Top Updates: Highlights from the Data News Sphere
Weekly Data News Recap (June 8-14, 2024)
Kick off your week with the latest data news in technology, science, and more! Here's a roundup of exciting innovation and advances from the past week:
*Apple AI Upgrade*
Get ready for smarter devices! Apple is set to integrate AI into the next generation of iPhones, iPads, and MacBooks. New built-in features include a chatbot powered by OpenAI's GPT-40 model, answering questions, and "Genmoji," allowing users to create custom emojis from text prompts.
**Streamlined Airport Security
Fear the summer travel rush no more! The State of New York has unveiled a new mobile app, M-ID, for digital ID verification at LaGuardia and JFK airports, streamlining security screenings and reducing airport lines.
*Smart Water Infrastructure*
Atlanta's aging water infrastructure gets a boost. The city deploys AI-enhanced devices to detect breaks in water mains, aiming to reduce emergency situations and maintain clean water delivery efficiently.
**LinkedIn's AI Job Search
Premium LinkedIn users now have an extra hand in job searches, thanks to AI chatbots capable of answering job-specific questions and evaluating job fit. A new tool also helps users create personalized resumes and cover letters.
**Emotional Support at Work
Bereave, an Indiana startup, offers grieving employees a helping hand with practical and emotional support during times of loss. Provided as a workplace benefit, the platform offers resources like closing accounts, settling estates, and accessing grief counseling.
**Anti-Theft Measures from Google
The fight against phone theft is heating up. Google is testing AI-powered anti-theft features in phones, detecting movements associated with theft and locking the screen to deter potential thieves.
**Language Learning Revolution
A Ph.D. student at MIT has developed DenseAV, a system that learns languages from scratch by processing audiovisual data, potentially opening the door for machines to comprehend any language without initial text input.
**Quantum Hardware Revolution
University of Bristol researchers are making quantum communications more efficient by integrating the world's smallest quantum light detector onto a silicon chip. This innovation will improve high-speed quantum communications and pave the way for more efficient optical quantum computers.
**New Therapeutics for Diabetic Complications
Scientists, using the Tianhe-2 supercomputer, have identified a chemical able to increase blood clotting rates significantly. By studying the properties of this chemical, researchers may create novel therapeutics to treat diabetes-related complications.
**Predicting Surgical Recovery
Washington University's machine learning algorithm predicts recovery outcomes after lumbar spine surgery based on various factors like physical function and pain. The new predictive analytics tool outperforms traditional methods, promising to help doctors personalize treatments for easier post-surgical recovery.
Unfortunately, details about the specific algorithm used for post-surgical recovery predictions at Washington University are scarce. However, the university's Department of Electrical & Systems Engineering hosts seminars on machine learning and related topics, suggesting ongoing research in the field.[2]
Image Credit: Souvik Banarjee*
[2] Washington University in St. Louis, Department of Electrical & Systems Engineering:https://seaswww.wustl.edu/departments/ese/
Enrichment Data:There is a lack of information regarding the specific machine learning algorithm used for post-surgical recovery predictions at Washington University. Further research is necessary to access specific details regarding the algorithm used in the machine learning model for this purpose. Consulting relevant research papers or directly contacting the university may provide additional insights. The university's Department of Electrical & Systems Engineering offers seminars and ongoing research on machine learning and related topics.
- In the realm of health-and-wellness, the machine learning algorithm developed by Washington University predicts surgical recovery outcomes based on various factors, surpassing traditional methods and potentially revolutionizing personalized treatments.
- Anticipating medical-conditions, the predictive analytics tool focuses on factors such as physical function and pain to provide more accurate recovery prognoses, thus benefiting both patients and surgeons.
- Research in the field of technology, specifically machine learning, is ongoing at Washington University, as evidenced by the Department of Electrical & Systems Engineering hosting seminars on the subject.
- To gain insights into the specific machine learning algorithm used for post-surgical recovery predictions, further research, potentially including examination of relevant research papers or direct communication with the university, may be necessary.
- Fitness-and-exercise enthusiasts can now rely on AI to guide their job searches, as LinkedIn's AI chatbots answer job-specific questions and evaluate job fit, giving users an edge in the competitive job market.
- Bridging the gap between languages, the DenseAV system, developed by a Ph.D. student at MIT, is designed to learn languages from scratch using audiovisual data, a promising leap forward in artificial intelligence's language comprehension capabilities.
