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Chemoinformatics Market is Estimated to Flourish by 2024. Posted 21_10_10

What is it? Chemoinformatics is defined as the application of computers to develop and process chemical data and is being widely utilized in drug discovery & designing, information handling, screening.

Why Important: The major driving factors which have driven the growth of the market includes the advancements in the drug development process and use of in-silico techniques. Chemoinformatics allows use of combinatorial chemistry to produce vast number of compounds, molecular modelling to improve drug activity; high throughput screening allowing screening of large number of compounds against a target protein, virtual in-vitro and in-silico models which replaces traditional animal testing models.

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How AI And Automation Can Address America's Broken Supply Chain. Posted 21_10_10

What is it? Technologies such as AI, which can extract actionable insights from machines, cameras and other sensors deployed on the production floor, help keep production output up and running and deliver the products to the next step of the supply chain, all the way to the final consumer.

Why Important: AI can help mitigate human error on the production floor to reduce the millions of tons of waste making its way to the dumpsters every year, by making sense of the streams of complex sensor data monitering machine's inner workings and alerting the operator if a derailment from a normal production regimen occurs. This prevents the machine from damaging products or causing a costly line shutdown, in turn causing production and shipping delays.In logistics, a key component of supply chains, AI can be used to automatically locate expiration dates for packages or product routing, preventing extra manual labor and delays in shipping.

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Why Cybersecurity is a Data Problem. Posted 21_10_10

What is it? Due to the accelerated rate of digitization that companies large workforces are going through due to the pandemic has increased connections that must be secured, with a greater need for authentication.

Why important. Behavioral data – such as the actions and interactions of users on your network – can be used to establish levels of "normal" activity, which can then be used to highlight outliers that could be a sign that something odd is going on. If a user is accessing systems or data from an IP that seems to originate in a part of the world where they are not usually operating, it can raise red flags. But as more of us are working remotely and perhaps from different locations than usual, it isn’t always that simple to identify.

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Top 10 Machine Learning Tools of 2021. Posted 21_10_03

What is it? All you need to know about top machine learning monitoring tools

Why Important: Machine learning models and monitoring tools help in animation, unsupervised learning, avoid prediction errors, self-iteration based on data, and dataset visualization, while you sleep.

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AI’s Flaws Getting Harder to Ignore. Posted 21_10_03

What is it: Designed to loosely emulate the human brain, deep-learning AI systems can spot tumors, drive cars and write text, showing spectacular results in a lab setting but therein lies the catch. When it comes to using technology in the unpredictable real world, AI sometimes falls short.

Why Important: AI is not yet ready for prime time. Furthermore, it is hard to know when it will be. Companies should consider cultivating high-quality data — lots of it — and hiring people to do the work that AI is not ready to do.    

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Amazon’s NEW Computer Vision Identifies Defects Posted 21_10_03

What is it: Lookout for Vision to detect anomalies and defects in manufactured products. Leveraging computer vision and AI.

Why important. The solution can compute a massive volume of images per hour without upfront commitment or minimum fee. Ensures superior quality control in industrial pipelines to customers of all sizes and across all industries by quickly and cost-effectively detecting anomalies at scale to save time and money while maintaining the best quality.

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