Source – knowstartup.com Artificial Intelligence is radically changing the way we think of technology. It is progressing rapidly, with key advancements ranging from virtual assistants (such as Apple’s Siri and Microsoft Cortana) to fraud detection. This emerging tech now plays a part in everyday life. Another study performed by Forrester Research predicted an increase of 300% in investment Read More

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Source – lightreading.com Data science techniques have been around for many years and successfully applied in several areas like fraud detection, personalized recommendations, etc. Most recently, these techniques are being leveraged in service provider and telco network operations. The combination of SDN/NFV and data science is becoming a powerful new approach for making networks more reliable Read More

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Source – theurbandeveloper.com Runway’s algorithms determine what key property attributes best match customer profile attributes from purchasers. The algorithms then make two predictions: Which prospects are more likely than others to purchase a new home, lot, house and land package or apartment? What property types (with specific property attributes) are these prospects most inclined to purchase? Read More

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Source – governmentcomputing.com Data Science Accelerator programme offers chance to experiment with different data science techniques and open source software A key data science joint initiative between the Office for National Statistics (ONS), the Government Digital Service (GDS) and the Government Office for Science and Civil Service analytical professions is approaching a closing date for applicants. The Data Read More

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Source – formtek.com Deep Learning is quickly becoming a key component in the tool bag for Data Scientists.  Deep Learning is a kind of Machine Learning that is being applied to applications like fraud detection, prodcut demand prediction, quality assurance, and predictive and prescriptive maintenance. Alexander Linden, research vice president at Gartner, said that “deep learning is Read More

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Source – scientificamerican.com Every day we read of some new area where artificial intelligence has matched or exceeded the proficiency of human experts on some well-defined task. Beyond the well-publicized successes of go- and poker-playing AI agents, machines have shown superiority in complex real-world tasks like interpreting x-ray images and assessing the cancer risk of dermatological lesions. Read More

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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

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Source – forbes.com Deep learning, a popular form of machine learning, is being applied across across a number of the latest tech products and services. But for the most part, all that computing is still taking place in the cloud. San Francisco-based artificial intelligence startup Skymind is hoping to embed deep learning directly into robots. The startup is releasing a Read More

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Source – rtinsights.com As machine learning methods continue to improve, so do the possibilities of their utility throughout all industries. The worlds of healthcare and finance, for example, are particularly vulnerable to breaches in data security. Social security numbers, names, addresses and financial information are the data goldmine hackers are seeking to find and exploit. While Read More

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Source – yourstory.com Every single day, millions of dollars are being spent in call centres simply to answer repeated questions, thousands of times over and over again. Let us see how AI is going to affect IT service management. In this age of artificial intelligence, managers at all levels need to accept that a significant chunk Read More

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Source – abovethelaw.com Elon Musk recently warned that an international artificial intelligence race is more likely to cause World War III than a 20th Century-style arms race. We lawyers have our own “end-of-the-world” concern: that AI will ultimately end most lawyers’ careers. But before we start speculating about what havoc HAL 9000, J.D. could wreak on the legal profession, Read More

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Source – venturebeat.com The future of all biometrics will involve artificial intelligence. That statement might seem strange. After all, biometrics is a security issue, one that often involves complex algorithms, randomly generated passcodes, and multiple authentication steps. But in the future, data security will rely on AI and machine learning to analyze data and determine whether Read More

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Source – economictimes.indiatimes.com Mumbai: Even as a debate rages over possible consequences of artificial intelligence (AI), a global survey has found managing security risk arising out of its adoption as the biggest concern for companies. “Effectively managing the security risk of AI systems is of paramount importance for the majority of industries,” the global survey undertaken by Read More

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Source – cio.com In recent years, enterprise machine learning has revolved around crunching numbers: analyzing datasets or tracking customer behavior. But what organizations will soon realize is that applying machine learning to content—physical documents, images, presentations and even conversational UIs—removes the cap on who machine learning impacts, and how far its value extends across the enterprise. Read More

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Source – forbes.com In retail, supply chain efficiency is essential. Inventory management, picking, packing and shipping are all time and resource-intensive processes which can have a dramatic impact on a business’s bottom line. The problem is these are complex processes, particularly when it comes to large scale operations covering multiple outlets and territories. The fact they Read More

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Source – cio.com Machine learning (ML) is fast becoming a litmus test for forward-thinking CIOs. Companies that fail to adopt machine learning for product development or business operations risk falling behind more nimble competitors in the coming decade. That’s according to Dan Olley, who as the CTO of Elsevier, the scientific and health information unit of RELX Group, has ratcheted Read More

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Source – laboratorytalk.com The device, called c-Air, is intended to give more people around the world the ability to accurately detect dangerous airborne particulate matter, the researchers said. It works by detecting pollutants and determining their concentration and size using a mobile microscope connected to a smartphone and a machine-learning algorithm that automatically analyses the Read More

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Source – datanami.com As the AI services ecosystem expands, vendors are offering automation tools designed to make life easier for embattled data scientists through toolkits used to build machine and deep learning models, and then move those trained models to production. That’s the premise behind the upgraded version of machine learning “lab” from toolkit vendor deepsense.ai Read More

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Source – forbes.com Artificial intelligence is firmly embedded throughout the economy. Financial services firms use it to provide investment advice to customers, automakers are using it in vehicle autopilot systems, technology companies are using it to create virtual assistants like Alexa and Siri, and retailers are using artificial intelligence (AI) together with customers’ prior sales histories, Read More

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Source – technologyreview.com Avitas Systems, a GE subsidiary based in Boston, is now using drones and robots to automate the inspection of infrastructure such as pipelines, power lines, and transportation systems. The company is using off-the-shelf machine-learning technology from Nvidia (50 Smartest Companies 2017) to guide the checkups, and to automatically identify anomalies in the data Read More

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Source – yourstory.com This autumn or post-monsoon, depending on which part of the world you live in, the movie Blade Runner will see a return after 35 years. If you remember the first movie, the artificial intelligence character, or the “replicant”, the antagonist, played by Rutger Hauer, saves the protagonist, played by Harrison Ford, from dying. After that, Read More

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Artificial Intelligence