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Is Imperfect A.I. Going To Take Over The World And Then Malfunction!?

#artificialintelligence

Recently there's been quite a lot of talk about artificial intelligence. More specifically, the news has been covered with self learning and life like A.I./robots. From Microsofts @TayAndYou and Hanson Robotics's Sophia to Cornell's Self Walking Robot and ICTA, Australia's Self Cooking Robotโ€ฆit has become mainstream. There's no stopping the coming of self learning/intelligent robots so I think it's best we discuss their potentially incredible uses, as well as their potentially devastating flaws. It's really important that we take AI seriously.


Artificial intelligence

#artificialintelligence

Daniel Faggella Crunch Network Contributor Daniel Faggella is founder of TechEmergence, a news and advice website for entrepreneurs and investors interested in the intersection of technology and the mind. How to join the network "Science has not yet mastered prophecy. We predict too much for the next year and yet far too little for the next ten." Everything You Know About Artificial Intelligence is Wrong. Will the Singularity Artificial General Intelligence winners be Hedge Fund Managers, the Military and Spy Agencies?


Can't find love? Your POSTURE might be to blame: Spreading your arms and making yourself appear wider in photos improves your success rate on Tinder

Daily Mail - Science & tech

People try all sorts to impress others with their online dating profiles. But posing on a mountain or next to a puppy, although favoured by many, might not be the most effective way to woo someone. A new study shows that the way to impress with your dating profiles is make yourself appear as wide as possible. A new study has found that the way to impress at first sight is to make yourself appear as wide as possible. A group of researchers in the US showed that people are rated more attractive when they take a wide stance.


This week in L.A. tech: Three Day Rule lands funding, Snapchat snags encryption expert and Surf Air flies north

Los Angeles Times

Three Day Rule, a matchmaking service with headquarters in Santa Monica, has raised 650,000 from the Dallas Angels Network investment group and 550,000 from several wealthy individuals. The company's 20 matchmakers -- spread across seven cities -- use software and intuition to find potential partners for customers, who pay about 4,000 for three months of assistance. Three Day Rule identifies matches from its own database, which includes people who have signed up free of charge at networking events, industry conferences and on the firm's website. But the pool goes beyond that. JDate, Christian Mingle and OkCupid allow Three Day Rule to choose from people listed on those dating websites too.


Playstation VR: Sony considering making headset compatible with PC to take on Oculus Rift and HTC Vive

The Independent - Tech

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display


Dangers of Using RMSE: Netflix Case Study

@machinelearnbot

A year into the competition, the Korbell team won the first Progress Prize with an 8.43% improvement. They reported more than 2000 hours of work in order to come up with the final combination of 107 algorithms that gave them this prize. And, they gave us the source code. We looked at the two underlying algorithms with the best performance in the ensemble: Matrix Factorization (which the community generally called SVD,Singular Value Decomposition) and Restricted Boltzmann Machines (RBM). SVD by itself provided a 0.8914 RMSE, while RBM alone provided a competitive but slightly worse 0.8990 RMSE.


Build software better, together

#artificialintelligence

Repository search looks through the projects you have access to on GitHub. Code search looks through the files hosted on GitHub. Issue search looks through issues and pull requests on GitHub. User search finds users with an account on GitHub.


Twitter buys a machine learning company to better study your tweets

#artificialintelligence

Twitter thrives on its ability to understand both your tweets and the hot topic of the day, and it needs every bit of help it can get -- including from computers. Accordingly, the social network just snapped up Whetlab, a startup that makes it easier to implement machine learning (aka a form of artificial intelligence). The two companies are shy about what the acquisition means besides an improvement to Twitter's "internal machine learning efforts." However, the likely focus is on highlighting the content that's most relevant to you based on your activity and who you follow, as well as hiding abusive tweets before you have to reach for the "block" option. Whetlab's technology could get the ball rolling on these robotic discovery techniques much faster than before, and give you a custom-tailored Twitter experience that requires little effort on your part.


Collaboration, containers & AI: Trends in open source reflected by "Rookies of the Year"

#artificialintelligence

Since 2008, Black Duck has done an annual review of the world of open source to recognise top new projects launched during the previous year. The selection committee is made up of members of our Product Management and Product Marketing teams with data analysis help from the team that manages Black Duck's OpenHub.net Our goal is to leverage Black Duck's unique insight, as a company that has amassed a KnowledgeBase of nearly a million and a half open source projects, to shed light on projects that might not otherwise be on the radar of mainstream tech media. The 2015 Black Duck Open Source Software "Rookies of the Year" were announced in early March 2016 and marks the eighth year of the awards. Much has changed in open source since our first awards in 2008.


IBM: Games, A.I. & the Future of Cognitive Computing

#artificialintelligence

Developing AI programs to master board games drove progress in the field -- including advances in techniques for search algorithms and evaluation functions. However, research in such "clean" game domains did not really address most real-life tasks that have a "messy" nature. Real-world tasks typically pose additional challenges, such as ambiguous, hidden or missing data, and "non-stationarity," meaning that the task can change unexpectedly over time. IBM is now turning our attention to solving these real-world challenges. IBM Research scientists Murray Campbell, Gerry Tesauro, and Eric Brown discuss "Extending Game-Based AI Research into the Wild."