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Information Technology

First to Launch Coding, Robotics Courses in Govt Schools, Goa Sets Example for All States


In a move that aims to benefit 65,600 students and 540 teachers from government and government-aided schools in Goa, the State government in March this year implemented its novel and first of its kind in India – Coding and Robotics Education in Schools Scheme from the academic year 2021-22. The scheme aims to incorporate computational and design thinking abilities, as well as programming, into the Goa state board curriculum to prepare students to the needs of the digital world in the 21st century. It was introduced by Chief Minister Dr Pramod Sawant, who is also the Minister of Education. The State government is looking to make this sort of skill education (coding and problem solving skills) accessible to school-going children from all sections of society. This scheme is a collaborative effort of the Directorate of Technical Education (DTE), Directorate of Education, State Council Educational Research and Training (SCERT) and industry experts.

A look back at the Unesco recommendation establishing ethical rules for artificial intelligence - Actu IA


Audrey Azoulay, Director-General of UNESCO, presented last week the first-ever global standard on the ethics of artificial intelligence, adopted by UNESCO's 193 Member States at the international organization's General Conference. UNESCO had highlighted back in November 2019 the need for regulatory frameworks at the national but also international level to ensure that innovative AI technologies can benefit all humanity. This recommendation, the result of the work of 24 international experts appointed on March 11, 2020, sets a global normative framework and gives its member states the responsibility to translate this framework at their level. Over the past decade, AI has experienced a considerable boom. Experts agree that humanity is on the threshold of a new era and that artificial intelligence will transform our lives in ways we cannot imagine.

A No-Code Approach to Building Knowledge Graphs


Let's take a look at the visualization of the knowledge graph we built. We do this by clicking the Graph tab at the top bar, where the page will then display the graph diagram (based on a random sample of the entire network). The red nodes represent the drugs, while the blue nodes represent the side effects. We can easily see that Aspirin has the highest number of side effects based on node size. When we select a single side effect, e.g., hyporeflexia, we can see which drugs can potentially cause that specific side effect.

3 Artificial Intelligence Stocks Leading the New Wave


The savvy investor keeps their eyes forward, toward the horizon. Right now, the sea of tech is the one to watch, and the ships coming into view are flying AI's flag. This is not a new development, it's been on course for several years – but as an investment sector, it's heating up. AI is the tech that will power our digital systems for years to come, everything from our smartphones to our cars to Elon Musk's Mars rockets. AI isn't just one technology, rather, it's a range of techs – and approaches to tech – including the data collection and analysis that feeds machine learning.

For truly ethical AI, its research must be independent from big tech Timnit Gebru

The Guardian

A year ago I found out, from one of my direct reports, that I had apparently resigned. I had just been fired from Google in one of the most disrespectful ways I could imagine. Thanks to organizing done by former and current Google employees and many others, Google did not succeed in smearing my work or reputation, although they tried. My firing made headlines because of the worker organizing that has been building up in the tech world, often due to the labor of people who are already marginalized, many of whose names we do not know. Since I was fired last December, there have been many developments in tech worker organizing and whistleblowing.

Call for AI-themed holiday videos, art and more


You'd better not run, you'd better not hide, you'd better watch out for brand new AI-themed holiday material on AIhub! Drop your videos, AI generated art, pictures, poems, algorithms, datasets, or anything else you can think of, down our chimney at We'll be posting the best content through December and January. You can also see our featured content from 2019 here.

What Will Work Look Like in 2022? (Hint: Not the Metaverse)


WIRED started this Work Smarter column in the hopes of helping you navigate the complex changes happening in the world of work, from hybrid working to diversity and inclusion and even bringing your pandemic pup to the office. So, for the last edition, I've spoken to industry leaders about what they think will be the trends that shape work in 2022. But after hearing from so many business and leadership experts--recently and over the past few months--I naturally have a few thoughts of my own. Here's what 2022 looks like to me. Though aspects of it may drip into our daily working lives to make Zoom calls and online collaboration slightly less awkward, when we want to get together in the same space, we'll do it in the good old-fashioned meatspace.

Most Latin companies using AI have profited from the technology


Most companies using artificial intelligence systems in Latin America have profited from the use of the technology, according to research from consulting firm Boston Consulting Group (BCG) and MIT Sloan Management Review (SMR). According to the Cultural Benefits of Artificial Intelligence in the Enterprise study, more than half (51%) of companies using AI in the region managed to generate profit from the use of technology, with financial return considered high by 7% of the companies polled. However, the numbers in Latin America are below the global average: 55% of the AI enterprise users polled worldwide registered profit through the use of the technology, with 11% generating a high profit. Artificial intelligence in the real world: What can it actually do? What are the limits of AI?

Artificial Intelligence (AI) Transforming Construction Industry for Improved Efficacy


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Fine-Tuning Language Models the Easy Way with blather


If you want to skip ahead and just see how to fine-tune your own dataset you can skip the rest of the article and just check out the colab notebook! Presenting guest lectures is one of my favorite things; all the joy of teaching without any of the responsibility. My goal in a lecture is to get the students excited about machine learning, get them playing around with practical examples, and then get the heck out of the way. This week I had the opportunity to talk with some students from the University of Arizona's Cyber program about machine learning. In a pre-lecture survey on questions one of the major concerns the students in the class identified was the developing threat of high-fidelity bots capable of influencing conversations on social media.