Collaborating Authors


Artificial Intelligence in Manufacturing Industry is Expected to Reach US$ 11.5 Bn by 2027


PLEASANTON CA, Sept. 30, 2021 (GLOBE NEWSWIRE) -- The latest study titled "Global Artificial Intelligence in Manufacturing Market Ecosystem By Components; By Deployment; By Technology; By Application; By Device; By Region; By End Users (Logistics, Healthcare, Automotive, Retail, BFSI, Defence, Aerospace, Oil & Gas, Others) Forecast by 2027" published by AllTheResearch, features an analysis of the current and future scenario of the global Artificial Intelligence (AI) in Manufacturing Market. The Global Artificial Intelligence (AI) in Manufacturing Market was valued at USD 2.1 Bn in 2020 and is expected to reach USD 11.5 Bn by 2027, with a growing CAGR of 27.2% during the forecast period. The Artificial Intelligence in manufacturing market is forecasted to grow at a high rate owing to the accelerating innovations in industrial IoT and automation. The manufacturing industry is expected to be among the market leader in the artificial intelligence market. Further, the manufacturing industry is also expected to display the fastest growth during the forecast period due to rapid digital transformation to promote smart solutions in factories, logistics and management.

The impact of deepfakes: How do you know when a video is real?


In a world where seeing is increasingly no longer believing, experts are warning that society must take a multi-pronged approach to combat the potential harms of computer-generated media. As Bill Whitaker reports this week on 60 Minutes, artificial intelligence can manipulate faces and voices to make it look like someone said something they never said. The result is videos of things that never happened, called "deepfakes." Often, they look so real, people watching can't tell. Just this month, Justin Bieber was tricked by a series of deepfake videos on the social media video platform TikTok that appeared to be of Tom Cruise.

China has won AI battle with U.S., Pentagon's ex-software chief says


LONDON, Oct 11 (Reuters) - China has won the artificial intelligence battle with the United States and is heading towards global dominance because of its technological advances, the Pentagon's former software chief told the Financial Times. China, the world's second largest economy, is likely to dominate many of the key emerging technologies, particularly artificial intelligence, synthetic biology and genetics within a decade or so, according to Western intelligence assessments. Nicolas Chaillan, the Pentagon's first chief software officer who resigned in protest against the slow pace of technological transformation in the U.S. military, said the failure to respond was putting the United States at risk. "We have no competing fighting chance against China in 15 to 20 years. Right now, it's already a done deal; it is already over in my opinion," he told the newspaper.

Researchers Warn Of 'Dangerous' Artificial Intelligence-Generated Disinformation At Scale - Breaking Defense


A "like" icon seen through raindrops. WASHINGTON: Researchers at Georgetown University's Center for Security and Emerging Technology (CSET) are raising alarms about powerful artificial intelligence technology now more widely available that could be used to generate disinformation at a troubling scale. The warning comes after CSET researchers conducted experiments using the second and third versions of Generative Pre-trained Transformer (GPT-2 and GPT-3), a technology developed by San Francisco company OpenAI. GPT's text-generation capabilities are characterized by CSET researchers as "autocomplete on steroids." "We don't often think of autocomplete as being very capable, but with these large language models, the autocomplete is really capable, and you can tailor what you're starting with to get it to write all sorts of things," Andrew Lohn, senior research fellow at CSET, said during a recent event where researchers discussed their findings.

Opinion: Artificial intelligence is changing hiring and firing


The BDN Opinion section operates independently and does not set newsroom policies or contribute to reporting or editing articles elsewhere in the newspaper or on Keith E. Sonderling is a commissioner on the U.S. Equal Employment Opportunity Commission.The views here are the author's own and should not be attributed to the EEOC or any other member of the commission. With 86 percent of major U.S. corporations predicting that artificial intelligence will become a "mainstream technology" at their company this year, management-by-algorithm is no longer the stuff of science fiction. AI has already transformed the way workers are recruited, hired, trained, evaluated and even fired. One recent study found that 83 percent of human resources leaders rely in some form on technology in employment decision-making.

Human Detection of Machine-Manipulated Media

Communications of the ACM

The recent emergence of artificial intelligence (AI)-powered media manipulations has widespread societal implications for journalism and democracy,7 national security,1 and art.8,14 AI models have the potential to scale misinformation to unprecedented levels by creating various forms of synthetic media.21 For example, AI systems can synthesize realistic video portraits of an individual with full control of facial expressions, including eye and lip movement;11,18,34,35,36 clone a speaker's voice with a few training samples and generate new natural-sounding audio of something the speaker never said;2 synthesize visually indicated sound effects;28 generate high-quality, relevant text based on an initial prompt;31 produce photorealistic images of a variety of objects from text inputs;5,17,27 and generate photorealistic videos of people expressing emotions from only a single image.3,40 The technologies for producing machine-generated, fake media online may outpace the ability to manually detect and respond to such media. We developed a neural network architecture that combines instance segmentation with image inpainting to automatically remove people and other objects from images.13,39 Figure 1 presents four examples of participant-submitted images and their transformations. The AI, which we call a "target object removal architecture," detects an object, removes it, and replaces its pixels with pixels that approximate what the background should look like without the object.

A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches


Machine learning, with advancements in natural language processing and deep learning, has been actively used in studying political bias on social media. But the key challenge to model political bias is the requirement of human effort to label the seed social media posts to train machine learning models. Although very effective, this approach has disadvantages in the time-consuming data labeling process and the cost to label significant data for machine learning models is significantly higher. The web offers invaluable data on political bias starting from biased news media outlets publishing articles on socio-political issues to biased user discussions about several topics in multiple social forums. In this work, we introduce a novel approach to label political bias for social media posts directly from US congressional speeches without any human intervention for downstream machine learning models.

Blackbird.AI grabs $10M to help brands counter disinformation – TechCrunch


New York-based Blackbird.AI has closed a $10 million Series A as it prepares to launched the next version of its disinformation intelligence platform this fall. The Series A is led by Dorilton Ventures, along with new investors including Generation Ventures, Trousdale Ventures, StartFast Ventures and Richard Clarke, former chief counter-terrorism advisor for the National Security Council. Existing investor NetX also participated. Blackbird says it'll be used to scale up to meet demand in new and existing markets, including by expanding its team and spending more on product dev. The 2017-founded startup sells software as a service targeted at brands and enterprises managing risks related to malicious and manipulative information -- touting the notion of defending the "authenticity" of corporate marketing.

Truth or Fake - How artificial intelligence on Whatsapp can help fight disinformation


The tagline of Spanish fact-checking outlet Maldita puts readers at the centre of the team's journalistic work: the Spanish phrase "Hazte Maldito" (meaning "Be part of Maldita!") invites the public to send in potentially fake news items and ask questions about the virus. Before the pandemic, Maldita received about 200 messages a day on their WhatsApp number, occupying a full-time journalist. After the pandemic started in March 2020 in Europe, their daily messages increased to nearly 2,000. Maldita has launched a WhatsApp chatbot to automate and centralize their interactions with their community. After a user sends in a social media post to the WhatsApp number - either a photo, a video, a link, or a WhatsApp channel that's been sharing questionable content, the bot analyses the content.