Source: techcrunch.com Three former Uber engineers, who helped build the company’s Michelangelo machine learning platform, left the company last year to form Tecton.ai and build an operational machine learning platform for everyone else. Today the company announced a $20 million Series A from a couple of high-profile investors. Andreessen Horowitz and Sequoia Capital co-led the round with Martin Casado, general partner Read More
Category: Machine Learning
Machine Learning
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Source: analyticsindiamag.com We have seen machine learning transforming every field that it touches. The field of manufacturing, too, has witnessed many applications of data-driven solutions. Building rockets is unlike any other manufacturing job. For example, the cost and time it takes to build a decent rocket engine require a multitude of variables. These variables influence Read More
Source: cxotoday.com As the world becomes increasingly digital, we are unlocking more value and growth than ever before. However, a challenge that governments, enterprises and well as individuals leveraging technology are constantly facing is the growing threat of cyberattacks that looms large over us. Cyber security solutions provider SonicWall’s 2019 report revealed 10.52 billion malware attacks in Read More
Source: analyticsinsight.net Recently, a team of researchers at MIT discovered a powerful new antibiotic using machine learning algorithms. The antibiotic is named for the AI in 2001: A Space Odyssey, halicin. It successfully wiped out numerous bacterial strains, including some of the most dangerous drug-resistant bacteria on the World Health Organization’s most wanted list. After Read More
Source: analyticsinsight.net AI (ML) has been utilized for a long time in different industries to drive new business, increase productivity, reduce risk and improve consumer satisfaction. However, within data management, widespread adoption still can’t seem to progress. One issue is that use cases and capacities of ML related to data management are not constantly comprehended Read More
Source: analyticsindiamag.com The TensorFlow team at Google recently introduced a new tool for TensorFlow Lite (TFLite) known as Model Maker. The TFLite Model Maker simplifies the process of adapting and converting a TensorFlow Neural Network model to particular input data when deploying this model for on-device ML applications. Developed by researchers and engineers from the Google Brain Read More
Source: venturebeat.com MindsDB today announced it has raised $3 million to grow its automated machine learning platform made for data scientists and developers to quickly train and deploy models. The open source platform has been downloaded more than 250,000 times through Python pip installs or software with a graphic user interface and has been used by Read More
Source: thenextweb.com It looks like Google‘s working on some major upgrades to its autonomous machine learning development language ‘AutoML.’ According to a pre-print research paper authored by several of the big G’s AI researchers, ‘AutoML Zero’ is coming, and it’s bringing evolutionary algorithms with it. AutoML is a tool from Google that automates the process of Read More
Source: analyticsinsight.net In the past few years, machine learning has highlighted the strength of information technology in discovering the fundamentals of life and the environment. With the volume of data generated every day, it has become necessary to acknowledge smart analysis solutions to know more about the world we live in. In particular, machine learning Read More
Source: fintechmagazine.com How is artificial intelligence and machine learning changing the financial services industry? Imperva’s Grainne McKeever explains Artificial intelligence (AI) has become integrated into our everyday lives. It powers what we see in our social media newsfeeds, activates facial recognition (to unlock our smartphones), and even suggests music for us to listen to. Machine learning, a subset of Read More
Source: searchstorage.techtarget.com Nvidia’s recent acquisition of SwiftStack to bolster its artificial intelligence stack underscored the ways that object storage is expanding beyond backing up and archiving cold data. High-performance object stores are taking on artificial intelligence (AI), machine learning, analytics and container-based workloads, as enterprises try to gain insight into their unstructured data. Some use fast Read More
Source: manufacturingglobal.com There has been a considerable amount of hype around Artificial Intelligence (AI) and Machine Learning (ML) technologies in the last five or so years. So much so that AI has become somewhat of a buzzword – full of ideas and promise, but something that is quite tricky to execute in practice. At present, Read More
Source: phys.org Scientists and engineers are on a quest to develop electronic devices that are compatible with our bodies: think of materials that can help wire neurons back together after brain injuries, or diagnostic tools that can easily be absorbed within the body. A family of self-assembling peptides, called π-conjugated oligopeptides, has shown promise for becoming Read More
Source: hindustantimes.com There is absolutely no denying that machine learning is the future especially with the explosion in data that we see around us. Simply defined, machine learning the process of using AI to ‘learn’ from existing data to make decisions with minimal human interaction or explicit programming. There are plenty of use cases for Read More
Source: healthitanalytics.com April 06, 2020 – ONC is collaborating with NIH’s National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) to apply machine learning and artificial intelligence to patient-centered outcomes research (PCOR) on chronic kidney disease. Through a project called Training Data for Machine Learning to Enhance PCOR Data Infrastructure (the PCOR Machine Learning Project), ONC and NIDDK are seeking Read More
Source: techexplorist.com Scientists at the Center for Nanoscale Materials (CNM), a U.S. Department of Energy (DOE) Office of Science User Facility located at the DOE’s Argonne National Laboratory, have developed a new machine-learning algorithm that allows them characterizing 3D microstructures of materials in real-time. Within seconds, the algorithm tells the user the exact microstructure in all Read More
Source: aithority.com Treehouse Software, Inc. is pleased to announce an agreement with Google Cloud as a technology partner in the Google Cloud Partner Advantage Program. As a technology partner, Treehouse Software Inc. will now offer enterprise customers a comprehensive Mainframe-to-Google Cloud data replication and migration solution. This relationship provides Google Cloud customers with Treehouse’s combination Read More
Source: OctoML is charging ahead with its machine learning deployment software and on Friday announced a $15 million investment round to help support growth. The Seattle startup spun out of the University of Washington this past July, when it raised a $3.9 million seed round. Founded by a group of computer science experts, the company aims to Read More
Source: towardsdatascience.com Software engineering has blown up to encompass more than 1million employees in the US as of 2018 and is not forecasted to slow in growth. Next to come is the machine learning engineer, who takes an automation or decision making problem and applies cutting edge tools to it. With the pervasive nature of machine learning (particularly deep Read More
Source: phys.org Researchers from Tokyo Metropolitan University have used machine learning to analyze spin models, which are used in physics to study phase transitions. Previous work showed that an image/handwriting classification model could be applied to distinguish states in the simplest models. The team showed the approach is applicable to more complex models and found Read More
Source: semiconductorsindustry.com Researchers from ETH Zürich have declared that they’ve leveraged machine learning to build a low-cost tactile sensor. The sensor can measure force distribution in high resolution and with high accuracy. These features allow the robot arm to hold sensitive, fragile objects with more skill. Enabling robotic grippers to feel is essential to making them Read More
Source: healthitanalytics.com March 25, 2020 – Using machine learning algorithms, two data scientists are working to quickly discover effective treatments for COVID-19. Andrew Satz and Brett Averso, graduates of the Data Science Institute at Columbia University, have launched a startup called EVQLV that creates algorithms capable of computationally generating, screening, and optimizing hundreds of millions of therapeutic antibodies. Using Read More
Source: healthitanalytics.com March 24, 2020 – Researchers at the University of Massachusetts Amherst (UMass Amherst) have developed a portable surveillance tool that leverages machine learning and real-time data to monitor flu-like illnesses and flu patterns. The device, called FluSense, can detect coughing sounds and crowd size in real time, and could add to the collection of tools used to Read More
Source: towardsdatascience.com The following is based on my observations of machine learning teams — not an academic survey of the industry. For context, I’m a contributor to Cortex, an open source platform for deploying models in production. This March, Starsky Robotics—the popular autonomous trucking startup—announced they would be shutting down. In his post-mortem, founder Stefan Seltz-Axmacher explained Read More
Source: analyticsinsight.net The pace of improvement in quantum computing mirrors the fast advances made in AI and machine learning. It is normal to ask whether quantum technologies could boost learning algorithms: this field of inquiry is called quantum-improved machine learning. Quantum computers are gadgets that work dependent on principles from quantum physics. The computers that Read More
Source: securityboulevard.com When it comes to antivirus software, some vendors are hailing machine learning as the silver bullet to malware — but how much truth is there to these claims? In today’s post, we’re going to take a look at how machine learning is used in antivirus software and whether it really is the perfect Read More
Source: informationweek.com When chief information officers think about their organizations and where machine learning might be deployed, the process often begins with an inventory of tasks. The CIOs and department leaders identify routine, repeatable processes that humans can pass off to computers. Then the operations and IT teams set up targeted programs to make those Read More
Source: aithority.com Machine Learning is a popular expression in the innovation world at this moment, it represents a significant step forward in how PCs can learn. The requirement for Machine Learning Engineers is high in demand and this flood is due to evolving innovation and generation of huge measures of information known as Big Data. Automated Machine Learning consolidates Read More
Source: techiexpert.com 3i Infotech Limited, a global Information Technology company, launched AMLOCK Analytics, its advanced anti-money laundering (AML) solution powered by Artificial Intelligence (AI) and Machine Language (ML), which enables banks and financial institutions to identify complex and hidden AML patterns. It helps organizations to meet their most critical challenge of managing high false positives and provides Read More
Source: retaildive.com Artificial intelligence (AI) and machine learning (ML) are all the rage in retail marketing, mainly because of new challenges caused by high-dimensional data sources that were largely unheard of a few years ago. While exceptionally powerful, AI and ML are not without their criticisms, which include solution complexity, believing they can solve all Read More