Seven years ago, my student and I at Penn State built a bot to write a Wikipedia article on Bengali Nobel laureate Rabindranath Tagore's play "Chitra." First, it culled information about "Chitra" from the internet. Then it looked at existing Wikipedia entries to learn the structure for a standard Wikipedia article. Finally, it summarised the information it had retrieved from the internet to write and publish the first version of the entry. However, our bot did not "know" anything about "Chitra" or Tagore. It did not generate fundamentally new ideas or sentences.
At an online event today, Daniel Ek, the founder of Spotify, said he would invest 1 billion euros ($1.2 billion) of his personal fortune in deeptech "moonshot projects", spread across the next 10 years. Ek indicated that he was referring to machine learning, biotechnology, materials sciences and energy as the sectors he'd like to invest in. "I want to do my part; we all know that one of the greatest challenges is access to capital," Ek said, adding he wanted to achieve a "new European dream". "I get really frustrated when I see European entrepreneurs giving up on their amazing visions selling early on to non-European companies, or when some of the most promising tech talent in Europe leaves because they don't feel valued here," Ek said. "We need more super companies that raise the bar and can act as an inspiration."
Artificial intelligence has become a technological buzzword, often solely referred to AI rather than depicting the possibly infinite amount of practical applications that artificial intelligence can actually provide, or the intricacies involved from industry to industry, and region to region. To discuss some of the many applications for artificial intelligence, as well as some of the considerations to be taken into account to create more accurate and less biased machine learning systems, I had the pleasure of speaking with Nitendra Rajput, VP and Head of Mastercard's AI Garage. Nitendra Rajput is the Vice President and Head of Mastercard's AI Garage, setting up the centre to enable it to solve problems across various business verticals globally with machine learning processes, increasing efficiencies across the business as well as mitigating instances of fraud. Nitendra has over 20 years experience working in the fields artificial intelligence, machine learning, and mobile interactions, after realising a gap in the market for developing speech recognition systems for vocally-led countries, such as India. Prior to Mastercard's AI Garage, he spent 18 years at IBM Research, working on different aspects of machine learning, human-computer interaction, software engineering and mobile sensing.
Easter, Passover, Holi, and Ramadan were just a few of the religious milestones that used virtual tools during the pandemic to replace traditional observation. The intersection of technology and spirituality is coming much faster than many expected. In the 1983 Star Wars film Return of the Jedi, artificially intelligent android C3P0 finds out what it's like to become the subject of worship. "They think I'm some sort of God," he said, as fuzzy creatures hover around him chanting in prayer. But the intersection of machines and religion is happening in real life.
Doron Adler and Justin Pinkney, two software engineers, recently released a "Toonification translation" AI model that turns real faces into flawless cartoon representations. And while the toonification tool, "Toonify," was originally available to the public, it became too popular to sustain cheaply. But some people managed to Toonify a ton of celebrities before the tool was pulled, and all the animations are stellar. After much training of neural networks @Norod78 and I have put together a website where anyone can #toonify themselves using deep learning!https://t.co/OQ23p30isC In a series of blog posts, which come via Gizmodo, Pinkney outlines how he and Adler created Toonify.
I grew up in the Star Wars era. I remember sitting rapt in the theater, watching Luke Skywalker and Han Solo battle the dark forces in one intergalactic battle after another. So it's not lost on me when I read an article like this one in Popular Mechanics detailing how Artificial Intelligence (AI) is putting us closer to a Star Wars world every day. Beyond the clouds, AI is helping citizens prepare for the COVID-19 crisis. Not to mention recognizing and interpreting human emotions.
We were used to hearing that we'll be out of a job in twenty years, because of robots. Then the virus came, and now many are out of a job a bit faster, and not because of anything more intelligent or capable than themselves. Here are five currently existing robots that score pretty high on the creepiness scale, even without threatening to take away one's job. Sophia has somehow become the flagship of humanoid robotics. Constructed in Hong Kong, it has taken part in major TV talk shows and has been granted Saudi Arabian citizenship, although it is, essentially, not more than a "chatbot with a face" . What the citizenship thing really means is unclear: Can Sophia vote?