27 May

Data Science Boom Escalates, Colleges To Increase Cut-Off Marks For Statistics Courses

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image-4774

The data science and AI boom has begun to exhibit effects on other parts of the talent pipeline. Universities have now begun increasing the cut-off marks for statistics across Pune, showing the rising need for statisticians in data science. Undergraduate courses in colleges now have over 90% as the cut-off rates for statistics. The course…

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27 May

UAE Steps Up AI Adoption, Commemorates First Batch Of AI Programme Graduates

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image-4772

The United Arab Emirates is the latest country to jump on the train of adapting to the AI wave. Recently, Sheikh Mohammed bin Rashid Al Maktoum, Prime Minister of the UAE honoured the first batch of students from the AI Programme. He also painted a positive picture for AI in the government. The programme was…

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27 May

5 Chinese AI Stocks That Are Soaring & Promise Good Returns

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image-4770

The global demand for artificial intelligence (AI) and machine learning (ML) solutions are growing at a steady pace and the key solutions providers are ramping up their capabilities to meet this burgeoning demand. It is estimated that by 2030, these technologies will add $15.7 trillion to global GDP. Being one of the leading players in…

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27 May

How Tredence Gets It Right When It Comes To Building ML Models

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image-4768

AI has become the pillar of growth for companies when it comes to maintaining relevance as well as ann edge over the competition. What’s more, AI based models have become the new revenue drivers for companies looking to capitalise on data as a competitive advantage. The rise in algorithmically driven successes can be attributed primarily…

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27 May

Artificial Intelligence in Action in India’s Growing Insurtech Space

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image-4762

The world is changing and insurance is changing with it. This change is being driven by customer expectation and technological advancement. To be competitive, insurance companies need more customer insights, and the ability to turn these insights into actions, which requires focused effort and expertise. Many insurance companies struggle in this area which is why…

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27 May

How StayAbode Is Using Analytics To Edge Out Competition In The Co-Living Space In India

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image-4766

In today’s world of millenials moving out of their home cities for career, co-living spaces become very convenient and are growing rapidly in India. According to a recent survey titled “Co-Living – rent a lifestyle” by Knight Frank India, the international property consultancy 72 percent of millennials have given co-living spaces a thumbs-up and over…

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26 May

5 AI startups In China That Are Making Waves Internationally

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image-4760

The Chinese AI startup ecosystem is known for its cutting-edge technology solutions, thus superseding other nations and technology giants to become one of the leading players in the field. As it continues to make substantial strides in the field all in an attempt to solidify its position as the top AI leader in the world,…

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26 May

Why Dharma Ransomware Is More Dangerous Than Ever

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image-4756

Lately, ransomware has become very popular among hackers. It not only causes severe downtime but also leads to a significant amount of data loss. Ransomware is basically is a malware that is used to encrypt user data and block access to it. The data can only be accessed a ransom is paid to the hacker or the…

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26 May

Why Dharma Ransomware Is More Dangerous Than Ever

image-4755
image-4755

Lately, ransomware has become very popular among hackers. It not only causes severe downtime but also leads to a significant amount of data loss. Ransomware is basically is a malware that is used to encrypt user data and block access to it. The data can only be accessed a ransom is paid to the hacker or the…

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25 May

What Does Freezing A Layer Mean And How Does It Help In Fine Tuning Neural Networks

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image-4753

Freezing a layer in the context of neural networks is about controlling the way the weights are updated. When a layer is frozen, it means that the weights cannot be modified further. This technique, as obvious as it may sound is to cut down on the computational time for training while losing not much on…

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