Goto

Collaborating Authors

in ai


How we remember could help AI be less forgetful

#artificialintelligence

A brain mechanism referred to as "replay" inspired researchers at Baylor College of Medicine to develop a new method to protect deep neural networks, found in artificial intelligence (AI), from forgetting what they have previously learned. The study, in the current edition of Nature Communications, has implications for both neuroscience and deep learning. Deep neural networks are the main drivers behind the recent fast progress in AI. These networks are extremely good at learning to solve individual tasks. However, when they are trained on a new task, they typically lose the ability to solve the previously learned task completely.


Here Are The Skills One Needs For A Career In AI - Express Computer

#artificialintelligence

Reports state that a large number of companies are really keen to pull specialist talents in artificial intelligence and machine learning. This has resulted in a 51% spike in job postings that have been seen during the last year. The times now are quite uncertain and despite the dreaded uncertainty that has been felt throughout 2020, the prevalence and existence of AI has been undeniable. Most researchers and specialists in AI have represented the fastest-growing role all across the world. As per a recent report from data job site Indeed, AI jobs have seen a recent explosion with a steady hike over the last five years.


Debunking the Myths in Artificial Intelligence! - Africa Data School

#artificialintelligence

AI will take your job, AI can sort out even the messiest data, AI will take over the world, AI is new. AI has been touted in the recent past, with it comes myths that often lead to misunderstanding of the technology. Eliezer Yudkowsk says that "By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it." In this article, we take a look at the top myths about Artificial intelligence we get to see what is true and what is not. "understanding is much deeper than knowledge there are very many people who know artificial intelligence but very few understand AI" AI dates back to the 19th century when an English mathematician and writer, Lady Ada Lovelace predicted that "a machine might compose elaborate and scientific pieces of music of any degree of complexity or extent" this was later advanced in the 1940s when a Bombe machine was created by Alan Turing.


AI Looms Large in Race for Global Superiority

#artificialintelligence

The United States and its great power rivals are taking different paths in their pursuit of artificial intelligence (AI), but all three are devoting significant resources to what they believe will be a game changer. Their uses of AI also are likely to be different, as their approach to ethics varies according to each nation's principles. A breakout session panel provided a global view on the race for AI during the third and final day of the AFCEA/INSA Intelligence and National Security Summit being held online September 16-18. Panelists assessed the differences in AI research and applications among Russia, China and the United States. Russia trails China and the United States in all metrics of AI, stated Margarita Konaev, research fellow, Center for Security and Emerging Technology. However, its military is leading the country's efforts to catch up in key areas, most of which involve military applications.


Putting the 'eye' in AI: What can computers teach us about human vision?

#artificialintelligence

Studying how AI process visual information could help humans understand our own visual system. Artificial intelligence (AI) systems used for facial recognition are notorious for their racial and gender bias. The lack of diversity in the photographic data used for AI training is usually highlighted as the root cause. Well, it turns out that the human brain has the same problem – and we don't really know why. The own-race bias is a phenomenon where humans struggle differentiating between individuals of another race.


Leaders versus Laggards in AI: Latest Findings on Generating ROI from AI

#artificialintelligence

The gap between leaders versus laggards in AI has widened significantly in the last 6 months, even as leaders are investing big time on pilot projects to transform business teams with AI and Deep Learning. In a powerful survey finding, market research firm ESI ThoughtLab has found out APAC region leads (14.1 Billion USD) in average revenue earned through the adoption of AI applications in 2020. North America ($13.9 billion) and EU ($12.7 Billion) have also reported significant revenue growth from AI adoption. Laggards in AI can drive home success with AI investments by developing a culture of learning and sharing knowledge. ESI ThoughtLab reports AI leaders are constantly amplifying their data science talent pool by acquiring AI businesses.


Interpreting the Scope of AI job Market in the US in current times.

#artificialintelligence

We are living in a time where everything is digital. Disruptive technologies like artificial intelligence (AI) has become central to this transformation. From retail to Fintech and cybersecurity to predictive analytics, tech pundits avow that AI now plays an essential cog in the future of these industries and disciplines. However, through some alarmists argue that AI is stealing jobs through automation and robotics, on the contrary, it has been observed that AI is also adding new job roles every day to the existing employment pool. Researchers have tracked down new job roles, occupations and emerging industries, in the AI landscape that can help us understand the job market better.


Major survey highlights Europeans' fears over AI – Government & civil service news

#artificialintelligence

Less than 20% of Europeans believe that current laws "efficiently regulate" artificial intelligence, and 56% have low trust in authorities to exert effective control over the technology, according to a new survey from the European Consumer Organisation (BEUC). The findings have important implications for the governance and design of AI-powered public services, emphasising the need to address citizens' fears over transparency, accountability, equity in decision-making, and the management of personal data. The BEUC surveyed 11,500 consumers in nine European countries: Belgium, Denmark, France, Germany, Italy, Poland, Portugal, Spain and Sweden. It found that while a large majority of respondents feel that artificial intelligence (AI) can be useful, most don't trust the technology and feel that current regulations do not protect them from the harms it can cause. It also found that 66% of respondents from Belgium, Italy, Portugal and Spain agree that AI can be hazardous and should be banned by authorities.


Want a career in AI? Here are the skills you need in 2020

#artificialintelligence

Despite the dreaded, looming uncertainty felt throughout 2020, the prevalence of Artificial Intelligence (AI) has been undeniable. Over the last four years, AI specialists reportedly represent the fastest-growing role in the United States. According to recent data from job site Indeed, jobs in AI have seen a recent explosion with a steady hike over the last five years. The report notes that AI job postings have gone up consistently over the past two years, with a 46% hike between 2018-2019, and a 51% spike between 2019-2020. The dramatic increase in job openings within AI hasn't gone unnoticed by savvy job seekers in the market.


Top 3 AI Engineer Certifications You Should Not Miss In 2020

#artificialintelligence

AI is one of the hottest buzzes today, and it keeps growing. According to the LinkedIn Emerging Jobs Report 2020, Artificial Intelligence continues to make strong strides in terms of future prospects. The automation industry is hiring for AI talent for a variety of roles across sectors. AI engineers are working as specialists in robotics, consumer electronics, finance, IT, and even data science. The report states, the hiring for AI engineers has grown by 74% annually in the past 4 years.