Source: Distributing malware by attaching tainted documents to emails is one of the oldest tricks in the book. It’s not just a theoretical risk—real attackers use malicious documents to infect targets all the time. So on top of its anti-spam and anti-phishing efforts, Gmail expanded its malware detection capabilities at the end of last year to include more tailored Read More
Tag: Machine learning
Source: indiaeducationdiary.in New Delhi: Digital loans and savings company Shubh Loans has announced the appointment of Dr. Venkatesh Madyastha as the Chief Data Scientist. Venkatesh is a data scientist with 13+ years of experience in research and data analysis. Before joining Shubh Loans, he was a principal data scientist with the data science R&D team Read More
Source: pharmanewsintel.com February 24, 2020 – With the prevalence of antibiotic resistance rapidly rising, a new study published in Cell is offering a more efficient, cost-efficient strategy for antibiotic discovery using machine learning. There is an innate need to discover new antibiotics due to the emergence of antibiotic-resistant bacteria. And antibiotics have become the cornerstone of modern medicine since the discovery Read More
Source: indiaeducationdiary.in New Delhi: Great Learning, India’s leading EdTech company for working professionals has launched a new program, the Data Science Fellows Program, aimed at providing unmatched learning and career outcomes to students and recent alumni (graduated less than 3 years ago) from the top 150 engineering colleges in the country. This competitive, seven-month program Read More
Google researchers use multiple cameras to reduce error rates for robot insertion and stacking tasks
Source: venturebeat.com Object-manipulating robots rely on cameras to make sense of the world around them, but these cameras often require careful installation and ongoing calibration and maintenance. A new study published by researchers at Google’s Robotics division and Columbia University proposes a solution, which involves a technique that learns to accomplish tasks using multiple color cameras without Read More
Source: technologynetworks.com Machine learning is helping Penn Medicine researchers identify the size and shape of brain networks in individual children, which may be useful for understanding psychiatric disorders. In a new study published today in the journal Neuron, a multidisciplinary team showed how brain networks unique to each child can predict cognition. The study—which used machine Read More
Source: analyticsinsight.net Does the success of companies like Google depend on that of the algorithms or that of data? Today’s fascination with artificial intelligence (AI) reflects both our appetite for data and our excitement about the new opportunities in machine learning. Amalio Telenti, Chief Data Scientist and Head of Computational Biology at Vir Biotechnology Inc. argue Read More
Source: intelligentcio.com Nedbank Insurance, part of the Nedbank Group that employs over 31,000 people across South Africa, has utilised Machine Learning and Design Thinking to help speed up how it processes emails. Challenge Today, every business has an email address. And if you’re a financial services organisation with many business sections and over a million Read More
Source: finance.yahoo.com SINGAPORE, Feb. 24, 2020 /PRNewswire/ — Microsoft today awarded Team Hollo from Hong Kong and Nutone from Japan the top prize following an intense finale against 8 other teams across the region at the 2020 Imagine Cup Asia finals. The competition is designed to inspire students to use their imagination and passion for technology to create innovative solutions that Read More
Source: analyticsindiamag.com Recently, Swift 6, the team behind Apple’s popular programming language Swift, announced that it is planning to open up the programming language for machine learning. Swift has already established itself when it comes to executing at the production level with faster speed than most of the languages. When one hears Swift, it probably takes them Read More
Source: gigabitmagazine.com. As the fuel that powers their ongoing digital transformation efforts, businesses everywhere are looking for ways to derive as much insight as possible from their data. The accompanying increased demand for advanced predictive and prescriptive analytics has, in turn, led to a call for more data scientists proficient with the latest artificial intelligence Read More
Source: analyticsinsight.ne The world is now heading into the Fourth Industrial Revolution, as Professor Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, described it in 2016. Artificial Intelligence (AI) is a key driver in this revolution and with it, machine learning is critical. But critical to the whole process is the need Read More
Source: dqindia.com From machine learning to smart sensors, today, social as well as economic ecosystems are surrounded by the dynamics of Artificial Intelligence (AI). Furthermore, the presence of robotics is perceived as a powerful catalyst for industrial productivity and economic growth. Artificial Intelligence in association with the other path-breaking technologies of the present times is Read More
Source: channels.theinnovationenterprise.com Data is the foundation of any machine learning model. Indeed, there are similarities between the data required for machine learning and any other data-centric project. In all kinds of projects, senior executives need to undertake proper levels of diligence to ensure that the data is reliable, consistent, and comprehensive. However, some data concerns Read More
Source: martechcube.com ZoomInfo, the global leader in go-to-market (GTM) intelligence solutions, today announced a new, more robust, strategic initiative around Artificial Intelligence (AI) and machine learning within its platform in order to enhance sales and marketing efficiency and performance at scale martech news. “ZoomInfo provides the most accurate and complete view of contact and company data Read More
Source: spectrum.ieee.org 3D printing is already being used to produce electric bikes, chocolate bars, and even human skin. Now, a new AI algorithm that learns each printer’s imprecisions can tweak print jobs to ensure greater accuracy. The engineers who developed the algorithm find it increases a 3D printer’s accuracy by up to 50 percent. That Read More
Source: thefastmode.com If you spend time digging into the Machine Learning offerings from vendors today in the Telecom Service Assurance space, you will see that many of these vendors are positioning for significant replacement of the existing Service Assurance tools that require a completely new user front-end. While this might sound enticing, it does not Read More
Source: solutionsreview.com Analyst house Gartner, Inc. recently released the 2020 version of its Magic Quadrant for Data Science and Machine Learning Platforms. Gartner defines this software space as enabling “expert data scientists, citizen data scientists and application developers to create, deploy and manage their own advanced analytic models.” The market is seeing rapid changeover as vendors incorporate Read More
Source: rtinsights.com One of the great promises of continuous intelligence (CI) is in its ability to provide decision support (augmenting the work of a human) or decision automation in reaction to real-time events. To realize the benefits CI can deliver in such applications requires predictive analytics and artificial intelligence (AI) algorithms that derive actionable information. Read More
Source: aithority.com Gartner has recognized SAS as a Leader in its 2020 Magic Quadrant for Data Science and Machine Learning Platforms. The report evaluated SAS for its completeness of vision and ability to execute. This is the seventh consecutive year for SAS to be recognized as a Leader in this Magic Quadrant. “Machine learning, and more broadly Read More
Source: analyticsindiamag.com From microelectronics to mechanics and machine learning, the modern-day robots are a marvel of multiple engineering disciplines. They use sensors, image processing and reinforcement learning algorithms to move the objects around and move around the obstacles as well. However, this is not the case when it comes to handling objects such as glass. Read More
Source: bu.edu Craving a bite out of a freshly grilled ballpark frank? Two robots named Jaco and Baxter can serve one up. Boston University engineers have made a jump in using machine learning to teach robots to perform complex tasks, a framework that could be applied to a host of tasks, like identifying cancerous spots Read More
Source: ciodive.com Like Spartan arrows blocking out the sun, imagine a slew of cyberattacks hitting a company’s defenses. Each attempt to breach through the gates symbolizes negative business outcomes. It’s a potentially unrecoverable wire transfer landing in an offshore account. It’s a trove of sensitive data sent to an impostor and sold in a corner of Read More
Source: poetsandquants.com From Wall Street trading floors to Amazon’s huge knowledge base on customer preferences to Tesla’s self-driving software to Major League Baseball’s analytics-driven front offices, Big Data—which, when connected to machine learning and/or artificial intelligence, aggregates massive datasets to analyze patterns of behavior and performance—appears to offer unlimited upside. As of 2015, information and Read More
Source: viterbischool.usc.edu Drones, specifically quadcopters, are an adaptable lot. They’ve been used to assess damage after disasters, deliver ropes and life-jackets in areas too dangerous for ground-based rescuers, survey buildings on fire and deliver medical specimens. But to achieve their full potential, they have to be tough. In the real world, drones are forced to Read More
Source: The terminology humans have conceived to explain and study our own brain may be mis-aligned with how these constructs are actually represented in nature. For example, in many human societies, when a baby is born either a “male” or a “female” box is checked on the birth certificate. Reality, however, may be less black Read More
Source: analyticsinsight.net The continuous advancements in technology and the increasing use of smart devices are leading tremendous growth in data. Considering reports, more than 2.5 Quintilian bytes of data are generated on a daily basis and it is expected that 1.7 Mb of data will be produced every second in the near future. This is Read More
Source: pulse2.com Aviso — a pioneer in AI-powered sales guidance and forecasting — announced it has appointed veteran artificial intelligence and machine learning researcher Joy Mustafi as Chief Data Scientist. Mustafi is a former Principal Researcher for Salesforce’s Einstein platform and he will utilize decades of experience to help Aviso customers accelerate deal-closing and expand Read More
Source: allaboutcircuits.com Machine learning’s ability to perform intellectually demanding tasks across various fields, materials science included, has caused it to receive considerable attention. Many believe that it could be used to unlock major time and cost savings in the development of new materials. The growing demand for the use of machine learning to derive fast-to-evaluate Read More
Source: gigabitmagazine.com Artificial intelligence (AI) relies on big data and machine learning for myriad applications, from autonomous vehicles to algorithmic trading and from clinical decision support systems to data mining. The availability of large amounts of data is essential to the development of AI. But the scandal over the use of personal and social data Read More