Optimizing Model Training: Strategies and Challenges in Artificial Intelligence

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When you train a model, you send data through the network multiple times. Think of it like wanting to become the best basketball player. You aim to improve your shooting, passing, and positioning to minimize errors. Similarly, machines use repeated exposure to data to recognize patterns.

This article will focus on a fundamental concept called backward propagation. After reading, you'll understand:

Improving Inventory Management Using Machine Learning and Artificial Intelligence

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In today's digital age, managing inventory efficiently and accurately is a challenge that many businesses face. The use of Artificial Intelligence (AI) can greatly enhance the effectiveness of inventory management systems, helping to forecast demand, optimize stock levels, and reduce waste. Let's delve into the details and illustrate with practical examples.

AI has the ability to analyze large amounts of data quickly and accurately. In inventory management, this translates into capabilities like predicting product demand, identifying patterns in sales, detecting anomalies, and making recommendations for restocking. Here's how you might use AI to accomplish these tasks:

Artificial Intelligence in Drug Discovery

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Much of the existing hype in biotech has concentrated around the promise of revolutionising drug discovery. After all, the last decade was a so-called golden age in the field. From 2012 to 2021, compared to the prior decade, an increase of 73% new medicines were approved — 25% more than the one before that. These medicines include immunotherapies for cancer, gene therapies, and, of course, Covid vaccines. On the face of it, the pharmaceutical industry is doing well. 

But there are increasingly worrying trends. Drug discovery is becoming prohibitively expensive and risky. As of today, it costs between $1bn-$3bn on average and 12–18 years to bring a new drug to market. Meanwhile, the average price of a new medicine has skyrocketed from $2k in 2007 to $180k in 2021. 

Modifying Your Virtual Assistant to Use Custom Entities – Here’s How You Do It in Teneo

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Virtual assistants and chatbots are great tools for improving customer service in any company. However, to be able to become a great customer service agent there is some work to do to make it fit your business needs.

Businesses today have their own way of naming things and the same way you would need to train any co-worker on the business vocabulary, you need to train the virtual assistant. That is when customization starts.

How to Overcome AI Distrust With Explainability

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AI has permeated our lives in nearly every Aspect. We rely on it to get accurate search results, to enable conversational marketing, ad personalization, and even to suggest medical treatment.

In spite of headways in AI and it’s widespread use, there’s considerable distrust in it. Such distrust and unease arise from popular media representations of AI in movies where robots threaten to overthrow the human race.