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A brave new world of artificial intelligence

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In a world of deep fakes, facial recognition and machine learning, an ethical framework to guide the development and rollout of AI is becoming …



Algorithm discovers that every lion has a unique and trackable roar

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Scientists from Oxford University have used a machine learning algorithm to discover every lion has its own identifiable and trackable roar. Previous research has shown that lions roar to communicate with other members of their pride and scare off foes. But we still know little about how they recognize which animal has made the call. The Oxford scientists tried to find out by designing a device called a "biologger" that's attached to a lion's existing GPS collar to record audio and movement data. They then associated each call with a lion by cross-referencing the data through their recordings of roars.


A brave new world of artificial intelligence

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Back in 2014, Amazon turned to artificial intelligence (AI) to streamline its recruitment process, using a machine-learning algorithm to review résumés and automate its search for talent. Three years later it abandoned the programme after it became apparent it was biased against female candidates. Because it relied on historical hiring patterns -- mostly of men -- it built in a preference for male hires. Last year, researchers in the US claimed they could predict criminality by running profile pictures through an AI algorithm. The project was roundly condemned, with scientists pointing out that it simply replicated existing racial biases in the criminal justice system, according to a report by tech magazine Wired...


Blog Review: June 23

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Synopsys' Manuel Mota shows how splitting SoCs into smaller dies for advanced packaging and using die-to-die interfaces to enable high bandwidth, low latency, and low power connectivity can benefit hyperscale data centers. Siemens EDA's Chris Spear explains the relationship between classes and objects in SystemVerilog with a handy visualization and notes the difference between SystemVerilog variables and class variables. Cadence's Paul McLellan listens in as Waylon Grange of Stage 2 Security demonstrates hacking the embedded software in a home's solar power controller and how it points to areas where embedded security still needs improvement. In a blog for Arm, Alp Acar of Boston University explains the concept of federated learning, a privacy-preserving paradigm to train machine learning models in a decentralized fashion, leaving a user's data on the device. In a video, Infineon's Thomas Aichinger dives into how to make the gate oxide of SiC MOSFETs more reliable in the field through voltage screening and marathon stress tests.


Face Recognition System using DEEPFACE(With Python Codes)

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Recognition of the face as an identity is a critical aspect in today's world. Facial identification and recognition find its use in many real-life contexts, whether your identity card, passport, or any other credential of significant importance. It has become quite a popular tool these days to authenticate the identity of an individual. This technology is also being used in various sectors and industries to prevent ID fraud and identity theft. Your smartphone also has a face recognition feature to unlock it.


Interview: Marc Andreessen, VC and tech pioneer

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Marc Andreessen should need no introduction, but I'll do one anyway. He helped code the first widely used graphical web browser, Mosaic, which as I see it makes him one of the inventors of the internet. He co-founded Netscape and various other companies. He also co-founded the venture capital firm Andreessen Horowitz (with Ben Horowitz), also known as A16Z, one of the country's largest VC firms. Recently he has launched a media publication called Future, where he occasionally writes his thoughts. Marc has been a sort of hero of mine ever since I was a teenager, when Netscape Navigator felt like it opened up the world. I came out to California in part to meet people like him. Now we know each other well, and he's a subscriber to my blog! The thing I always like about talking to Marc is how he combines relentless optimism with the concrete knowledge to back up that optimism -- both knowledge of specific details and a broad understanding of various schools of thought. Lots of people will tell you the future holds amazing possibilities; Marc will tell you exactly what those possibilities are, and why they're possible.


Programming

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This article will dive you into the built-in string methods that are used in various text processing tasks in machine learning projects. String methods help to implement sequence operations with the help of these methods. Let's see all the string methods used in the string class of python. First, assign a string to a variable and that variable will be an instance or object of the string class. In this method, the string is return with a first letter capital.


K-Means Clustering: Techniques to Find the Optimal Clusters

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As the points are uniformly distributed, the KMeans algorithm evenly splits the points into K clusters even if there's no separation between them Gap Statistics gives the optimal number of the cluster as 10 based on the maximum gap between the cluster inertia on the data and null referenced data.


OECD Paving The Way Towards Trustworthy And Responsible AI - AI Summary

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OECD.AI is an inclusive hub for public policy on AI that helps countries encourage, nurture and monitor the development and use of trustworthy AI. From the measurement of AI trends and developments to the direction and impact of national and regional AI policies and initiatives, OECD.AI is a prime example of how to move the AI discussion from principles to practice. Its up-to-date repository of over 600 AI policy initiatives from 60 countries enables the comparison of key elements of national AI policies in an interactive manner. Its work and indicators have informed and enhanced national and international analysis such as Pan Canadian AI Strategy Impact Assessment, the German AI Observatory, the G20 background paper on Trustworthy AI in Health multiple G20 reports and the recent EC Proposal for AI Regulation. Armando Guio, CAF Consultant at the Presidency of the Republic of Colombia believes that "the Observatory has rapidly become one of the most important sources of data and knowledge for AI governance."