The internationally renowned Dan David Prize, headquartered at Tel Aviv University, annually awards three prizes of $1 million each to globally inspiring individuals and organizations. The total purse of $3 million makes the prize not only one of the most prestigious, but also one of the highest-value prizes internationally. Laureates are selected on the basis of their outstanding achievements and contributions in the year's chosen fields, each representing a time category. This year's fields are Cultural Preservation and Revival (Past category), Gender Equality (Present category) and Artificial Intelligence (Future category). Professor Amnon Shashua, co-founder and CEO of Mobileye, and Dr. Demis Hassabis, co-founder and CEO of DeepMind, have been named the 2020 Dan David Prize laureates in the field of artificial intelligence (AI).

Imagine being able to hear exactly what's under the hood of any piece of recorded music. You upload a file and a few minutes later, a song like "Born to Run" splits apart to reveal its secrets. Each player's mastery is laid bare: There's Bruce Springsteen's isolated vocal take, every murmur and cry heard clearly; Garry Tallent's propulsive bassline; Clarence Clemons' fired-up saxophone solo; and that memorable sprinkling of glockenspiel, courtesy of Danny Federici. Such is the promise of Spleeter, a free, open-source AI tool that was developed and released by the streaming service Deezer late last year. Using a process called source separation, Spleeter splits the audio file of any given song into four new audio "stems," which isolate particular instruments or groups of instruments: vocals, bass, drums, and so on.

Augmented Reality is still developing as a technology, but is beginning to move into the mainstream. The big tech companies are scrambling to build sustainable AR ecosystems to gain early foothold in the potentially lucrative market, while specialist firms are focusing on areas like content development. In 2018, Alibaba, the Chinese ecommerce giant launched Taobao Buy, an app that aims to make online shopping more interactive. The app, accessible via Microsoft's HoloLens headsets, allows users to browse and interact for a select range of products from Alibaba's online store. Alibaba acquired Infinity AR and has also invested in Augmented Reality companies like WayRay and Magic Leap.

Organize songs, albums, and artists in groups with shared similarity could be done with the help of genre labels. In this paper, we present a novel approach for automatic classifying musical genre in Brazilian music using only the song lyrics. This kind of classification remains a challenge in the field of Natural Language Processing. We construct a dataset of 138,368 Brazilian song lyrics distributed in 14 genres. We apply SVM, Random Forest and a Bidirectional Long Short-Term Memory (BLSTM) network combined with different word embeddings techniques to address this classification task. Our experiments show that the BLSTM method outperforms the other models with an F1-score average of $0.48$. Some genres like "gospel", "funk-carioca" and "sertanejo", which obtained 0.89, 0.70 and 0.69 of F1-score, respectively, can be defined as the most distinct and easy to classify in the Brazilian musical genres context.

We look at whether machine learning can predict the final objective function value of a difficult combinatorial optimisation problem from the input. Our context is the pattern reduction problem, one industrially important but difficult aspect of the cutting stock problem. Machine learning appears to have higher prediction accuracy than a na\"ive model, reducing mean absolute percentage error (MAPE) from 12.0% to 8.7%.

Siri, Cortana, Alexa, Watson, Bixby, Viv, M, Google Assistant and the list goes on and on……. Along with all the above personal assistants in the real world, one of the most famous personal assistants of 21st century is the one and only'Jarvis' from the movie'Iron man' & 'Avengers', big ticket projects from the Marvel Cinematic Universe. The sheer concept of a personal assistant facilitated by technology is groundbreaking and similar is the stature of breakthrough technology which has been leveraged to accomplish it, which goes by the name of, Cognitive Computing. Cognitive Computing was used for the very first time by IBM. It developed Watson, a unique response-capable computing system, which was built to compete against humans on the popular game show called, Jeopardy.

Have you ever wished that you had someone who would guide you through your shopping list, or give you an informed suggestion on what to buy for any particular purpose? In today's day and age given we have so many options and advertisements cluttering our minds with unnecessary trivia about various products which we may or may not need, it is important to think beyond this. Product plug-ins are becoming increasingly common for various platforms like YouTube and Instagram to name a few. While they are able to target the audience much better than the more conventional modes of advertisement like television or newspapers, they still lack that personal touch. Now imagine an AI-based system that will be able to address this problem by establishing a personalized database.

One of my favorite Talend customer success stories is the International Consortium of Investigative Journalists (ICIJ). I love this story not only because they transformed investigation journalism with data, won the Pulitzer prize for the Panama papers, and helped the public to recover billions of dollars lost to illegal tax evasion. The story is also fascinating because they managed to decipher intelligence out of highly disparate and unknown data that they got from some of the history's largest data leaks. By retro-engineering massive amounts of raw data using Talend and other innovative data management tools, they revealed some of the most important stories in the world. This is the power of data intelligence.

Until 2019, it has been the case that if you come across several paragraphs of text on a consistent topic with consistent subjects, you can assume that text was written or structured by a human being. That is no longer true. Over the past year, AI researchers designed computer programs with the ability to generate multi-paragraph stories that remain fairly coherent throughout. As we explain in the video above, these programs create passages of text that seem like they were written by someone who is fluent in the language but possibly faking their knowledge. I'm not sure we needed an automated version of that person, but here it is: Depending on how you look at it, this technology is a powerful bullshit machine or a promising tool for artists. So far, the creative uses seem to outnumber the malicious ones, but it's not difficult to imagine how text-fakes could cause harm, especially since these models have been widely shared and are now deployable by anyone with basic know-how.

Love is evidence that we are recognised as individuals, as significant. Love is what we are asked to set aside in the name of progress under a revolutionary regime. Love, too, is imperilled by automation, given how it minimises human contact. Two great loves sit at the heart of Cao Fei's feature-length film Nova from last year: a romance between two computer scientists – one Russian, one Chinese – and the relationship between the latter and his son. Both loves fall foul of Sino-Soviet progress.