Artificial intelligence and machine learning capabilities are growing at an unprecedented rate. These technologies have many widely beneficial applications, ranging from machine translation to medical image analysis.

Following the news that technology billionaire Elon Musk has quit the board of the research group looking into the ethics of artificial intelligence, the question needs to be asked: can AI be trusted? 'The reality is that AI is like anything else – it can be very …

As was also clearly stated by Vladimir Putin on September 4, 2017: "whichever country leads the way in Artificial Intelligence research will be the ruler of the world".

A number of this week's milestones in the history of technology demonstrate society's reactions to new technologies over the years: A discussion of AI replacing and augmenting human intelligence, a warning about the abundance of misinformation on the internet, and government regulation of a mass communication platform, suppressing free speech in the name of the public interest.

Israeli TV to smartphone audio company Tunity has announced a $12 million Series A financing round from existing investors including former Morgan Stanley CEO John Mack and WeWork founder and CEO Adam Neumann, as well as new investors, including MGM Resorts International. Headquartered in New York and with its development center in Tel Aviv, Tunity has developed deep learning and computer vision based technology to produce an app that allows users to stream and hear live audio from muted televisions directly on their smartphones. Tunity will use the funding to complete the development of its data product, which is already attracting significant interest from television networks and advertisers, as well as to enhance its patented cloud-based Deep Learning and Computer Vision technology. Since its launch, the Tunity app has been downloaded more than 1.5 million times, further proving the company's value proposition to consumers through organic adoption and continued usage. After a user scans a nearby television screen, the Tunity app identifies the live video stream and its exact timing, syncing the audio with the user's mobile device.

The AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025. The major drivers for the growth of this market are increasingly large and complex dataset driving the need for AI and the adoption of AI for improving consumer services. Moreover, the increasing number of AI applications, improving computing power, and declining hardware cost are propelling the market growth. In the technology segment, machine learning holds the largest share of the AI (chipsets) market. Moreover, the market for computer vision is expected to grow at the highest CAGR from 2018 to 2025.

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Long Short Term Memory networks, usually called "LSTMs", were introduced by Hochreiter and Schmiduber. These have widely been used for speech recognition, language modeling, sentiment analysis and text prediction. Before going deep into LSTM, we should first understand the need of LSTM which can be explained by the drawback of practical use of Recurrent Neural Network (RNN). So, lets start with RNN. Being human, when we watch a movie, we don't think from scratch every time while understanding any event.

Maximizing intelligence on client devices residing on the edge of the network ensures AI-powered user experiences can be realized with better overall performance and with or without a network connection. The key benefits of on-device AI include real-time responsiveness, improved privacy, and enhanced reliability. Supported within the AI Engine, Snapdragon core hardware architectures – Qualcomm Hexagon Vector Processor, Qualcomm Adreno GPU and Qualcomm Kryo CPU – are engineered to run AI applications quickly and efficiently on-device. This heterogeneous computing approach gives developers and OEMs the ability to optimize AI user experiences on smartphones and other edge devices. "On-device AI demands multiple hardware architectures, software tools, and frameworks to meet developer demand and performance thresholds for the myriad of AI-powered features and apps arriving on smartphones this year," said Gary Brotman, director of product management, Qualcomm Technologies, Inc. "The AI Engine capabilities of select Snapdragon mobile platforms have and will continue to fuel AI innovation among our OEMs and ecosystem partners, and are engineered to accelerate the development and delivery of rich, seamless and compelling features for consumers."

Developers follow a simple dress code but this hasn't pushed them back to help others enrich their shopping experience with Artificial Intelligence. With AI, retailers can go far beyond providing online shopping to better customize the customer's shopping experience. By finding a similar product online to experimenting with your makeup and hair dye from the comfort of your couch, AI provides you with everything. Snap and Shop It happens manier times that you want to purchase a similar product your friend has. But, it becomes very tough to find the same product. You need to perform thorough search.