![The 'Big Little' Problem In HARNESSING AI To Revolutionise Workplaces The 'Big Little' Problem In HARNESSING AI To Revolutionise Workplaces](https://cdn.magzter.com/Electronics For You/1719561691/articles/u7tct1brZ1721210158176/THE-BIG-LITTLE-PROBLEM-IN-HARNESSING-AI-TO-REVOLUTIONISE-WORKPLACES.jpg)
Imagine a world where artificial intelligence (AI) not only emulates human intelligence but also enhances its performance with each interaction, constantly improving over time. This concept might seem familiar as AI has been a topic of discussion for decades, yet recent developments are propelling us towards a pivotal moment in its evolution. One such indicator of this shift is a report by Goldman Sachs, which suggests a staggering potential loss of 300 million jobs worldwide due to AI advancements. Despite these alarming predictions, there is a silver lining: AI has the power to significantly boost efficiency and effectiveness in our work—as a digital assistant, challenging the notion that it could replace us outright.
As we delve deeper into the realm of AI, recent updates such as the release of ChatGPT-4 and its predecessor, ChatGPT-3.5, exemplify the rapid progress in generative AI models. These advancements are not just technical milestones; they represent a paradigm shift, augmenting human intelligence and driving productivity. This ongoing evolution echoes the transformative impact of the Industrial Revolution, suggesting that AI could enable unprecedented levels of automation in various business processes, from operations, sales and marketing to accounting, finance, and beyond.
A new era of productivity
Every piece of data around, from weather updates, supply chain advancements or disruptions, market trends to social media buzz and breaking news, holds the potential to propel a business forward. Within enterprises, data streams in constantly through emails, instant messages, data from ERP and control systems, departmental reports, yet a staggering 95% of it barely sees the light of day in terms of its full potential use. This reality begs the question of how we can harness this vast sea of information to our advantage.
Denne historien er fra July 2024-utgaven av Electronics For You.
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Denne historien er fra July 2024-utgaven av Electronics For You.
Start din 7-dagers gratis prøveperiode på Magzter GOLD for å få tilgang til tusenvis av utvalgte premiumhistorier og 9000+ magasiner og aviser.
Allerede abonnent? Logg på
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Automation is now integral to daily life, with mobile phones serving as essential tools.
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A function generator produces square, sine, and triangular waveforms across frequencies up to 100kHz. It plays a vital role in testing, repairing, and developing electronic equipment, serving as a signal source for amplifier testing and frequency response analysis.
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Artificial intelligence for gesture detection and classification has transformative potential across industries, from healthcare to manufacturing and consumer devices.
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All AI models, especially large language models (LLMs), are prone to hallucinating—that is, they sometimes give wrong or fictitious responses that appear correct. Experts recommend providing unambiguous prompts and cross-checking responses before making decisions based on them.
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Your smartphone detects defects smaller than a virus using AOI, laser, and X-ray systems. These machines don’t just see—they think. These innovations, from AI-driven defect detection to Nano-CT systems revealing hidden flaws, reshape quality control in electronics manufacturing.
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Graphene is reshaping industries—extending the electric vehicle range, cutting data centre energy costs, and sparking quantum tech innovations. This article is based on EFY’s Ashwini Kumar Sinha and Nidhi Agarwal’s conversation with John Tingay of Paragraf to discuss the science driving this shift.
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