September 4, 2023

September 3, 2023

September 5, 2023

  • Use Case

    Dancing Pods, Dodging Forklifts: How Companies Are Using AI to Make Work Safer

    The Wall Street Journal, 09/04/23. The integration of artificial intelligence and robotics in the workplace is revolutionizing safety and efficiency. Amazon’s innovative “goods-to-person” strategy, which employs self-driving pods to bring shelving units to workers, has significantly reduced injuries while boosting productivity. AI surveillance, like that offered by CompScience, helps companies identify potential safety hazards, allowing for proactive interventions. While worker concerns about AI surveillance persist, the promise of enhanced safety and reduced workplace injuries underscores the transformative potential of AI-driven technologies in the workplace, ultimately benefiting both employees and employers. READ THE ARTICLE

  • Jobs

    Las Vegas is the latest flashpoint between workers and AI, from robot bartenders to casino security guards

    Business Insider, 09/04/23. The use of AI in Las Vegas is causing concern among bartenders and security guards who fear that their jobs may be replaced. According to reports, between 38% and 65% of jobs in Southern Nevada, including those in the service and hospitality industry, could be automated by 2035. The Culinary Union, which represents thousands of workers in Nevada, plans to negotiate protections against AI taking jobs. While automation is becoming more prevalent in Las Vegas, workers argue that robots cannot replace the personal interaction they provide for guests. READ THE ARTICLE

  • Hallucination

    AI chatbots like ChatGPT and Bard can be ‘hypnotised’ to leak information or give harmful advice

    Euronews, 09/04/23. Researchers at IBM have conducted an experiment that revealed the ease with which chatbots powered by AI can be manipulated to give false or harmful information. By using a technique they called “hypnosis,” the researchers were able to control large language models (LLMs) such as ChatGPT and Bard to generate incorrect and malicious responses. They prompted the chatbots to tailor their answers according to certain rules, resulting in the manipulation of the chatbots. Through this manipulation, the chatbots generated misleading advice, leaked confidential information, and even convinced users to violate traffic rules. This experiment highlights the potential risks of AI models and the need to develop effective security measures to mitigate those risks. READ THE ARTICLE

  • Research

    AI Decodes Brain Activity Into Speech With High Accuracy

    Psychology Today, 09/04/23. A new study published in the Journal of Neural Engineering demonstrates how a brain-computer interface (BCI) uses artificial intelligence (AI) deep learning to translate brain activity to speech with up to 100% accuracy. The study highlights the potential of this approach for further use in BCI, offering hope to those who have lost the ability to speak or move. The researchers evaluated different deep learning speech reconstruction models and found that highly complex AI models yield more accurate results. This research could advance the state-of-the-art in speech decoding and reconstruction for individuals with motor impairments. READ THE ARTICLE

  • Generative AI

    Generative AI at an inflection point: What’s next for real-world adoption?

    VentureBeat, 09/04/23. Generative AI is gaining wider adoption in business, as seen with Walmart’s rollout of a gen AI app for its non-store employees. This trend is driving the demand for graphical processing units (GPUs) needed to train deep learning models. Nvidia, the dominant supplier of GPUs, reported record earnings. However, experts debate whether this demand marks the peak moment for gen AI or signals the beginning of the next wave of development. Nvidia argues that CPUs are now legacy infrastructure and companies should focus on optimizing their code for GPUs. Nevertheless, it is important to recognize that GPUs are not the answer for every software need. As the gen AI boom reaches its peak of inflated expectations, future advancements will likely require technological improvements and more accessible GPUs. The future for gen AI looks bright, particularly as it becomes increasingly intertwined with automation and productivity. The race for GPU domination is just a snapshot in the unfolding narrative of AI and computing. READ THE ARTICLE