I was too young to get a high paying job, so I did the next best thing… I started a business.


Hands-On Machine Learning on Google Cloud Platform: Implementing smart and efficient analytics using Cloud ML Engine: Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier: 9781788393485: Amazon.com: Books

#artificialintelligence

Alexis Perrier is a data science consultant with a background in signal processing and stochastic algorithms. A former Parisian, Alexis is now actively involved in the D.C. data science community as an instructor, blogger, and presenter. Alexis is also an avid jazz and classical music fan, a book lover and proud owner of a real chalk blackboard on which he regularly tries to share his fascination with mathematical equations with his 3 children. He holds a Master in Mathematics from Université Pierre et Marie Curie Paris VI, a Ph.D. in Signal Processing from Telecom ParisTech and currently resides in Washington D.C. Giuseppe Ciaburro holds a PhD in environmental technical physics and two master's degrees. His research was focused on machine learning applications in the study of the urban sound environments.


Using Machine Learning Techniques for Fraud Detection: Machine prediction or Anomaly detection or Behavioral analytics Saksoft

#artificialintelligence

Every now and then, there is a fraudulent activity masquerading as the original – no exception to the business world. And if fraud detection is about dealing with smokes and mirrors with barely any room for errors, then Machine learning and AI have grown into reckoned technology forces giving enterprises the hope of clearing the smoke and smashing the mirror. Given the most complex of a situation – to decide whether it is a fraud being perpetrated or an original one being conducted– and the need to combat even the most-modern fraud tricks, organizations across Banking, Fintech, Insurance, Retail and other industries are using machine learning techniques for fraud detection to unearth subtle fraud patterns, detect anomalies as well as suspicious behaviors, and prevent fraud. In using machine learning techniques for fraud detection, what sets the prerogative for using machine prediction or anomaly detection or behavioral analytics? Now, when we are entrusted with this fraud detection and prevention task, data would be the first stop to frame the solution strategy.


Urban Stories #8: The Creative Algorithm

#artificialintelligence

As part of art-meets-tech collective Telemagic, Roos Groothuizen created the project'Concert in A.I.', a series of concerts where self-learning musical algorithm'AlgoRhythmics' is the host, conductor, instrument and musician. Arran Lyon was involved in the project as one of the coders. With the concerts, they search for new insights in music, creation, space and visual design. How do they look at the end result? Andreas Refsgaard is an artist and creative coder based in Copenhagen who uses algorithms and machine learning to make unconventional connections between inputs and outputs.



How can AI reinvent couture?

#artificialintelligence

With headlines everywhere focusing on disposable plastics and air travel emissions, it's clear that our individual, everyday purchasing choices--from what we eat to how we get around--impact the world around us. But how about what we wear? According to the UN Alliance for Sustainable Fashion, apparel manufacturing produces 20% of the world's water waste and up to 10% of its carbon output and sends more than 21 billion tons of textiles to landfills each year. But it's also a $2.4 trillion dollar industry that employs more than 60 million people worldwide. Considering this scale and impact, the industry is at a crossroads, devising disruptive technologies, rethinking business models, and searching for innovation at every step -- design, production, distribution, and reuse.


#cloudcomputing_2020-02-17_06-41-37.xlsx

#artificialintelligence

The graph represents a network of 2,185 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 14:42 UTC. The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 2-day, 0-hour, 29-minute period from Thursday, 13 February 2020 at 12:00 UTC to Saturday, 15 February 2020 at 12:30 UTC.