If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
SIP Global Partners (SIP GP) invest $2.0 million as part of a $2.7M round to power Croquet's market penetration and customer growth Croquet Corporation announced the release of its transformational platform for the development of Live Collaboration apps and games. The company has raised a seed round investment of $2.7M, including $2.0 million from SIP Global Partners (SIP GP) to introduce the platform to developers in key market segments. "Croquet will unleash a wave of innovation that will define massive new markets as the 5G and augmented reality markets go mainstream around the world." Developers can sign up today for the Croquet Software Development Kit (SDK) at https://croquet.io. Croquet's revolutionary software is powered by a global edge reflector network, optimized for co-deployment with 5G modems that will foster a new generation of shared, interactive, and collaborative experiences.
As a precursor to research about Sentiment Analysis with Text Classifiers (Naive Bayes, Maximum Entropy, SVM), Sentiment Analysis with bag-of-words was done and Positive / Negative Sentiment was detected with an accuracy of 60%. This is when only unigrams are used. This percentage will be much when bigrams or trigrams are used (in a next blog-post). See the results at: part 1: http://tinyurl.com/gnlfqqm
When every single element in the technological space is rapidly changing, it is evident for some of them to go obsolete. Not just technology but the literature of technology also loses its essence with time. A few years ago, machine learning (ML) or artificial intelligence (AI) were terms used to fascinate people. In 2020, these words do turn heads, but people are now used to these terms as they are a part of everyday dinner table conversations for many. However, there is no shortage of new terms in the landscape, which are gaining prominence.
Today, the Commission unveils its ideas and actions for a digital transformation that works for all, reflecting the best of Europe: open, fair, diverse, democratic and confident. It presents a European society powered by digital solutions that put people first, opens up new opportunities for businesses, and boosts the development of trustworthy technology to foster an open and democratic society and a vibrant and sustainable economy. Digital is a key enabler to fighting climate change and achieving the green transition. The European data strategy and the policy options to ensure the human-centric development of Artificial Intelligence (AI) presented today are the first steps towards achieving these goals.
AIQ, the brain behind Signal AI's media monitoring and market intelligence platform, will upgrade the organisation's proprietary artificial intelligence Today, Signal AI, one of the leading companies transforming how business leaders make sense of the world's information, has announced the launch of AIQ, the next generation of AI technology powering their media monitoring and market intelligence platform. AIQ enhances the proprietary artificial intelligence underpinning Signal AI's platform and heralds a step-change in the use of AI to address common public relations challenges. The PR and communications industry is poorly served by incumbent legacy technology that has failed to meaningfully integrate artificial intelligence. Signal AI's introduction of AIQ to the market further distinguishes them as the pioneer in this space, offering real AI technology that delivers tangible results to PR professionals and beyond. The first in a series of new features to be powered by AIQ will be Signal AI's "Briefings".
For the first time, artificial-intelligence experts have created a place to collaborate, Climate Change AI. Some are mining the massive data of remotely-sensed emissions streams. Some are accelerating materials discovery for solar fuels by combining machine learning and physics to figure out a proposed material's crystal structure. Some are using system optimization to consolidate freight and route it more efficiently. Others are deploying agricultural robots armed with spectral cameras in hope of reducing fertilizer use in farming.
LONDON – The European Union is unveiling proposals to regulate artificial intelligence that call for strict rules and safeguards on risky applications of the emerging technology. The report on artificial intelligence released Wednesday is part of the bloc's wider digital strategy aimed at maintaining its position as the global pacesetter on technological standards. The EU's executive Commission said it wants to develop a "framework for trustworthy artificial intelligence." European Commission President Ursula von der Leyen had ordered her top deputies to come up with a coordinated European approach to artificial intelligence and data strategy 100 days after she took office in December. Clear rules are needed to address "high-risk AI systems" such as those in health, policing or transport, which should be "transparent, traceable and guarantee human oversight," the EU said.
Kaskada, a machine learning company that provides a unified platform for feature engineering, announced it completed a Series A funding round totaling $8 million. The investors include, among others, Voyager Capital, NextGen Venture Partners, Founders' Co-op, and Walnut Street Capital Fund. The total amount raised to date by Kaskada is $9.8 million. Kaskada helps organizations make better predictions and increase the speed of innovation by integrating data science and data engineering workflows. Kaskada delivers an end-to-end platform for feature engineering and feature serving, including a collaborative interface for data scientists and robust data infrastructure for computing, storing, and serving features in production.