Goto

Collaborating Authors

amazon


Amazon's bestselling smart speaker, the 3rd Gen Echo Dot is now under £30

Daily Mail - Science & tech

Amazon's bestselling and most popular smart speaker, the 3rd generation Echo Dot with Alexa voice control is a must-have smart device for any home. And with a current saving of 40 per cent (£20), this is an incredible deal that shouldn't be missed. Now just £29.99, the Echo Dot can stream songs, set timers and connect with other Amazon devices. It can also track fitness, answer questions, and allow you to voice control your home. Simply plug in, connect to wifi, and the Alexa smart speaker is ready to go.


Amazon's Zoox Acquisition– Is LiDAR Next?

#artificialintelligence

Amazon's recent offer to acquire Zoox places them squarely in the Autonomous Vehicle (AV) space, competing with the likes of Waymo, Tesla and others for movement automation of people and goods. As a reminder, Zoox is the San Francisco, California based company with a breathtakingly bold vision – to develop purpose-made autonomous electric vehicles for ride-hailing, and deliver services to consumers through this platform. Executing this vision means competing on multiple fronts with big players- automotive OEMs (designing and building cars), tech companies like Google (who has spent a decade and a fortune to develop the Autonomous Vehicle Driving System or AVS), and ride-hailing companies like Uber and Lyft LYFT . To date, Zoox has raised $1B and hired close to 1000 people, but without any revenues, they probably need 10X the investment. A recent article covers the details of the Zoox acquisition, and posits that an important driver was Zoox's expertise in computer vision.


Why transfer learning works or fails?

#artificialintelligence

During the NIPS tutorial talk given in 2016, Andrew Ng said that transfer learning -- a subarea of machine learning where the model is learned and then deployed in related, yet different, areas -- will be the next driver of machine learning commercial success in the years to come. This statement would be hard to contest as avoiding learning large-scale models from scratch would significantly reduce the high computational and annotation efforts required for it and save data science practitioners lots of time, energy, and, ultimately, money. As an illustration of these latter words, consider Facebook's DeepFace algorithm that was the first to achieve a near-human performance in face verification back in 2014. The neural network behind it was trained on 4.4 million labeled faces -- an overwhelming amount of data that had to be collected, annotated, and then trained on for 3 full days without taking into account the time needed for fine-tuning. It won't be an exaggeration to say that most of the companies and research teams without Facebook's resources and deep learning engineers would have to put in months or even years of work to complete such a feat, with most of this time spent on collecting an annotated sample large enough to build such an accurate classifier.


Amazon's Zoox Acquisition– Is LiDAR Next?

#artificialintelligence

Amazon's recent offer to acquire Zoox places them squarely in the Autonomous Vehicle (AV) space, competing with the likes of Waymo, Tesla and others for movement automation of people and goods. As a reminder, Zoox is the San Francisco, California based company with a breathtakingly bold vision – to develop purpose-made autonomous electric vehicles for ride-hailing, and deliver services to consumers through this platform. Executing this vision means competing on multiple fronts with big players- automotive OEMs (designing and building cars), tech companies like Google (who has spent a decade and a fortune to develop the Autonomous Vehicle Driving System or AVS), and ride-hailing companies like Uber and Lyft LYFT. To date, Zoox has raised $1B and hired close to 1000 people, but without any revenues, they probably need 10X the investment. A recent article covers the details of the Zoox acquisition, and posits that an important driver was Zoox's expertise in computer vision.


The best smart speakers for all budgets

The Guardian

After almost six years on the market, smart speakers now come in a variety of sizes, shapes, capabilities and prices. Whether you want a cheap speaker to keep the kids entertained, one that doubles as a digital photo frame or one that sounds so good you'll want to yell "turn it up to 11", here's a quick guide to the best on the market. Google's Assistant is the best voice system on the market. It has better understanding than rivals, an enormous range of knowledge and – importantly – the ability to choose between male and female voices, even on a user-by-user basis as Google can distinguish between the individuals giving instructions. The Nest Mini is the second generation of Google's smallest and cheapest smart speaker.


6 Practical Books for Beginning Machine Learning – Sushrut Tendulkar

#artificialintelligence

It focuses mostly on the Scikit-Learn library with an in-depth tour of some of the most useful methods in Machine Learning-- classifying, regression, a bit of clustering. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas MŸller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.


Is Robotics Lagging AI?

#artificialintelligence

The concept of autonomous machines dates back to medieval times, but the research into the practical and potential use of robots began only in the 20th century. Today, there are numerous scholars, inventors, engineers, and technicians that are working to develop machines that mimic human behaviour and manage tasks in a human-like fashion. While artificial intelligence plays a crucial role in the development and advancement of robotics, the rise of general-purpose robots poses a question of whether robotics has begun to lag AI. People often confuse robotics for industrial automation and academia and research. While for most high-end research robots, it has deep learning embedded into them such as computer vision linked objects, feature detection and classification, industrial robots are beginning to include the maturity of camera-based object detection and classification.


What's Ahead for Data Processing, Hosting Industry?

#artificialintelligence

Artificial intelligence (AI) may have popularized big data but applications like the internet of things (IoT) are taking it to the next level. The need to analyze large datasets to come up with insights and the increasing internet traffic is increasing the demand for data and digital storage services. The global data center market should expand by $304.87 billion between 2020 and 2024, according to a Technavio report. This puts the current global data center market size to more than $300 billion. According to Internet World Stats, in mid-2019 there were more than 4.5 billion Internet users worldwide, That's 58.8% of the global population with Internet access and the numbers are growing as internet penetration improves.


'Ghost in the Shell' (the good one) arrives in 4K on September 8th

Engadget

Just in time for its 25th anniversary, Ghost in the Shell is getting a 4K Ultra HD rerelease. On September 8th, you'll be able to buy Mamoru Oshii's landmark film in a beautiful collection that will let you watch the 1995 feature across multiple formats. Lionsgate has remastered both the original Japanese and English audio tracks for Dolby Atmos. Included in the release is a digital copy of the movie. For good measure, you also get the film on Blu-ray.


Tech titans to defend American success stories

#artificialintelligence

Leaders of the world's four most powerful companies will defend the Internet giants, painting them as US success stories in a fiercely competitive world during a major antitrust hearing Wednesday. The unprecedented hearing will feature chief executives Jeff Bezos of Amazon, Tim Cook of Apple, Mark Zuckerberg of Facebook and Sundar Pichai of Google and its parent firm Alphabet. The CEOs will testify remotely at the hearing, which comes less than 100 days before the US election. Zuckerberg is to say that the internet giant would not have succeeded without US laws fostering competition, but that the rules of the internet now need updating. "Facebook is a proudly American company," Zuckerberg said in prepared remarks ahead of what will be a closely watched House Judiciary Committee hearing.