Goto

Collaborating Authors

AI Classical Music Composer

#artificialintelligence

To generate classical music for composers, musicians, or even non-specialists without prior knowledge of classical music theories and backgrounds according to their favorite musical eras. Artificial Intelligence could bring music composition to another level with limitless possibilities as an assistant for human musicians or an AI musician itself.


Subscribe to the Amazon Science newsletter

#artificialintelligence

Job summaryWant to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world's AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems.


Pinaki Laskar on LinkedIn: #5G #artificialintelligence #IoT

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner The number of Internet of Things (IoT) devices worldwide is forecast to almost triple from 8.74 billion in 2020 to more than 25.4 billion IoT devices in 2030. In order to stabilize climate change, we need to hold Earth's temperature at 1.5 C above pre-industrial levels. This means we need to halve global greenhouse gas emissions by 2030 and reach net zero before 2050. On the frontline of digitalization lies 5G, itself an exponential technology, a platform enabling technologies such as #artificialintelligence (AI), blockchain, the internet of things (#IoT), quantum computing and extended reality (XR). The solutions are not hypothetical, they just need to be scaled up.


Our Avatars in Space

#artificialintelligence

THE NEW HORIZONS SPACE PROBE carried 30 grams of Clyde Tombaugh's ashes to commemorate Tombaugh's discovery of Pluto in 1930. The package is no different in its information content than 30 grams of cigarette ashes, since Tombaugh's unique genetic information was burnt up and never loaded on board. A proper celebration of Tombaugh's historic contribution could have taken the form of an electronic record of his DNA. The Principal Investigator of the mission, Alan Stern, told me that sending a stem cell with Tombaugh's genetic making would have triggered a bureaucratic nightmare at NASA. The challenge is even bigger for launching a complete human being in the form of an astronaut to a journey in space that lasts more than a few years.


Five Lines Of Code Could Change The Way We Think About AI - AI Summary

#artificialintelligence

Each robot "is very greedy and wants to do what they want to do." If they all work together, both robots can achieve their goal, but they can't communicate with the other robots in any meaningful way. But the AMOLF team wants to get away from that -- they wanted to stay as simple as possible, Overvelde says, in order to make the behaviors simple as well, because, "the more complex the behavior, it's hard to tell in the end what it's going to do." Abstract: One of the main challenges in robotics is the development of systems that can adapt to their environment and achieve autonomous behavior. By letting each unit adapt its behavior independently using a basic Monte Carlo scheme, the assembled system is able to learn and maintain optimal behavior in a dynamic environment as long as its memory is representative of the current environment, even when incurring damage. As a result, such a distributed learning approach can be easily scaled to larger assemblies, blurring the boundaries between materials and robots, paving the way for a new class of modular "robotic matter" that can autonomously learn to thrive in dynamic or unfamiliar situations, for example, encountered by soft robots or self-assembled (micro)robots in various environments spanning from the medical realm to space explorations.


Edge AI: enabling Deep Learning and Machine Learning with Edge computers

#artificialintelligence

The number of connected devices collecting data is continually expanding. This requires more storage and computational capacity and more Artificial Intelligence (AI) to be brought at the Edge: Eurotech combines rugged embedded and Edge computers, computational power and IoT components to enable Edge AI. By bringing these high-performance computing capacity to the Edge, Eurotech enables Artificial Intelligence (AI) applications directly on field devices. They are able to process data autonomously and perform Machine Learning (ML) in the field and apply Deep learning (DL) models and algorithms for advanced autonomous applications, such as Autonomous Driving. The virtually unlimited capacity of the Cloud can be integrated with sophisticated and high-performance Edge Computers in the field, enabling the "Intelligent Edge".


9 Awesome Resources and Tools for Data Science and Machine Learning

#artificialintelligence

I have the habit of indexing many of the interesting tools and resources I find online. I will admit that sometimes I exaggerate, but the idea with this is to keep track of as many practically useful resources as I can to be able to come back to it as needed.


Can artificial intelligence become addicted?

#artificialintelligence

In 1953, a Harvard psychologist thought he discovered pleasure – accidentally – within the cranium of a rat. With an electrode inserted into a specific area of its brain, the rat was allowed to pulse the implant by pulling a lever. It kept returning for more: insatiably, incessantly, lever-pulling. In fact, the rat didn't seem to want to do anything else. Seemingly, the reward centre of the brain had been located.


New AI-based tool helps clinicians understand and better predict adverse effects of COVID-19

#artificialintelligence

The symptoms and side effects of Covid-19 are scattered across a diagnostic spectrum. Some patients are asymptomatic or experience a mild immune response, while others report significant long-term illnesses, lasting complications, or suffer fatal outcomes. Three researchers from the Georgia Institute of Technology and one from Emory University are trying to help clinicians sort through these factors and spectrum of patient outcomes by equipping healthcare professionals with a new "decision prioritization tool." The team's new artificial intelligence-based tool helps clinicians understand and better predict which adverse effects their Covid-19 patients could experience, based on comorbidities and current side effects -; and, in turn, also helps suggest specific Food and Drug Administration-approved (FDA) drugs that could help treat the disease and improve patient health outcomes. The researcher's latest findings are the focus of a new study published October 21 in Scientific Reports. The team's new methodology, or tool, is called MOATAI-VIR (Mode Of Action proteins & Targeted therapeutic discovery driven by Artificial Intelligence for VIRuses.


How Moveworks' AI platform broke through the multilingual NLP barrier

#artificialintelligence

Chatbots have a checkered past of often not delivering the performance their providers have promised. This is especially true in the IT service management (ITSM) and multilingual NLP spaces, where service desks found support teams deluged with complaints -- yes, about the support chatbots. Just getting English language nuance right and how enterprises communicate often require chatbots to be custom programmed with constraint and logic workflows supported with natural language processing (NLP) and machine learning. If that sounds like a science project, it is, and IT users are the test subjects. Because of their complexity, chatbots were contributing to already overflowing trouble-ticket queues.