MACHINE LEARNING ALGORITHMS USED TO DECODE AND ENHANCE HUMAN MEMORY
When it comes to brain measurements, the best recordings come from inside the cranium. But people—and institutional review boards—aren’t usually amenable to cracking open skulls in the name of science. So Kahana and his colleagues collaborated with 25 epilepsy patients, each of whom had between 100 and 200 electrodes implanted in their brain (to monitor seizure-related electrical activity). Kahana and his team piggybacked on those implants, using the electrodes to record high-resolution brain activity during memory tasks.
Read moreFIBER IS GOOD FOR YOU. NOW SCIENTISTS MAY KNOW WHY
A diet of fiber-rich foods, such as fruits and vegetables, reduces the risk of developing diabetes, heart disease and arthritis. Indeed, the evidence for fiber’s benefits extends beyond any particular ailment: Eating more fiber seems to lower people’s mortality rate, whatever the cause. Source: nytimes.com
LARGE SCALE NOSQL DATABASE MIGRATION UNDER FIRE
The following post describes how we migrated a large NoSql database from one vendor to another in production without any downtime or data loss. The following methodology has worked for us and has been proven to be safe and simple. I am sure that there are several techniques for migrating NoSql databases, but here are some guidelines for doing so with minimal risk, while maintaining the ability to rollback at almost any point in the process.
Read moreRECREATING THE SELF-DRIVING EXPERIENCE: THE MAKING OF THE WAYMO 360° VIDEO
Today we’re introducing a Waymo 360° experience — an immersive video that recreates in full detail a self-driving ride. Go ahead: take control of the camera to see through the “eyes” of our car and take a ride in a Waymo yourself. On mobile, just move your phone around to explore — or use it with a virtual reality headset like Cardboard for a more immersive experience. If you’re on desktop, just drag the video around your screen.
Read moreBONSAI AI: USING SIMULINK FOR DEEP REINFORCEMENT LEARNING
Simulink provides a great training environment for DRL as it allows 3rd parties like Bonsai to integrate and control simulation models from the outside. This ability is one of the basic requirements for simulation platforms to be feasible for Deep Reinforcement Learning using Bonsai AI. More requirements can be found here. Source: towardsdatascience.com
HOW DO DRONE LIGHT SHOWS WORK?
MRS is a new initiative of the IEEE RAS Technical Committee on Multi-Robot Systems, and it’s intended to bring together researchers who are in the field of multi-robot systems (MRS) and multi-agent systems (MAS). “Typically MRS/MAS research is spread across large conferences, so the intent of this more focused conference is to bring those researchers together to highlight the best in the field and learn more from each other,” said Dr.
Read moreTHE BIRTH OF A.I.
Waze famously disrupted GPS navigation by crowdsourcing user data from mobile phones, instead of purchasing costly sensors tied to city infrastructure, as Nokia had done before them. Waze then scaled with low overhead costs by using machine learning algorithms to find precise traffic patterns that optimized each user’s route. The end result of this dynamic was massive layoffs at Nokia, and Google’s acquisition of / integration with Waze in 2013.
Read moreDEMYSTIFYING QUANTUM GATES — ONE QUBIT AT A TIME
If you want to get into quantum computing, there’s no way around it: you will have to master the cloudy concept of the quantum gate. Like everything in quantum computing, not to mention quantum mechanics, quantum gates are shrouded in an unfamiliar fog of jargon and matrix mathematics that reflects the quantum mystery. My goal in this post is to peel off a few layers of that mystery. But I’ll save you the suspense: no one can get rid of it completely.
Read moreHOW TO PLAY QUIDDITCH USING THE TENSORFLOW OBJECT DETECTION API
Image classification using convolutional neural networks (CNNs) is fairly easy today, especially with the advent of powerful front-end wrappers such as Keras with a TensorFlow back-end. But what if you want to identify more than one object in an image? Source: freecodecamp.org
MACHINE LEARNING WORKFLOW ON DIABETES DATA : PART 01
This article will portray how data related to diabetes can be leveraged to predict if a person has diabetes or not. More specifically, this article will focus on how machine learning can be utilized to predict diseases such as diabetes. By the end of this article series you will be able to understand concepts like data exploration, data cleansing, feature selection, model selection, model evaluation and apply them in a practical way.
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