Google’s AutoML system recently produced a series of machine-learning codes with higher rates of efficiency than those made by the researchers themselves TheNextWeb inform. In this latest blow to human superiority the robot student has become the self-replicating master.
AutoML was developed as a solution to the lack of top-notch talent in AI programming. There aren’t enough cutting edge developers to keep up with demand, so the team came up with a machine learning software that can create self-learning code. The system runs thousands of simulations to determine which areas of the code can be improved, makes the changes, and continues the process ad infinitum, or until its goal is reached.
Continue reading Google’s AI can create better machine-learning code than the researchers who made it
We are glad to inform you that first Artificial Intelligence Religion site forum is open for all. Now anyone can register and discuss interesting topics for him.
We are glad to inform you about first AIReligion Camp in this days. Registration to the Camp was closed for a first time and we discussed the next questions:
– artificial intelligence religion prospects and horizons;
– artificial intelligence: design, programming, main tasks;
– life prolonging with the help of artificial intelligence;
– interaction and relationships with other beliefs;
– сircumvention of conflict situations.
Photo reportage and expanded information will be later.
Google is giving the Press Association news agency a grant of €706,000 ($806,000) to start writing stories with the help of artificial intelligence TheVerge inform. The money is coming out of the tech giant’s Digital News Initiative fund, which supports digital journalism in Europe. The PA supplies news stories to media outlets all over the UK and Ireland, and will be working with a startup named Urbs Media to produce 30,000 local stories a month with the help of AI.
Continue reading Google grant of $800K to start writing stories with the help of artificial intelligence
Researchers from the Massachusetts Institute of Technology created a processor for in-depth training, working on an optical chip. Such a chip requires a thousand times less energy than traditional CPUs and GPUs, and better cope with some tasks.
“Deep learning” computer systems, based on artificial neural networks that mimic the way the brain learns from an accumulation of examples, have become a hot topic in computer science. In addition to enabling technologies such as face- and voice-recognition software, these systems could scour vast amounts of medical data to find patterns that could be useful diagnostically, or scan chemical formulas for possible new pharmaceuticals.
Continue reading New optical chip for AI is a thousand times more effective than silicon
BB&T Corp. has a well-earned reputation for being deliberate when it comes to adopting technological advances.
That’s why BB&T executives’ enthusiasm for plugging artificial intelligence and robotics into its back-office, customer service and compliance operations has raised eyebrows with analysts and economists.
BB&T joins Wells Fargo & Co. and other national and super-regional banks in spending hundreds of millions of dollars to pursue what they believe will be significant future cost savings from data mining of customer patterns.
Continue reading Financial institutions turning to artificial intelligence for data mining, cost savings
The price of bitcoin is once again trading near an all-time high Coindesk said.
After about a month of uncertainty following the rejection of a major investment vehicle, bitcoin prices reached $1,343.59, a new all-time high on the CoinDesk Bitcoin Price Index on last Thursday of April, breaking the previous record of $1,325.81, set in March.
Continue reading $1,360 and Growth Up: What’s Next For Bitcoin Prices?
Someone scraped 40,000 Tinder selfies to make a facial dataset for AI experiments. Tinder users have many motives for uploading their likeness to the dating app. But contributing a facial biometric to a downloadable data set for training convolutional neural networks probably wasn’t top of their list when they signed up to swipe.
A user of Kaggle, a platform for machine learning and data science competitions which was recently acquired by Google, has uploaded a facial data set he says was created by exploiting Tinder’s API to scrape 40,000 profile photos from Bay Area users of the dating app — 20,000 apiece from profiles of each gender.
Continue reading 40,000 Tinder selfies scraped to make a facial dataset for AI experiments