Learn how to program for machine learning with Amazon's new Deeplens camera


It may look like a mild-mannered home security camera, but Amazon's AWS DeepLens is anything but. Announced today at the AWS re:Invent 2017 conference, the $249 (£185/AU$330 converted) DeepLens video camera is designed to help train developers in deep learning programming techniques. April 14, 2018, is the projected date of availability on, Deep learning has become a catch-all term for the AI smarts that dominate today's smart home. It's what fuels Amazon's Alexa-enabled speakers, what makes them able to differentiate among various voices, and what makes facial recognition cameras able to distinguish you from your neighbor.

Amazon's AI camera helps developers harness image recognition


Far from the stuff of science fiction, artificial intelligence is becoming just another tool for developers to build the next big thing. It's built in to Photoshop to help you knock out backgrounds, Google is using AI to figure out if you have a person peeping on your phone and Microsoft uses the technology to teach you Chinese. As Amazon's Jeff Barr says, "I think it is safe to say, with the number of practical applications for machine learning, including computer vision and deep learning, that we've turned the corner" towards practical applications for AI. To that end, Amazon has announced AWS DeepLens, a new video camera that runs deep learning models right on the device. The DeepLens has a 4 megapixel camera that can capture 1080P video, along with a 2D microphone array.

Third-party Alexa skills can now use notifications


Your phone gets notifications, so why can't your smart speaker? Amazon is doing something about it.. and thankfully, it's not as bothersome as it could be. The company is trotting out a developer preview of notifications in Alexa skills. If you opt in, third-party skills can push notifications to your Alexa-equipped devices (such as an Echo speaker or your phone) that will trigger both a sound and an on-device alert (whether an LED light or on-screen display. This doesn't mean you're going to be peppered with unwanted speech, though: your notifications accumulate, and you'll only hear what they are when you ask Alexa to read them.

Will AI replace the need for Human Workers? – Chatbots Magazine


Chatbots/ Conversational Systems, Virtual Reality (VR)/Augmented Reality, Digital Twins, Virtual Assistants, Artificial Intelligence, and Advanced Machine Learning have become the most recent disruptive trend in technology. Thus if you want to create a killer app, this is the way to go. Artificial Intelligence experts, particularly Chatbot Developers on my Linked In, are claiming they are changing the face of the e-commerce and medical industry with systems that emulate human speech. Therefore, in time, it seems that humans could become obsolete in the workforce. Now we are posed with the question: Can a "robot" really replace the need for human workers?



Artificial Intelligence (AI) has gained worldwide exposure over the years through Hollywood, including the recent blockbuster movies such as Alien: Covenant and Blade Runner 2049. While androids like those depicted in the movies are nothing but science fiction at this point in time, we are seeing the increasingly advanced application of AI incorporate mainstream computing. In this post, we examine how website development is benefiting from artificial intelligence (AI), as well as some unique integration challenges. Modern mainstream website development has focused on the building of a customer-facing front-end presence on the Internet and the integration of the front-end with enterprise back-office operations. Drupal is an industry-leading open-sourced platform for building such enterprise websites.

Sequoia Backs Graphcore as the Future of Artificial Intelligence Processors


Graphcore has today announced a $50 million Series C funding round by Sequoia Capital as the machine intelligence company prepares to ship its first Intelligence Processing Unit (IPU) products to early access customers at the start of 2018. The Series C round enables Graphcore to significantly accelerate growth to meet the expected global demand for its machine intelligence processor. The funding will be dedicated to scaling up production, building a community of developers around the Poplar software platform, driving Graphcore's extended product roadmap, and investing in its Palo Alto-based US team to help support customers. Nigel Toon, CEO at Graphcore said: "Efficient AI processing power is rapidly becoming the most sought-after resource in the technological world. We believe our IPU technology will become the worldwide standard for machine intelligence compute.

Apple's 2018 iPad Expected Features Include FaceID, AR Compatibility, Smaller Form Factor

International Business Times

Now that all of its launches for 2017 are done, Apple is working on its 2018 devices, according to a Bloomberg report Wednesday. The company is expected to follow its yearly cycle launching the iPad first, followed by the iPad Pro and then the iPhones in the fall. Apple remains the sole industry player that is still developing tablet PCs and therefore, its affordable tablet is an important device for the segment. The company is not expected to endow the 2018 iPad with a long-awaited feature though -- an iPhone X style super retina OLED display, according to Bloomberg's Mark Gurman. FaceID: Apple is expected to endow the new iPad with the FaceID face recognition system.

Amazon teaches Alexa Japanese for Echo's next destination


Amazon's Echo, Plus and Dot speakers will finally be available in Japan starting next week. To prepare for the devices' arrival in the island nation, the e-retail giant taught the voice assistant how to understand and respond in the Japanese language. Alexa SVP Tom Taylor said the company designed an all-new experience "from the ground up for Japanese customers, including a new Japanese voice, local knowledge and over 250 skills from Japanese developers." Users in the country can issue typical Alexa voice commands in their native tongue. They can, say, listen to news from Japanese media companies like NHK, TBS TV, TV TOKYO, Asahi Newspaper and Mainichi Newspaper.

The Future Of Artificial Intelligence: From Minimizing Food Waste To Terrible Self-Creating Music


As an entrepreneur and AI guru, Trevor O'Brien is deeply engrained in the digital start-up community. He is founder at the innovative design and prototyping studio,, and has been crucial in a number of ground-breaking start-up initiatives, including Throughout his career, Trevor has lead sprawling multidisciplinary teams, created award-winning digital campaigns, and proven that technology paves endless paths for communicating and doing business, through the success of his clients. We caught up with our latest scholar to find out more about his thoughts on the role of AI in our future – from minimizing food-waste, to terrible self-creating music! Julie Hough: Contagious are global supporters of brave creative thinking and innovation, especially in the face of daunting new technologies.

An Introduction to Redis-ML (Part 6) - DZone AI


Simple and powerful data management, reduced overhead, and minimal latency are just three of the major advantages of building your machine learning models with Redis. Additional statistical models can be added to an application with a simple SET command, allowing developers to maintain multiple versions of models for cases in which data needs to be reprocessed. A Redis-ML key, like any Redis key, can be maintained using the Redis key management commands. To scale up a Redis-based predictive engine, you simply deploy more Redis nodes and create a replication topology with a single master node and multiple replica nodes.