What better time for a "next-generation" version of art to come crashing into the art world than 2021? After all, this is the unprecedented year that saw an explosion of demand and sales of NFTs or non-fungible tokens, which are inextricably tied to crypto-currency and blockchain technology. Specifically, we're now talking about art created by "artficial intelligence"… yes, the machines are taking over art too. In 2018, Christie's sold Portrait of Edmond de Belamy (2018), the first-ever original work of art created using artificial intelligence to come to auction (it sold for $432,500 against a high estimate of $10,000), Inspired by reports of the sale, Ben Kovalis and two like-minded childhood friends from Israel, Eyal Fisher and Guy Haimovitz, launched the Art AI Gallery one year later, in late 2019. It involves collections of curated work made using an algorithm that was created over the course of six months and then refined over the next year and a half.
AI technology has grown in leaps and bounds over the past few years, and one of its main implementations is internet search engines. From correcting misspelled words to predicting what a user wants to search for, AI has made searching the web so much easier. Google is the leader when it comes to the sheer volume of search queries that it handles. Naturally, it has implemented an AI-based algorithm that helps improve your search experience. Exactly how does AI do this?
How the board should understand and consider AI is, of course, highly dependent on the usage scenarios for AI within the organization. An organization might utilize AI purely as a decision-making support tool with the capability to better structure and analyze the available data. A more integrated approach could be to connect AI into the organization's operational processes. More advanced usage could be taking AI to customers as part of an existing product or offering. And its deepest role would emerge where an entire product is architected on top of AI capabilities.
All the sessions from Transform 2021 are available on-demand now. Companies could spend nearly $342 billion on AI software, hardware, and services in 2021. That's according to the latest edition of IDC's Worldwide Semiannual Artificial Intelligence Tracker, which forecast that the AI market will accelerate in 2022, with 18.8% growth, and remain on track to break the $500 billion mark by 2024. For its report, IDC surveyed over 700 large enterprises across a total of 27 countries and five rest-of regions. While the report suggests the competitive AI landscape remains highly fragmented, 2020 was the year that strengthened the value of enterprise AI, according to IDC's Ritu Jyoti.
In recent years, Mexican startups have emerged considerably, so much so that many of them have become benchmarks not only in the region, but throughout the world. The reasons are various, from the enormous talent and potential that entrepreneurs have to exploit new digital technologies, to the geostrategic position that the country has. Another factor that has a favorable influence is that currently in Mexico there are various supports, coming from both the private and government sectors, that promote the emergence of innovative and technological service startups . And it is that for the national economy to continue growing, industries must have businesses that bet on innovation and that implement 4.0 technologies such as: Artificial Intelligence (AI), Big Data, Robotics, Blockchain, Machine Learning, Cloud Computing, among other. From emerging companies That focus on fintech, e-commerce and retail solutions, there are many Mexican Artificial Intelligence startups with a global profile .
The Mac's mouse, the iPod's click wheel, the iPhone's multitouch display, and the Apple Watch's digital crown are all part of Apple lore in which a new device class mandated a new user interface. But there's a significant exception to that established pattern: Siri. The voice agent emerged as a way to control some of the iPhone's features but was never a way to completely control it the way Alexa served as the Echo's main user interface. Rather, it could retrieve bits of information and complete simple tasks online. Now, an app called Natural seeks to go beyond what agents such as Siri and Alexa can achieve in terms of transactions while remaining wed to the smartphone's -- or any connected device's -- touchscreen.
Twitter is applying the bug bounty model to machine learning. The micro-blogging site has launched the industry's first algorithmic bias bounty competition. The challenge was created to identify potential harms in Twitter's notorious image cropping algorithm, which was largely abandoned after exhibiting gender- and race-based biases. Attend the tech festival of the year and get your super early bird ticket now! The company now wants to incentivize the community to find further unidentified risks of the algorithm.
Generally, e-commerce websites experience huge traffic on the website during the vacation phase or when there's a purchase on your website. Other business websites experience incoming traffic during business-related events. During such events, you can't just believe the human staff to attend to all the queries and resolve the concerns efficiently. Even your live chat staff wouldn't be ready to help your customers by providing satisfactory communication. Here comes the role of chatbots.
For about six months last year, Nina Nørgaard met weekly for an hour with seven people to talk about sexism and violent language used to target women in social media. Nørgaard, a PhD candidate at IT University of Copenhagen, and her discussion group were taking part in an unusual effort to better identify misogyny online. Researchers paid the seven to examine thousands of Facebook, Reddit, and Twitter posts and decide whether they evidenced sexism, stereotypes, or harassment. Once a week, the researchers brought the group together, with Nørgaard as a mediator, to discuss the tough calls where they disagreed. Misogyny is a scourge that shapes how women are represented online.
Last Wednesday we started this series of posts showcasing the plenary and keynote talks from the IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems). This is a great opportunity to stay up to date with the latest robotics & AI research from top roboticists in the world. Bio: Frank Dellaert is a Professor in the School of Interactive Computing at the Georgia Institute of Technology and a Research Scientist at Google AI. While on leave from Georgia Tech in 2016-2018, he served as Technical Project Lead at Facebook's Building 8 hardware division. Before that he was also Chief Scientist at Skydio, a startup founded by MIT grads to create intuitive interfaces for micro-aerial vehicles.