By Dr. Rasmi Misra "Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we'll augment our intelligence." This has led to a widespread belief that introducing AI driven systems could help in lowering these costs and also make remote patient monitoring more efficient. With the advanced use of AI & ML in medicine, the ability to form relationships with patients, which was once touted as a cornerstone in the human element in treatment, is now being portrayed as its Achilles' heel. While the fear that AI & ML may make doctors obsolete is not completely unfounded, the belief that it would replace doctors and steal their jobs is slightly presumptuous.

We are going to the AIoT Summit on December 3rd with Ambiq Micro and TensorFlow, and we wanted to give you a sneak peek! On December 3rd, you will find SparkFun CTO Kirk Bennel and Creative Technologist Rob Reynolds at the AIoT Dev Summit! In collaboration with Ambiq Micro and TensorFlow, we are going to be running a hands-on workshop where you will be able to build your very own Harry Potter wand! That's right, all of us muggles out there can finally get a magic wand without ever having to break into Ollivanders like a certain dark wizard. This is an experiential and experimental workshop that focuses on the use of TensorFlow Lite on a low-power microcontroller to perform machine learning.

Have you ever wondered how a song might sound if performed by a different artist? In this work, we propose SCM-GAN, an end-to-end non-parallel song conversion system powered by generative adversarial and transfer learning that allows users to listen to a selected target singer singing any song. SCM-GAN first separates songs into vocals and instrumental music using a U-Net network, then converts the vocal segments to the target singer using advanced CycleGAN-VC, before merging the converted vocals with their corresponding background music. SCM-GAN is first initialized with feature representations learned from a state-of-the-art voice-to-voice conversion and then trained on a dataset of non-parallel songs. Furthermore, SCM-GAN is evaluated against a set of metrics including global variance GV and modulation spectra MS on the 24 Mel-cepstral coefficients (MCEPs). Transfer learning improves the GV by 35% and the MS by 13% on average. A subjective comparison is conducted to test the user satisfaction with the quality and the naturalness of the conversion. Results show above par similarity between SCM-GAN's output and the target (70\% on average) as well as great naturalness of the converted songs.

For those of you unfamiliar, Andrew Ng runs a weekly newsletter where he shares thoughts and new developments in deep learning. I was very interested in something he said in today's newsletter (which can be read here), in which he talks about how deep learning systems still fail in many real scenarios because they are not yet robust to changes in data quality/distributions One of the challenges of robustness is that it is hard to study systematically. How do we benchmark how well an algorithm trained on one distribution performs on a different distribution? Performance on brand-new data seems to involve a huge component of luck. That's why the amount of academic work on robustness is significantly smaller than its practical importance.

Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform and its Avant! AI, for both mobile and fixed solutions, announced that is now working on Graph Neural Network (GNN) based autonomous machine algorithms development, as part of the research to enhance its Avant! AI systems lend themselves to practical applications. AI is a computer hardware and software system that is able to perform tasks that normally require human intelligence; it is based on machine learning technology and is capable of being trained with a data set. GBT is now developing a set of algorithms within Avant! that are leveraging neural nets to process a huge amount of data, specifically for autonomous machines applications.

You are in a pub and trying to order a drink. Someone cuts in front or the bartender simply doesn't see you. In crowded bars, you can end up spending most of your night just trying to order a drink. The Underdog in Central London is claiming to be the first bar in the world to install facial recognition technology. The AI-powered system, which was developed by British company DataSparQ, will help staff see who's next in line to be serviced.

Social media platforms have become overrun with fake news, creating the need for smart AI-based filters to separate fact from fiction. Fake news has become a nearly inescapable part of the social media experience. Social media has become a massive part of how we exchange information. There are now 3.48 billion active social media users in the world, with individuals and organizations recognizing the importance of these platforms as the primary means of interacting with the public. From local celebrities to world leaders like US President Donald Trump, everyone is using social media to deliver stories and messages, and the medium has proven to be an incredibly effective tool for influencing opinions.

When Amazon demonstrated the new Echo Studio at a company event in September, I was blown away. This was some of the best audio I had ever heard from a little speaker, filling a room of hundreds of journalists and sounding like it was many speakers connected together. My initial thought was that rival Sonos, which specializes in great-sounding Wi-Fi speakers, was in trouble. After spending several hours with the $200 Studio, out Thursday, there will be no need to schedule a benefit for Sonos. The Studio does sounds great.

Consumer robots have been part of popular culture for decades, fueling visions of having robots living alongside humans in our homes to assist with daily tasks, entertain, educate, and socialize. However, the promise of consumer robotics remains largely unfulfilled. Cleaning robots, such as robotic vacuums, dominate the market and we are years away from widespread adoption of the robot types with which people have envisioned sharing their homes. However, according to a new report from Tractica, there is renewed interest in consumer robotics with companies introducing new innovations and product categories. The market intelligence firm anticipates that this innovation and diversification within the market will drive growth in unit shipments from 15.4 million in 2018 to 65.8 million units annually by 2025.

Google's latest smart display is larger and can recognise your face for proactively showing you personalised information making it just that little bit smarter than competitors. The £219 Nest Hub Max is Google's second own-brand smart display and is essentially a super-sized version of the excellent original Home Hub (now renamed Nest Hub). But where the Nest Hub is a veritable bargain at £119 or frequently much less, the Nest Hub Max is a different proposition at a little under twice the price. A bigger screen is definitely better for viewing from across a room. The 10in 720p HD screen is bright, crisp enough at normal viewing distances and has Google's ambient EQ colour tone system so that photos on it look very much like printed photos, not displayed on an overly white and clinical LCD screen.