News recommendation systems personalize homepage content to boost engagement, but factors like content type, editorial stance, and geographic focus impact recommendations. Local newspapers balance coverage across regions, yet identifying local articles is challenging due to implicit location cues like slang or landmarks. Traditional methods, such as Named Entity Recognition (NER) and Knowledge Graphs, infer locations, but Large Language Models (LLMs) offer new possibilities while raising concerns about accuracy and explainability. This paper explores LLMs for local article classification in Taboola's "Homepage For You" system, comparing them to traditional techniques. Key findings: (1) Knowledge Graphs enhance NER models' ability to detect implicit locations, (2) LLMs outperform traditional methods, and (3) LLMs can effectively identify local content without requiring Knowledge Graph integration. Offline evaluations showed LLMs excel at implicit location classification, while online A/B tests showed a significant increased in local views. A scalable pipeline integrating LLM-based location classification boosted local article distribution by 27%, preserving newspapers' brand identity and enhancing homepage personalization.

Doctors believe artificial intelligence is now saving lives, after a major advancement in breast cancer screenings. AI is detecting early signs of the disease, in some cases years before doctors would find the cancer on a traditional scan. If you or someone you know is having thoughts of suicide, please contact the Suicide & Crisis Lifeline at 988 or 1-800-273-TALK (8255). A new documentary highlights the story of a 10-year-old girl who was admitted to a Florida children's hospital for severe pain and then promptly removed from the custody of her parents after staff accused them of "medical abuse." Netflix's "Take Care of Maya" follows the story of Maya Kowalski and her mother, Beata Kowalski, a registered nurse, as they navigate Maya's rare, chronic neurological condition called complex regional pain syndrome (CRPS) – a poorly understood affliction that causes severe pain throughout a person's body due to nervous system dysfunction, according to the Cleveland Clinic.

While traditional corpus-level evaluation metrics for machine translation (MT) correlate well with fluency, they struggle to reflect adequacy. Model-based MT metrics trained on segment-level human judgments have emerged as an attractive replacement due to strong correlation results. These models, however, require potentially expensive re-training for new domains and languages. Furthermore, their decisions are inherently non-transparent and appear to reflect unwelcome biases. We explore the simple type-based classifier metric, MacroF1, and study its applicability to MT evaluation. We find that MacroF1 is competitive on direct assessment, and outperforms others in indicating downstream cross-lingual information retrieval task performance. Further, we show that MacroF1 can be used to effectively compare supervised and unsupervised neural machine translation, and reveal significant qualitative differences in the methods' outputs.

Deployed for healthcare, environmental and even bartending duties around the world, robots have just been enlisted to sort through waste flowing through a Florida recycling plant, where they perform faster and safer than humanly possible. The 14 high-speed, precision robots installed this summer at Single Stream Recyclers (SSR) in Sarasota are guided by an artificial intelligence platform that applies computer vision and machine learning to direct the robots' rapid-fire movements. "The average human can pick 30-40 items per minute. The robots can pick 80 items per minute," said John Hansen, co-owner of SSR, which processes materials from numerous Southwest Florida communities at its nearly 100,000-square-foot recovery facility. Developed by Denver-based AMP Robotics, the robots identify and sort plastics, cartons, paper, cardboard, metals and other materials streaming through their cube-like housing.

During the 2017 project pilot phase, the Carton Council provided MRFs with grants to purchase and work with AMP to install carton-sorting robots. The first was at Alpine Waste & Recycling in Colorado, followed soon after by one at Dem-Con Companies in Minnesota. Past the pilot phase, the robots are now ready for prime time and there have been growing numbers of installations in the U.S. and Canada. This summer, another carton-sorting robot was installed at Single Stream Recyclers in Sarasota, Florida, along with several robots to sort other valuable materials and help to reduce contamination. With arms and grippers that can pick materials out of the recycling stream faster and with a higher rate of accuracy than their human counterparts, these robots utilize a vision centre with a camera that allows for monitoring materials as they pass through on a conveyer belt.

According to mark mccool sarasota, machine Intelligence is characterized as the capacity to gain and apply information. Where Artificial intelligence is characterized as the obtaining of learning or abilities through experience, study, or by being instructed. Envision we need to make fake ants who can creep around in two dimensional space. Nonetheless, there are risks in this world: if a subterranean insect experiences a noxious territory, it will kick the bucket. On the off chance that there are no toxic substance in subterranean insect's nearness, the subterranean insect will live.

Sarasota, Florida-based Revcontent, the fastest growing native ad network, has announced that it has acquired a machine learning company called Rover. Rover is known for developing advanced personalization and recommendation technology that will complement Revcontent's massive ad network. After the acquisition closes, Rover's offices in Sunnyvale, California will be turned into Revcontent's Silicon Valley headquarters. The terms of the acquisition were undisclosed, but the deal was reportedly valued at more than $30 million. Rover was founded by Jonathan Siddharth and Vijay Krishnan while the two of them were attending graduate school at Stanford University.

This press release is submitted and shown here in its original form, unedited by Furniture/Today. One of those newest technologies is the Recommendations API from Microsoft Cognitive Services. DutchCrafters has used this machine learning technology to offer customers product recommendations that meet the customers' preferences out of the thousands of products available on its website. DutchCrafters' effective use of Microsoft Cognitive Services, boosting its conversion rate by three-times for those using the recommendation results, caught Microsoft's eye as one of its success stories. DutchCrafters is the flagship ecommerce site of Sarasota-based niche retailer JMX Brands.

John Deere (Moline, Ill.), a manufacturer of agricultural and industrial equipment, has adopted a genetic algorithm-based solution to solve its factory scheduling problems. John Deere is using genetic algorithms to streamline scheduling at its factories, Sarasota County Detention Center knowledge in a system model and balancing an increasing number of (Sarasota, Fla.) has incorporated The center will use the The Royal Sonesta Hotel Boston Martin Marietta Magnesia Specialties new system to identify and confirm (Cambridge, Mass.) has deployed a (Woodville, Ohio), a producer of identities of inmates prior to being speech-driven automated attendant magnesia chemicals for industrial released from the facility. LucasArts Entertainment (San technology to automatically answer Primary objectives for the system Rafael, Calif.) has deployed a casebased and direct telephone calls, enabling are to increase production yet maintain reasoning self-service customer each caller direct access to a registered quality and decrease energy costs. This Report (Cuyahoga Falls, Ohio; Shanghai PuDong International Airport resource-allocation application evaluates www.lionhrtpub.com), The react to unforeseen events in real time.