The news cycle moves fast, but AI news sprints ahead. Don’t get left in the dust - catch last week’s highlights from fake fame to smart care.
- Meta tests facial recognition for spotting ‘celeb-bait’ ads scams and easier account recovery
- Meta is expanding its use of facial recognition to combat scams involving celebrity images, known as “celeb-bait” ads, on Facebook and Instagram. By using facial recognition technology, Meta aims to detect and block fraudulent ads featuring public figures’ images, ensuring users aren’t misled into sharing personal data or money. The technology, tested with a small group of celebrities, cross-references flagged ads with public figure profiles to verify authenticity. In addition, Meta is trialing facial recognition for faster account recovery, allowing locked-out users to verify their identities through encrypted video selfies, similar to Face ID. This tech is currently being tested outside the U.K. and EU due to stricter data regulations, as Meta continues discussions with European lawmakers.
- AI to help doctors spot broken bones on X-rays
- The National Institute for Health and Care Excellence (NICE) in England suggests that artificial intelligence (AI) could help doctors detect broken bones more accurately on X-rays, aiming to reduce the rate of missed fractures, which currently occurs in up to 10% of cases. With radiology staff shortages and high demand, NICE highlights that AI can assist clinicians by spotting fractures that may be overlooked due to heavy workloads, ultimately expediting diagnosis and potentially reducing follow-up appointments. Four AI tools are proposed for urgent care, where each X-ray image will still be reviewed by a healthcare professional to ensure accuracy. This consultation, open until November 5, reflects NICE's confidence in AI’s safe application to enhance diagnostics without increasing misdiagnoses or unnecessary referrals.
- Harnessing The Power Of Smart Shelves And Predictive Engineering Analytics
- Smart shelves and predictive engineering analytics (PEA) are transforming retail by helping companies manage inventory with precision and respond quickly to customer needs. These technologies use computer vision (CV) and machine learning (ML) to identify and track products in real time, even when they are of similar sizes. CV systems employ high-resolution cameras and algorithms to distinguish products visually, while ML-based predictive analytics uses sales and weight data to anticipate which items were moved or purchased. These insights streamline inventory management, reduce errors, and create a more personalized shopping experience. However, retailers face challenges like system integration, potential disruptions to customer experience, and overreliance on automation, which can be mitigated through pilot programs, technology provider support, and staff training. By effectively implementing smart shelves, retailers can enhance operational efficiency and adapt to changing customer preferences.
- Meta signs its first big AI deal for news
- Meta has signed a multi-year deal with Reuters to integrate news-related content into its AI chatbot, allowing it to cite Reuters reporting when answering queries. This partnership marks a significant move for Meta, as it aims to enhance the utility of its AI for users seeking current events information, alongside its existing creative features. Reuters will be compensated for its content, which will be accessible to users in the U.S. via Facebook, Instagram, WhatsApp, and Messenger starting Friday. This shift comes despite Meta's previous reluctance to engage with hard news and its ongoing legal battles regarding compensating news publishers. The agreement reflects a broader trend in the media industry, where several organizations are negotiating licensing deals with AI companies to monetize their content.
- Researchers move a step closer to developing at-home test to detect dementia
- Researchers from the University of Tasmania have created a computer screening test, known as the TAS Test, that detects changes in hand movements potentially indicating an increased risk of dementia years before memory symptoms appear. Developed at the Wicking Dementia Research and Education Centre, the test requires participants to record a 30-second finger-tapping exercise at home. In a recent study involving about 400 participants from the ISLAND Project, researchers analyzed the movement data, including rhythm and speed, and compared it to cognitive test scores. This study represents the largest of its kind, measuring finger tapping in relation to cognitive function, as noted by Associate Professor Jane Alty.
- OpenAI plans to release its next big AI model by December
- OpenAI plans to launch its next significant AI model, codenamed Orion, by December 2024, marking the two-year anniversary of ChatGPT. Unlike previous releases, Orion will initially be available only to select partner companies for product development rather than a broad rollout. Microsoft is preparing to host Orion on Azure as early as November, but it remains uncertain whether it will be branded as GPT-5. The model is expected to be up to 100 times more powerful than GPT-4, contributing to OpenAI's long-term goal of developing artificial general intelligence (AGI). This launch coincides with a historic $6.6 billion funding round for OpenAI, which has necessitated a restructuring to a for-profit entity amid significant staff turnover, including the departure of several key executives.
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Plainsight Technologies is the enterprise vision data company that makes cameras count. Through our pre-built Vision Intelligence Filters, containerized applications that solve business problems with accurate data from visual sources, we empower organizations to scale from concept to industry adoption while prioritizing privacy, security, and rapid innovation. Our mission is to "make your cameras count," extracting valuable insights from visual data to optimize processes in agriculture, marine biology, manufacturing, food service, and more. Headquartered in Kirkland, Washington, Plainsight Technologies operates as a distributed team, delivering cutting-edge solutions worldwide. To learn more, visit plainsight.ai
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