Source: biometricupdate.com Google’s move to eliminate gender labels from its artificial intelligence-powered computer vision services has put pressure on Microsoft, Amazon, and IBM to remove the feature, which automatically assigns the label of “man” or “woman” to people, according to Business Insider India. Google took the step weeks ago, saying it wanted to bring the service into Read More

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Source: analyticsinsight.net Popular expressions, for example, “artificial intelligence”, “machine learning” and “Big Data” have without question become a significant topic in the present tech scene and they are digging in for the long-term. However, the advancement power behind Artificial Intelligence and its related perspectives have additionally discovered its way to the core phase of our Read More

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Source: analyticsindiamag.com AI research startup DeepMind has now open-sourced new libraries for neural networks and reinforcement learning based on JAX. JAX is a numerical computing library launched by Google a couple of years ago, and can automatically differentiate native Python and NumPy functions. JAX uses XLA (Accelerated Linear Algebra) to compile and run your NumPy programs Read More

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Source: venturebeat.com In self-supervised learning — an AI technique where the training data is automatically labeled by a feature extractor — the extractor can exploit low-level features (known as “shortcuts”) that cause it to ignore useful representations. In search of a technique that might help remove these shortcuts autonomously, researchers at Google Brain developed a framework — Read More

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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

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Source: enterprisersproject.com How often do you now casually converse with a black (or white) box of some sort? Natural language processing (NLP) has become an integral part of our daily lives: Whether we’re asking our smartphone for directions or engaging with Alexa or Google, NLP and its sub-categories are hard at work behind the scenes, translating our Read More

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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

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Source: venturebeat.com Defenses against adversarial attacks, which in the context of AI refer to techniques that fool models through malicious input, are increasingly being broken by “defense-aware” attacks. In fact, most state-of-the-art methods claiming to detect adversarial attacks have been counteracted shortly after their publication. To break the cycle, researchers at the University of California, Read More

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Source: news18.com On Thursday, Business Insider reported that Google’s Cloud Vision API service, an AI-powered tool that developers use to identify components in an image like faces, objects, or landmarks, will no longer attach gender-related labels to pictured people. Yesterday, Google sent out an email to its Cloud Vision API customers that the tool, which Read More

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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

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Source: financialexpress.com Artificial Intelligence (AI) is opening up the next phase of technological advances. Riding the AI wave, Google has started six AI-based research projects in India. These projects would focus on addressing social, humanitarian and environmental challenges in sectors such as healthcare, education, disaster prevention and conversation. Google Research India, based in Bengaluru, will Read More

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Source: siliconangle.com Google LLC today debuted some important updates to its Dialogflow, the main technology that powers its Contact Center AI service for automating interactions with customers in call centers. Dialogflow is a conversational artificial intelligence engine used to create virtual agents that can understand and respond to all manner of queries from callers, using both voice and Read More

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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

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Source: zdnet.com Alphabet’s Google unit is trying out artificial intelligence programs to advance its internal development of dedicated chips to accelerate its software, according to Google’s head of AI research, Jeff Dean.  “We are using it internally for a few chip design projects,” said Dean in an interview with ZDNet Monday, following a keynote talk he gave at the Read More

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Source: economictimes.indiatimes.com Chennai-based technology institute IIT-Madras will collaborate in a project backed by search giant Google to develop AI-driven systems to predict engagement and churn in a phone-based information system meant for expectant mothers. IIT Madras has tied up with Google for its “AI for Social Good” initiative and will handle two projects with accredited Read More

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Source: miragenews.com Monash University and Eastern Health’s Turning Point are using a $1.2 million (AUD) grant from Google to address major mental health challenges in society. A joint project between Monash University and Eastern Health’s Turning Point, are using Artificial Intelligence (AI) to streamline the coding of national suicide-related ambulance data to help paramedics respond Read More

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Source: searchcustomerexperience.techtarget.com Meena, Google’s latest AI chatbot built on neural networks, is a technological leap forward toward human conversation, analysts said. While Meena has potential to improve web and call center customer service by taking on more complicated tasks than current chatbots, the rip-and-replace may be painful because the bot potentially will require more — Read More

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Source: appleinsider.com While GPS is a widely-used technology for geolocation, one that is especially useful for navigation while driving, it isn’t necessarily as accurate as it could be. Mapping applications like Apple Maps occasionally show the wrong location for the user for a variety of different reasons. These issues can include interference in the GPS Read More

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Source: venturebeat.com Optical sensors such as cameras and lidar are a fundamental part of modern robotics platforms, but they suffer from a common flaw: transparent objects like glass containers tend to confuse them. That’s because most of the algorithms analyzing data from those sensors assume all surfaces are Lambertian, or that they reflect light evenly Read More

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Source: helpnetsecurity.com ZeroFOX, the leading provider of public attack surface protection, announced it has extended its artificial intelligence (AI) powered platform to now include advanced protection capabilities to solve intractable challenges in the cloud email security market and complement existing email security. The ZeroFOX Advanced Email Protection suite includes capabilities that address Business Email Compromise Read More

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Source: venturebeat.com Determining whether an AI system is maintaining fairness in its predictions requires an understanding of models’ short- and long-term effects, which might be informed by disparities in error metrics on a number of static data sets. In some cases, it’s necessary to consider the context in which the AI system operates in addition Read More

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Source: infoq.com Researchers from Google AI recently open-sourced the Reformer, a more efficient version of the Transformer deep-learning model. Using a hashing trick for attention calculation and reversible residual layers, the Reformer can handle text sequences up to 1 million words while consuming only 16GB of memory on a single GPU accelerator. In a paper accepted for oral presentation Read More

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Artificial Intelligence