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7 Best Machine Learning Platforms to Help You Ace Your Next Project

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Machine learning and data science are growing in popularity, especially since machine learning algorithms were demonstrated to be able to make better predictions than human experts in some cases. Even if you have no experience with machine learning or artificial intelligence, it's likely that you've heard of both concepts before, even if you don't know exactly what they are or how they work. Machine learning allows computers to make accurate predictions based on previous data and experience, similar to the way humans learn new things and form memories. Not sure where to start? Let this guide help you find the best machine learning platforms on the market today!


Novel Systems Machine Learning Engineer

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STR's Analytics division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data sciences, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and are used by analysts to extract and enrich intelligence information around the globe. In the Machine Learning Engineer – Algorithms Lead role, you will lead teams that develop and evaluate statistical and machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets.


Deduce Healing with New Scientific Breakthroughs in Diagnostics - Coruzant Technologies

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Diagnosis is crucial to providing efficacious healthcare. Let's have a look at the history. Hippocrates (400 BCE) was the first to systemize the process of diagnosis based on a person's symptoms and medical history. About 2500 years later in 1895 the X-ray was discovered by Konrad Roentgen. With this invention, we could now watch radiation pass through the body, leaving shadows of the solid objects.


FL84: Head of Computational Biology

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Each day, the lives of more than 2 billion people across the globe are impacted by chronic diseases. Moreover, the economic burden on society of treating chronic disease is spinning out of control. Today, this dire situation appears unlikely to change as 95% of global healthcare costs are spent on treating rather than preventing chronic diseases. FL84, Inc. is a privately held early-stage company that is applying advanced biological and computational platforms to discover breakthroughs in detection of and intervention against the etiologies that drive progression from health to disease. Our goal is to leverage our proprietary platforms to disrupt the current approach of treating chronic disease too late.


Gadget News, Latest Technology News, Tech News, Gadgets Reviews, Mobile, Tablet, Laptop, Science, Social Media, Apps, Device News, Tech Reviews

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Tech giant MetaAhas created a single artificial intelligence (AI)-based model capable of translating across 200 different languages, including many not supported by current commercial tools. According to The Verge, the company is open-sourcing the project in the hopes that others will build on its work. The AI model is part of an ambitious R&D project by Meta to create a so-called "universal speech translator," which the company sees as important for growth across its many platforms -- from Facebook and Instagram to developing domains like VR and AR. Machine translation not only allows Meta to better understand its users (and so improve the advertising systems that generate 97 per cent of its revenue) but could also be the foundation of a killer app for future projects like its augmented reality glasses. Experts in machine translation told the website that Meta's latest research was ambitious and thorough, but noted that the quality of some of the model's translations would likely be well below that of better-supported languages like Italian or German.


Hivello Partners With Stock Exchange Listed DLTx To Expand Iot Hotspot Network

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Blockmate Ventures inc ("Blockmate" or the "Company") announces that its subsidiary Hivello has entered into a partnership with Web3 infrastructure company DLTx to expand the Hivello network of Internet of Things (IoT) hotspots. Based in Oslo and publicly listed on the Oslo Stock Exchange, DLTx specializes in protocols that provide predictable value both in utility and economics with a strong track record in identifying growth opportunities in the Web3 space. This includes their involvement in Bitcoin mining for many years as an early investor in one of the largest industrial scale Bitcoin mining operations in North America. By partnering with DLTx, Hivello will secure access to DLTx's suppliers, financiers, and management expertise which have been at the forefront of developing and launching 10 of the most important protocols in the blockchain space, including Ethereum. Hivello will issue equity to DLTx which will receive a 40% stake in Hivello while Blockmate retains the remaining 60%.


Autonomous vehicles are a dream for drug smugglers

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Level 5 autonomous vehicles (AVs) will allow shipping companies to significantly decrease their costs and their liability as they will no longer need long-haul truck drivers. However, this also applies to smugglers. Trafficking of drugs, people, weapons, and black market goods will all receive a boon from AVs. There will be a massive increase in vehicles on the road with the advent of fully-autonomous technology. Long-haul delivery vehicles could largely become operated with no passengers inside, and will likely not even have a place for a passenger.


Essential Statistical Tests For Statistical Significance in Machine Learning

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. It's free, we don't spam, and we never share your email address.


State of AI in Financial Services

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Recently, Nvidia released a new report called the State of AI in Financial Services. To learn more, I caught up with Pahal Patangia, Global Developer Relations Lead for Consumer Fintech at Nvidia. Below is the transcript of our conversation (slightly edited for clarity). Theodora: Now, I know oftentimes when we think about Nvidia, we think about graphics cards. Nvidia is also a full stack, accelerated computing platform company that has been in the financial services space for 15 years.


The Church of Artificial Intelligence of the Future - The Stream

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There is a church that worships artificial intelligence (AI). Zealots believe that an extraordinary AI future is inevitable. The technology is not here yet, but we are assured that it's coming. We will have the ability to be uploaded onto a computer and thereby achieve immortality. You will be reborn into a new, immortal silicon body.