RECURRENT NEURAL
In 2017, Google researchers published “Attention Is All You Need”; they were solving translation, but accidentally laid the foundation for today’s AI age
Google Translate once struggled with long sentences because its software processed language one word at a time. This sequential reading approach created severe computational bottlenecks, slowing down translation and causing models to lose context by the time they reached the end of a paragraph. Computer scientists solved this limitation by abandoning step-by-step reading entirely. Their Transformer architecture analyzed full blocks of text simultaneously using self-attention.
Quote of the day by Friedrich Nietzsche: "The snake which cannot cast its skin has to die. As well the minds which are..." - what can the visionary philosopher's snake metaphor teach us today? Inspiring life lessons on change, resilience, and personal growth
Quote of the Day by Friedrich Nietzsche: What if the greatest danger to our intellect lies not in ignorance but in the refusal to evolve? Friedrich Nietzsche, the provocative philosopher, once remarked, "The snake which cannot cast its skin has to die. As well the minds which are prevented from changing their opinions; they cease to be mind." This quote encapsulates a profound truth about human growth and adaptability, urging us to reflect on how vital change is in our lives.
What is a Transformer in artificial intelligence, and why is it the base of most modern AI models?
Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017, the Transformer architecture changed machine learning forever. It helps AI models understand context, analyze massive datasets, and predict words using probability. Large systems like ChatGPT rely on this design. Training uses trillions of text tokens and human feedback. That is why Transformer-based large language models dominate generative AI, search, and automation today.
Machine learning tech can help predict inflation better: RBI economists
Economists at the Reserve Bank of India (RBI) argue that traditional models like the Phillips Curve, used for inflation prediction, may not effectively capture the inflation-cause relationship. In their paper, 'Inflation Forecasting in India: Are ML techniques useful,' they advocate for advanced machine learning (ML) methods, stating that ML outperformed traditional models in both pre-pandemic and post-pandemic periods, particularly in handling inflation volatility during the pandemic.
How deep tech can fuel the evolution of the manufacturing industry
Within the manufacturing domain, deep tech ecosystems are essential for keeping the engines running, bolstering shop floor operations and seamlessly integrating back-end and front-end functions, positioning companies for unrivaled success.
How deep learning works and how it's used to create personalised recommendations
Deep learning is a subset of AI used to train artificial neural networks for complex data processing. Personalized recommendations are being enhanced by the efficiency of deep learning models, using data collection and preprocessing, building and training deep learning models, generating recommendations, and evaluating and refining the system.
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Animal intelligence developed from 5 mutations in brain evolution
Each change was a major transitional point in the history of life that changed what types of intelligence could evolve.
This Noida-based startup is powering efficiency of employees, companies with AI
CogniTensor is among the new-age tech companies that optimises enterprise data with quantifiable business solutions to increase overall efficiency of the company.
Imbalance in brain chemicals may be the culprit behind OCD: Study
Some people with OCD are engaged in rituals for much of their waking life and cannot even leave their homes. As the condition is difficult to treat, life with OCD can be extremely difficult.
The importance of sensing, analysing, and responding at speed for future supply chain planning
The supply chain planning processes and tools must transform to include the ability to sense, analyse, and respond quickly.
Researchers at IIT-M use AI tools to study production of fuel from biomass
"Gaining such understanding through hands-on experiments will be time-consuming and expensive and as such, computer simulations and modelling studies can provide quicker insights into developing biomass conversion processes," IIT-M said.
Self-driving cars get smarter: They can recognise and predict pedestrian movements
The technology uses humans' gait, body symmetry and foot placement.
New system can help machines think like humans
The network, called a reservoir computing system, could predict words before they are said during the conversation, and help predict future outcomes based on the present.
Robots that can see into their future developed
Using this technology, called visual foresight, the robots can predict what their cameras will see if they perform a particular sequence of movements.
‘Biometrics remain unique because they reflect who we are’: Deepmala Gupta, Accenture
Well-designed biometric systems do not store raw images of the captured modality.
Google's voice search is getting way, way better
Google released its first neural network-powered voice recognition system in 2011 and it's been slowly improving ever since.
8 Indian-American high school students among Intel Science Talent Search competition finalists
Eight Indian-American high school students have been named as finalists in the prestigious Intel Science Talent Search competition in the US.
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