When it comes to advanced features and seamless compatibility with iOS devices, Apple Music has Spotify well and truly beaten. The Swedish streaming giant has essentially the same content library as Apple and better music discovery algorithms, but Apple Music has the technical edge with support for lossless audio, spatial sound that works in Apple's super popular earbuds and over-ear headphones, and one of the best features on the market for displaying lyrics. And now, Apple is revealing yet another ace up its technological sleeve. Apple Music Sing, available later this month, will give subscribers the ability to transform millions of the platform's most popular songs into lyric-free sing-alongs, all powered by machine intelligence and proprietary processing technology. On supported songs in Apple Music, a fader will appear that lets the user turn down the vocals and sing along to the tune.

Who knew artificial intelligence could be so entertaining? Case in point is ChatGPT, a free AI chatbot that has probably been all over your social feeds lately. "Who was George Washington Carver?" But it can get creative, too: "Write a movie script of a taco fighting a hot dog on the beach" generates a thrilling page of dialogue, humor and action worthy of YouTube, if not quite Netflix: Taco: "So you think you can take me, hot dog? You're nothing but a processed meat product with no flavor."

Imagine if Siri could write you a college essay, or Alexa could spit out a movie review in the style of Shakespeare. OpenAI last week opened up access to ChatGPT, an AI-powered chatbot that interacts with users in an eerily convincing and conversational way. Its ability to provide lengthy, thoughtful and thorough responses to questions and prompts – even if inaccurate – has stunned users, including academics and some in the tech industry. The tool quickly went viral. On Monday, Open AI's co-founder Sam Altman, a prominent Silicon Valley investor, said on Twitter that ChatGPT crossed one million users.

OpenAI's newly unveiled ChatGPT bot is making waves when it comes to all the amazing things it can do--from writing music to coding to generating vulnerability exploits, and what not. As the erudite machinery turns into a viral sensation, humans have started to discover some of the AI's biases, like the desire to wipe out humanity. Yesterday, BleepingComputer ran a piece listing 10 coolest things you can do with ChatGPT. And, that doesn't even begin to cover all use cases like having the AI compose music for you [1, 2]. Within six days of its launch, ChatGPT surpassed a million users to the extent its servers couldn't keep up.

Hernaldo Turrillo is a writer and author specialised in innovation, AI, DLT, SMEs, trading, investing and new trends in technology and business. He has been working for ztudium group since 2017. Hernaldo was born in Spain and finally settled in London, United Kingdom, after a few years of personal growth. Hernaldo finished his Journalism bachelor degree in the University of Seville, Spain, and began working as reporter in the newspaper, Europa Sur, writing about Politics and Society. He also worked as community manager and marketing advisor in Los Barrios, Spain.

Kris has presented us his takeaways from the SoFiE Summer School at University of Chicago: Machine Learning and Finance: The New Empirical Asset Pricing. He particulary focused his presentation on Empirical Asset Pricing via Machine Learning, a very recent paper (this version: July 21, 2018) exploring the use of different machine learning regressions on a given dataset of economic variables to predict future stock returns. Personal opinion: To be noticed, despite being a recent paper, they have still a rather outdated view of neural networks being very general (universal approximators) non-linear regressors rather than useful representation builders, the latter being used efficiently by linear models. A big claim of the paper is that one can reach a Sharpe ratio of 2 using these neural networks (once again only an old pyramidal architecture (1993) is tested) whereas linear models only achieve a Sharpe ratio of 0.5- using the same dataset. Bagging/Boosting trees methods lie somewhere in between. It's hard to evaluate and reproduce such papers.

Runway's cofounders (from left) Anastasis Germanidis, Alejandro Matamala-Ortiz and Cristóbal Valenzuela are immigrants who met while studying as art students at New York University. Runway ML, one of the two startups behind the popular AI text-to-image model Stable Diffusion, has raised new funding at a $500 million valuation, Forbes has learned. Felicis is leading the new funding, the sources said, which comes on the heels of a boom in generative AI that has captured the public's attention in recent months thanks to releases that also include OpenAI's Dall-E and ChatGPT. Runway quickly emerged as one of the buzziest startups in the mix with its video editing software, for which the company has been releasing a bevy of generative AI features. For example, from a photo of a forest, a user can type a short text phrase into Runway's software and instantly conjure a lake or a castle among the trees.

The leading television stations serving the Birmingham television market began broadcasting with NextGen TV, a revolutionary new digital broadcast technology. Today's launch includes WABM (ABC) and WDBB (ABC and CW), WIAT (CBS), WBRC (Fox), WVTM-TV (NBC), WTTO (CW), and WSES (Heroes and Icons). Based on the same fundamental technology as the Internet and digital apps, NextGen TV can support a wide range of features that are currently in development. In addition to providing a new, improved way for broadcasters to reach viewers with advanced emergency alerts, NextGen TV features stunning video with brilliant color, sharper images and deeper contrast to create a more life-like experience. NextGen TV adds a new dimension to TV viewing, with vibrant video and new Voice dialogue enhancement that brings voices to the foreground.

Making actors look older or younger has been a eternal challenge for movie studios. It used to be achieved through fairly cumbersome and not always convincing prosthetics and makeup effects. That was then largely replaced by time-consuming digital VFX techniques, but it looks like Disney's come up with a game changer. While publicly accessible AI image generators make an impact on the creative fields, Disney has been working on a studio-quality AI model that can age (and de-age) actors in a way that looks so realistic, it's scary (for more on the use of AI in other creative fields, see how to use DALL-E 2). Making actors look older or younger isn't new. Makeup artist have done some incredible jobs on the likes of David Bowie in The Hunger (1983) and Brad Pitt in the Curious Case of Benjamin Button (2008) – the latter had 56 people working in hair and makeup.

Remember the 2014 critically acclaimed American Sci-fi rom-com Her? The Joaquin Phoenix-led movie was loved by movie-goers and tech-enthusiasts across the globe. A movie about how an introverted, lonely writer buys an AI system to help with work, only to fall in love with it. Cut to 2022, it may no longer be just an AI present in the film. On December 2, a dialogue between a The New York Times journalist and a Silicon Valley tech entrepreneur on free speech and censorship was shared by Elon Musk in a quick tweet to his 119.8 million followers, which left the Internet users in a frenzy.