Showing 1 to 10 of 38 results.
https://makerv2.webteractive.co/blog/should-we-let-ai-develop-curiosity-algorithms
Artificial intelligence (AI) has been around for a while now, but it is evolving. Engineers have created a software with Darwinian theory, allowing programs to improve themselves without human input.
https://makerv2.webteractive.co/blog/no-ai-is-not-going-to-steal-your-job
While many people believe the advent of artificial intelligence is going to steal away all hard-working professionals' jobs, that is actually the opposite of the truth. AI enhances engineering and helps engineers streamline and perfect their designs more than ever before.
https://makerv2.webteractive.co/blog/ai-accelerators-and-how-engineers-can-utilise-them
Understanding the role of AI accelerators in artificial intelligence gives an insight into its benefits in the world of electronics and computing, particularly as our collective interests in human-level intelligence increase. We look at the technology and how it may benefit engineers.
https://makerv2.webteractive.co/blog/what-ai-can-do-for-tech-development-and-what-it-cant
While AI, or artificial intelligence, is already revolutionising all manner of industries, it is nevertheless nothing more than a system. We look at what AI is at its crux, consider its industrial implications, and ultimately cover its limitations.
https://makerv2.webteractive.co/blog/can-we-trust-ai-emotion-recognition-technology
With decision making in AI (or artificial intelligence) bigger than ever, engineers are now focused on emotion recognition technology (emotion AI), which has been developed to infer people’s feelings based on facial analysis.
https://makerv2.webteractive.co/blog/an-overview-of-neuromorphic-computing-and-its-latest-advances
Realising brain-like synapses using artificial intelligence has, for several decades, been a dream of scientists all over the world. Although we don’t have human-level AI yet, humans have made significant strides in the design of innovative technologies for neuromorphic computing. This article delves into some of the most promising innovations in this field.
https://makerv2.webteractive.co/forums/threads/why-cloud-consulting-firms-are-key-to-modern-business-intelligence-success.298481/
Thread 'Why Cloud Consulting Firms Are Key to Modern Business Intelligence Success'
https://makerv2.webteractive.co/blog/1.8b-quantum-plan-puts-france-on-the-map-for-ai
In 2018, French President Emmanuel Macron presented the country’s artificial intelligence (AI) roadmap: his vision and strategy to make France a leader in AI technology. Now, Macron has presented a new national strategy for quantum technologies, a five-year €1.8 billion plan that will finance research in quantum computing, communications, and sensing.
https://makerv2.webteractive.co/blog/addressing-the-major-ethical-issues-of-autonomous-vehicles
There’s a serious flaw in the way that programmers are currently addressing ethical concerns in relation to artificial intelligence (AI) and autonomous vehicles (AVs). Although they cannot account for everything, there are a few standout ethical issues that really ought to be looked at.
https://makerv2.webteractive.co/blog/aaeons-pico-itx-board-developed-for-ai-and-edge-computing
AAEON’s Pico-WHU4 Board is designed as a compact board with the purpose of serving the latest trends of embedded artificial intelligence and edge computing.
https://makerv2.webteractive.co/blog/the-differences-between-ai-machine-learning-and-natural-language-processing
As the reality of a fourth industrial revolution becomes more certain, you probably come across the terms “artificial intelligence” and “machine learning” more often than you would expect to, however, surprisingly enough, not many of us really understand the difference between them and their relation to one another. When you understand fully what these terms mean, it becomes easier to appreciate their practical implications.
