"Waiting in front of the lecture hall for my next class to start, and beside me two students are discussing which AI program works best for writing their essays. Is this what I'm marking? The tweet by historian Carla Ionescu late last month captures growing unease about what artificial intelligence portends for traditional university assessment. "Tell me we're not there yet." But AI has been banging on the university's gate for some time now. In 2012, computer theorist Ben Goertzel proposed what he called the "robot university student test", arguing that an AI capable of obtaining a degree in a same ways as a human should be considered conscious. Goertzel's idea – an alternative to the more famous "Turing test" – might have remained a thought experiment were it not for the successes of AIs employing natural language processing (NLP): most famously, GPT-3, the language model created by the OpenAi research laboratory. Two years ago, computer scientist Nassim Dehouche published a piece demonstrating that GPT-3 could produce credible academic writing undetectable by the usual anti-plagiarism software. "[I] found the output," Dehouche told Guardian Australia, "to be indistinguishable from an excellent undergraduate essay, both in terms of soundness and originality.

When British artist Harold Cohen met his first computer in 1968, he wondered if the machine might help solve a mystery that had long puzzled him: How can we look at a drawing, a few little scribbles, and see a face? Five years later, he devised a robotic artist called AARON to explore this idea. He equipped it with basic rules for painting and for how body parts are represented in portraiture -- and then set it loose making art. Not far behind was the composer David Cope, who coined the phrase "musical intelligence" to describe his experiments with artificial intelligence–powered composition. Cope once told me that as early as the 1960s, it seemed to him "perfectly logical to do creative things with algorithms" rather than to painstakingly draw by hand every word of a story, note of a musical composition or brush stroke of a painting.

Soon enough — thanks to new techniques rooted in machine learning and artificial neural networks, in which connected computing nodes attempt to mirror …

DECEMBER 30, 2021 – Naval Surface Warfare Center, Crane Division (NSWC Crane), Office of Naval Research (ONR) and the NavalX Midwest Tech Bridge (MTB) recently announced the winners of the Artificial Intelligence for Small Unit Maneuvers (AISUM) Prize Challenge. EpiSys Science, Inc. (Episci) took first place and Draper, Inc. (Draper) took second place. According to their website, Episci is "a multidisciplinary innovation company that develops next-generation autonomous technologies for defense, aerospace, and commercial applications." Draper's website says the organization "serves our nation's interests and security needs; advances technologies at the intersection of government, academia, and industry; cultivates the next generation of innovators; and solves the most complex challenges." "The overall goal of this challenge was to move the technology needle," said Amy Ross, Program Manager for the AISUM Prize Challenge.

The importance of digital transformation has accelerated manifold in the last few months as Covid-19 has brought to the fore the importance of digital technologies including artificial intelligence in addressing the healthcare crisis, restarting supply chains, enabling online education and almost every aspect of the economy. MeitY is organizing RAISE 2020 – Responsible AI for Social Empowerment 2020, a Global Summit on Artificial Intelligence to be held virtually from 5th Oct to 9th Oct 2020. Experts from Industry, Academia and Government from all across the world will be participating in this Global summit, which will bring together all stakeholders on Artificial Intelligence on one platform. AI has the power to solve many societal challenges and be an enabler for inclusion, there is a need to promote and identify such innovative solutions. In order to promote and showcase such innovative AI solutions developed by Indian startups, an AI Solution Challenge is being organized for Indian startups in the field of Artificial Intelligence.

IBM Watson joined forces with the X Prize Foundation to launch an open 5 million challenge to build an artificial intelligence app for healthcare that could also be used in other industries, including education, energy, the environment, global development or even exploration. "In the coming decade, as X Prize strives to achieve its impact mission through incentive competitions and crowd-sourcing, we see tremendous opportunity in this emerging generation of problem solvers to use AI to solve humanity's grandest challenges," X Prize CEO Marcus Shingles said in a statement. "The IBM Watson AI X Prize is intended to promote and progress the notion of'AI for impact' among the global bold innovator crowd, both the established community of practitioners, as well as encourage newcomers to experiment and ultimately demonstrate how AI can be used as a tool for good." Unlike previous X Prizes, including the Tricorder X Prize, in which companies are vying to develop a handheld medical scanner, and the original Ansari X Prize for suborbital flight, this contest allows the participants to define their own goals and to focus on solving different problems. "Rather than set a single, universal goal for all teams, this competition allows teams to define their own challenges and demonstrate their solutions, encouraging myriad problem-solving approaches," Amir Banifatemi, X Prize lead for the IBM Watson AI competition, said in a statement.