Source – https://www.analyticsinsight.net/ Pharmaceutical professionals believe artificial intelligence (AI)will be the most disruptive technology in the industry in 2021. As AI and machine learning (ML) become crucial tools for keeping pace in the industry, clinical development is an area that can substantially benefit, delivering significant time and cost efficiencies while providing better, faster insights to inform decision Read More

Read More

Soucr:- http://bweducation.businessworld.in/ In times like now, we have an increasing amount of modern technological advancement all over the world. Some say it’s a blessing and some argue calling it a curse. Though, the idea of development gets a huge boost when there is an efficient approach to the technology involved. Many sectors across the world Read More

Read More

Source – https://www.analyticsinsight.net/ Data annotation is the process of labeling data to make it easy for machines to access it. Why did humans start making machines? The immediate answer would be to make a mechanical and computerised model that works like humans. Yes, humans wanted machines to imitate whatever they do. The purpose of artificial intelligence is Read More

Read More

Source – https://analyticsindiamag.com/ Most NLP researchers prioritise the development of deep learning models over the quality of training data. The relative lack of attention results in training data picking up spurious patterns, social biases, and annotation artefacts.  Data curation is the organisation and integration of data collected from multiple sources. The process involves authentication, archiving, management, preservation Read More

Read More

Source – https://www.analyticsinsight.net/ Machine intelligence is the combination of AI and ML Serving dishes, controlling traffic, performing surgeries on humans – think of these and the first impression is that you cannot do without humans here. The situation now seems to have undergone a 360 degree transformation. Gone are the days when every task that Read More

Read More

Source – https://www.analyticsinsight.net/ A study finds image analysis using machine learning can identify haematological malignancies. Image analysis is typically used to extract meaningful information from images. It can perform tasks like finding shapes, identifying edges, removing noise, counting objects, etc. for image quality. Recently, a study demonstrated that image analysis utilizing neural networks can help detect details in Read More

Read More

Source – https://www.analyticsinsight.net/ Today, AI and ML are transforming the face of education technology. Today, AI and ML (Artificial Intelligence, Machine Learning) are creating havoc in a number of fields and industries, including education. As per report of Ideamotive, according to Market Research Engine, the global AI in the education market will reach $5.80 billion by 2025 at a compound annual Read More

Read More

Source – https://www.datanami.com/ These are heady days in data science and machine learning (DSML) according to Gartner, which identified a “glut” of innovation occurring in the market for DSML platforms. From established companies chasing AutoML or model governance to startups focusing on MLops or explainable AI, a plethora of vendors are simultaneously moving in all Read More

Read More

Source – https://www.analyticsinsight.net/ As known to many, Google has recently released Model Search which is an open-source platform. This caters to developing efficient and best machine learning models automatically. Rather than focusing on a particular domain, Model Search is domain agnostic and flexible beyond imagination. Well, not just that. To our surprise, it is even Read More

Read More

Source – https://venturebeat.com/ Gartner’s Magic Quadrant report on data science and machine learning (DSLM) platform companies assesses what it says are the top 20 vendors in this fast-growing industry segment. Data scientists and other technical users rely on these platforms to source data, build models, and use machine learning at a time when building machine learning applications Read More

Read More

Source – https://www.iotforall.com/ Artificial Intelligence, Machine Learning, and Deep Learning are terms that often overlap with each other and are easily confused. Let’s discuss all three in detail and go through their applications and uses. Artificial Intelligence Have you ever noticed how effortlessly we calculate the environment around us and keep learning from past experiences? Read More

Read More

Source – https://analyticsindiamag.com/ API economy has already established itself as a precursor of digital transformations and the primary way to grow an ecosystem. “API monetisation and API first strategies have become a new normal with businesses with digital maturity.” Last year’s pandemic catalysed digital maturity across organisations. The niche markets found even more niche business Read More

Read More

Source – https://www.analyticsinsight.net/ AI and ML in intelligent analytics can drive the efficiency in business Analytics has been changing the way organizations operate for a long while. Since more organizations are dominating their utilization of analytics, they are diving further into their data to build proficiency, acquire a more prominent upper hand, and lift their bottom Read More

Read More

Source – http://www.businessworld.in/ New Delhi [India], January 25 (ANI/Mediawire): Become a winning professional with practical knowledge on Artificial Intelligence (AI) & Machine Learning (ML). The UGC-approved Diploma in AI & ML by University of Hyderabad and Applied Roots (Formerly known as Applied AI Course) is now open for enrolment. Highly recommended, affordable program with immense practical value, it is Read More

Read More

Source: expresscomputer.in Every year with the growth in new technologies and inventions there have been an astounding growth in volume of intellectual property literature. Internationally, this data has to be gathered, stored, and classified in multiple formats and languages so that it can be used as and when required. However, data alone does not create Read More

Read More

Source: expresscomputer.in Mobilewalla works especially with devices such as mobile phones. They believe that this is one of the primary reasons why AI will work phenomenally well and would be creating a spread prediction analysis to trace people faster and arrest the spread. However, does merely deploying technology like AI, Big Data and Machine Learning Read More

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

Read More

Source: infoq.com Microsoft’s Azure Machine Learning team recently open-sourced their contribution to the ONNX Runtime library for improving the performance of the natural language processing (NLP) model BERT. With the optimizations, the model’s inference latency on the SQUAD benchmark sped up 17x. Senior program manager Emma Ning gave an overview of the results in a Read More

Read More

Source: financialexpress.com Google’s platform — Google Developers Launchpad to help startups grow will now support social impact startups in India. The platform has partnered with startup accelerator Social Alpha to help such startups with mentorship, tools, and methodologies for growing businesses. The tie-up will help the incubator develop learning programmes for startups based on information from a select Read More

Read More

Source:- insights.dice.com For years, the sheer messiness of data slowed efforts to launch artificial intelligence (A.I.) and machine learning projects. Companies weren’t willing to wait a year or two while data analysts cleaned up a massive dataset, and executives sometimes had a hard time trusting the outputs of a platform or tool built on messy data. Data pre-processing is a Read More

Read More

Source – hindustantimes.com Facebook is turning to machine-learning technologies to amplify the impact of human fact-checkers reviewing hoax news articles, as part of the company’s efforts to combat the spread of misinformation on its platform. The social network announced Thursday it was starting to use automated systems to identify duplicates of fake news articles previously flagged by Read More

Read More

Source – moneycontrol.com Google has made its machine learning education program available to everyone— from researchers to developers and companies, to students. The Learn with Google AI portal which was earlier exclusive to Google employees, called Googlers, is now available to everyone else with an interest in the field. Anyone, from novice to an expert, can learn the Read More

Read More

Source – forbes.com We deal with a lot of data every day, but the way we deal with it is changing rapidly. Increasingly, machine learning (ML) and artificial intelligence (AI) are cropping up as solutions for handling data. The two are often used interchangeably, and although there are some parallels, they’re not the same thing. The Read More

Read More

Source – chiefmarketer.com What does machine learning (ML) really mean for marketers? Here’s three key facts you need to know. 1.Machine learning isn’t new.  Machine learning, a method for transforming data into practical knowledge through the application of computer programs that automate the process of statistical modeling and data mining, has been around for a while. A lot of Read More

Read More

Source – arstechnica.com Machine learning (ML) based data analytics is rewriting the rules for how enterprises handle data. Research into machine learning and analytics is already yielding success in turning vast amounts of data—shaped with the help of data scientists—into analytical rules that can spot things that would escape human analysis in the past—whether it be Read More

Read More

Source – forbes.com Industrial Internet of Things (IIoT) is already revolutionizing domains such as manufacturing, automobiles and healthcare. But the real value of IIoT will be realized only when Machine Learning (ML) is applied to the sensor data. This article attempts to highlight how ML augments IIoT solutions by bringing intelligent insights. Cloud computing has been Read More

Read More
Artificial Intelligence