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🗞️ The Latest in AI: KODY 29 is bringing artificial intelligence into the kitchen

The KODY 29 AI Cooking Robot has been introduced by Kitchen Idea. KODY 29 features 21 different cooking modes, 1,500 unique recipes and automatic cleaning functions. The robot is designed to offer unrivaled convenience to those that want a healthy diet but don’t have time to cook.

Cooking with the robot chef is a straightforward and user-friendly process. With KODY 29’s recipe presets, simply add the ingredients, select the recipe on its screen, and KODY automatically begins cooking.

KODY 29 calculates the nutritional value and calorie content of each dish, and can accommodate a wide variety of dietary habits and flavor preferences. It includes two automatic cleaning functions: regular cleaning, which maintains the interior of the main pot, and deep cleaning that removes food residues and stains on the bottom of the pot.

In addition to the robot’s default recipes, users can create their own unique recipes and share them with other users’ social communities. Currently in its crowdfunding phase, KODY 29 will revolutionize the cooking experience when it hits the market.

Click here to read more.

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📸 Industry Spotlight: AI is creating new opportunities in cancer treatment

Researchers are already exploring how to use artificial intelligence to personalize targeted treatment plans for cancer patients. By sifting through data from thousands of patients, AI programs are able to make highly informed decisions about individual patients’ diagnoses and treatment options.

By providing an AI model with specific patient data, such as blood tests, X-ray images and genetic information, the model is able to accurately present doctors with a diagnosis, treatment options and a prognosis targeted to individual patients.

Researchers at the University of Texas at San Antonio recently made a breakthrough with their generative AI approach to treat tumors. They used generative AI to visualie tumor regions affected by radiotherapy, and could accurately measure how much a tumor decreased week by week. This improved the reliability of tumor evaluation, and allowed the group to plan the following weeks’ radiation doses with higher precision.

The team hopes that their approach will help clinicians better target tumors while preserving the surrounding critical organs and healthy tissue.

Click here to learn more about this UTSA study.