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Latest Breaking Headlines in Data News

Weekly Data News Roundup from February 12, 2022 to February 18, 2022 include stories about pioneering carbon capture technology research with a supercomputer and introducing a robotic chef to grill burgers.

Data News Highlights: A Compilation of latest updates
Data News Highlights: A Compilation of latest updates

Latest Breaking Headlines in Data News

Artificial Intelligence Advances in Various Fields

In recent developments, AI technology is making significant strides in diverse areas, from healthcare to carbon capture research and robotics.

Revolutionizing Healthcare

Researchers at the Mayo Clinic Cancer Center have developed an AI system that can predict treatment responses for patients with gastric cancer. This breakthrough could potentially improve the efficacy of chemotherapy and immunotherapy treatments, as the system has identified 32 genes that can affect a patient's response to these treatments.

Similarly, researchers at the University of Florida have created an AI system that can predict treatment outcomes for patients with hepatitis C more accurately than current models. These advancements are set to revolutionize personalized medicine, ensuring that patients receive the most effective treatment possible.

Accelerating Carbon Capture Research

AI has been extensively used to advance carbon capture technology research. The Mayo Clinic team trained an AI system with genetic data from over 5,000 patients to identify genes that can affect a patient's response to chemotherapy and immunotherapy.

Key ways AI has contributed include systematic literature analysis, accelerating material discovery, sorbent and chemical screening, and supporting energy and carbon management. AI-powered models have analyzed vast bodies of scientific research on carbon dioxide removal, revealing a larger and more diverse landscape of CDR approaches. This has enabled evidence-based environmental innovation and governance.

AI models such as Allegro-FM have also been used to simulate billions of atoms with quantum mechanical accuracy, enabling the design of advanced materials that can capture and reincorporate carbon dioxide emitted during production. This could lead to carbon-neutral or carbon-negative construction materials.

Furthermore, AI techniques have accelerated the screening of millions of chemical compounds to identify optimal sorbents for carbon capture, significantly speeding up the discovery and optimization of materials like amines that absorb CO₂, thereby advancing carbon capture efficiency.

Innovations in Robotics

In the realm of robotics, researchers at Liverpool Hope University have built a sensor that can trigger robotic movement away from heat. This sensor mimics human withdrawal reflexes by responding to temperatures greater than 50 degrees Celsius.

Meanwhile, White Castle and Miso Robotics have partnered to install robotic chef Flippy 2 in 100 White Castle locations. Flippy 2, equipped with an AI system, can recognize food items and manipulate a robotic arm into cooking the food.

Embracing the Future

Officials in South Korea have established a trial zone for sidewalk delivery robots in Suwon, a suburb of Seoul. Residents can now use these robots to order food and other items from afar, marking a significant step towards a more automated future.

As these advancements continue to unfold, it's clear that AI technology is set to play a crucial role in shaping the future of various industries, from healthcare to carbon capture research and robotics.

  1. The Mayo Clinic team, who have trained an AI system with genetic data, are not only contributing to carbon capture technology research but also identifying genes that can affect a patient's response to chemotherapy and immunotherapy.
  2. AI-powered models, like Allegro-FM, can simulate billions of atoms with quantum mechanical accuracy, potentially leading to the design of advanced materials that can capture and reincorporate carbon dioxide emitted during production, which could result in carbon-neutral or carbon-negative construction materials.
  3. In the healthcare sector, researchers at the Mayo Clinic Cancer Center have developed an AI system that can predict treatment responses for patients with gastric cancer, possibly improving the efficacy of chemotherapy and immunotherapy treatments.
  4. The use of AI technology is accelerating material discovery and sorbent and chemical screening in carbon capture research, significantly speeding up the discovery and optimization of materials like amines that absorb CO₂, thereby advancing carbon capture efficiency.
  5. South Korean officials have established a trial zone for sidewalk delivery robots in Suwon, a suburb of Seoul, embracing the future and marking a significant step towards a more automated industry, much like the advancements in AI-powered healthcare and carbon capture research.

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