Source: cnbc.com For a long time, American space exploration was a closed circle: There was just one customer, the U.S. government (NASA) and a handful of giant defense contractors. Then in 2008 Elon Musk’s SpaceX put the first privately-financed rocket into orbit, Jeff Bezos’ Blue Origin promised private flights, and space was suddenly a lively Read More
Source: analyticsinsight.net The explosion of Big data has resulted in many new opportunities for the organizations leading to a rapidly increasing demand for consumption at various levels. The big data applications are generating an enormous amount of data every day and creating scope for analysis of these datasets leading to better and smarter decisions. These Read More
Source: analyticsinsight.net E-commerce is a booming industry where personalization is one of the most important elements the industry is dependent on. However, with an incrementation in the competition, companies are constantly trying to deliver customer centric experience to consumers. Artificial Intelligence is penetrating in our everyday lives and not just restricted to information technology. When Read More
Source: sdtimes.com Amazon has launched a new open-source library that will make it easier for developers to deploy machine learning models. With AutoGluon, Amazon aims to help developers deploy their models using just a few lines of code. “We developed AutoGluon to truly democratize machine learning, and make the power of deep learning available to all developers,” Read More
Source: If you follow news coverage of the latest developments in Artificial Intelligence and Machine Learning, the mainstream media will have you believe that most of the innovation in this burgeoning field is restricted within the walls of the big tech players, but that’s not the case. Plenty of examples exist of start-ups delivering AI and ML breakthroughs Read More
Source: infoworld.com Amazon has created an open source toolkit for automated machine learning, called AutoGluon, designed to make it easier for software developers to take advantage of deep learning models in their applications. AutoGluon is intended for both machine learning experts and beginners, the company says. Officially launched January 9, AutoGluon lets developers harness machine learning models with image, Read More
Source: technologynetworks.com Engineers from Duke University and the Institut de Physique de Nice in France have developed a new method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements. The system could provide a boost to object identification and speed in fields where both are critical, such Read More
Source: devclass.com AWS has quietly open sourced an open source tool kit it claims will “democratise” machine learning by removing much of the hand tooling data scientists currently fill their time with. The cloud to everything giant’s AutoGluon slipped onto GitHub last year, under the Apache 2 license, but AWS is only now cranking up the publicity Read More
Source: martechseries.com LG Powers Automotive Infotainment and Building Management Systems with Microsoft Azure Cloud and AI Technologies LG Electronics (LG) is working with Microsoft to build its automotive infotainment systems, building management systems and other business-to-business collaborations. As announced at CES 2020, LG will leverage Microsoft Azure and AI services to accelerate the digital transformation of Read More
Source: aithority.com Oracle’s Data Science is helping retailers find their top future customers using data science. A new offering from Oracle Retail, Consumer Insights aids retailers in understanding the characteristics of their best customers then extends those traits to find similar potential customers among the petabytes of third-party consumer data in Oracle Data Cloud. This enables Read More
Source: healthitanalytics.com Artificial intelligence is often seen as the silver bullet to the healthcare industry’s numerous problems. Machine learning technologies have been shown to more quickly and accurately read radiology scans, identify high-risk patients, and reduce provider’s administrative burden. But recent studies have revealed the inherent bias perpetuated by using these algorithms in clinical practice, concerning many that these technologies are more harmful Read More
Source: healthcarepackaging.com Despite the advance of automation technologies into virtually every realm of manufacturing, quality inspection remains a task commonly reserved for humans. One of the primary reasons for this is that factors such as random product placement, atypical defects, and variations in lighting can be problematic for traditional machine vision systems. This difficulty is Read More
Source: towardsdatascience.com Machine learning is a powerful concept of finding patterns from data. However, if you have tried building a machine model from scratch, you should be aware of the challenges involved in designing a scalable machine learning workflow. Labeling, training, and fine-tuning parameters are all time-consuming activities involved in building a machine learning model Read More
Source: expresscomputer.in Researchers, including two of Indian-origin, have demonstrated that machine-learning algorithms can monitor online social media conversations as they evolve, which could one day lead to an effective and automated way to spot online trolling. Prevention of online harassment requires rapid detection of offensive, harassing, and negative social media posts, which in turn requires Read More
Source: msdynamicsworld.com The 2020s are now underway, but for the Microsoft Azure world, it’s been a slow start. As 2019 drew to a close, both of the big holidays this season fell in the middle of the week, meaning a nearly two week lull with few announcements from Microsoft or its partners and ISVs. With Read More
Source: indiatoday.in It is surprising how much can the world change in a few years. Today, machines can see (a field popularly known as Computer Vision), they can hear (Hi Alexa!) and understand our language (field called Natural Language Processing) to a good degree. And they are only going to get better from here. On Read More
Source: qz.com Google is working on an AI tool for mammograms that researchers hope will one day be more accurate than human radiologists. The tech giant paid for a study, the results of which were published last week (Jan.1) in Nature. Its findings, at first glance, look promising. But experts caution that AI has a Read More
Source: techwireasia.com ARTIFICIAL intelligence (AI) is one of the most exciting technologies in the world, with far more potential than has been harnessed commercially thus far. If leveraged wisely, it can profit those who are agile enough to adopt the technology. China is a country that has long recognized the transformative power of AI. It Read More
Source: hindustantimes.com CES 2020 saw the unveiling of what is being depicted as the world’s first “Artificial Human.” Neon is a creation of the Samsung-backed Star Labs. Pranav Mistry, who is the president and CEO of Star Labs, took to Twitter ahead of the unveiling and wrote: “Flying to CES tomorrow, and the code is Read More
Source: aiin.healthcare The use of AI in healthcare is rapidly rising, but healthcare providers remain an absolutely essential part of patient care, according to a new analysis published in CMAJ. AI can’t replace human reasoning, the authors added, but it can certainly play a valuable role in assisting physicians on a daily basis. “Several studies have shown the Read More
Source: builtin.com Machine learning does exactly what it says on the tin. It is a method by which a computer program can “automatically learn and improve from experience without being explicitly programmed.” Now, what does that mean? Let’s breakdown a few concepts. PREDICTIVE MODELING AND LEARNING Consider how a living creature learns something. Say there’s Read More
Source: businessworld.in The economist David Ricardo, when he had in 1821 written about the impact of machines, could not have imagined their pervasive influence on our lives. Today, robots controlled by supercomputers, self-driven cars, board games that are programmed to outsmart humans, complex algorithms that replicate the human brain, and neural networks – have become Read More
Source: financialexpress.com While the study is not a pioneering work—NYU research had already established similar results—what makes Google’s work unique is the fact that it was conducted across two countries with a larger sample. More important, as against artificial lab comparison, this one compares performance with real-world diagnoses. When Google, in 2016, announced that its DeepMind Read More
Source: telecompaper.com Singapore operator M1 and Singapore Institute of Technology (SIT) have signed a research collaboration agreement, to jointly research and develop artificial intelligence (AI) deep learning algorithms and methodology to upgrade the planning, operations and maintenance of large and complex mobile networks. M1 and SIT plan to jointly develop AI services to reduce manual Read More
Source: practicalecommerce.com As ecommerce grows, so does the data that is stored and used. Only a fraction of that data is utilized, however. But that will likely change, as data scientists are getting better at merging, standardizing, and analyzing. All of this will impact ecommerce merchants. What follows are my data predictions for 2020. Impact Read More
Source: analyticsinsight.net Machine learning has become omnipresent today with applications extending from precise diagnosis of skin diseases and cardiac arrhythmia to recommendations on streaming channels and gaming. However, in the distributed machine learning scheme, imagine a scenario where one ‘laborer’ or ‘peer’ is undermined. In what capacity can the aggregation framework be strong to the Read More
Source: sudbury.com More than 10 countries and 70 companies are currently using MX Deposit and the services of Minalytix. As the name of a company often gives a sense of the business, what exactly does Minalytix do? “We build software solutions for the mining industry,” said David Peres, the company CEO. That is quite a Read More
Source: investmentexecutive.com Financial regulators are increasingly turning to data, analytics and technology to enhance their ability to oversee markets. The U.K.’s Financial Conduct Authority (FCA) unveiled a plan on Tuesday to become a “highly data-driven” regulator by making greater use of advanced analytics and automation. The FCA said that it intends to lean more heavily Read More
Source: infoq.com Google AI has open-sourced A Lite Bert (ALBERT), a deep-learning natural language processing (NLP) model, which uses 89% fewer parameters than the state-of-the-art BERT model, with little loss of accuracy. The model can also be scaled-up to achieve new state-of-the-art performance on NLP benchmarks. The research team described the model in a paper Read More
Source: enterprisetalk.com As firms move towards the adoption of machine learning, Artificial Intelligence (AI) is generating substantial security risks. One of the most significant risks associated with AI remains the ML-based models operating as “black boxes.” The deep learning models composed of artificial neural networks have complicated the process of deriving automated inferences. These complications increase the risks associated Read More