Google’s AI chatbot Bard: what went wrong with the ChatGPT rival?
Some claim that incorrect answer to question shows that chatbots and AI-powered search are overhyped
Los presentadores de noticias son ficticios, la desinformación es de verdad
Los personajes generados por IA suelen usarse para las capacitaciones empresariales. Ahora, por primera vez, se ha detectado su uso en una campaña de información afín a un Estado; es un nuevo capítulo de la manipulación en internet.
Google chatbot blunders as AI battle with Microsoft heats up
Google on Wednesday announced a slew of features powered by Artificial Intelligence (AI), but a mistake in an ad caused its share price to tank.
China's Alibaba joins global chatbot race
Chinese e-commerce giant Alibaba said Thursday it was working on a rival to ChatGPT, joining a flurry of global tech firms rushing to match the popular AI-powered chatbot.
Google AI chatbot error sends shares plummeting in battle with Microsoft
Chatbot Bard incorrectly said James Webb Space Telescope was the first to take pictures of a planet outside the Earth’s solar system
Bard, Bing and Baidu: how big tech's AI race will transform search – and all of computing
Will it give Microsoft a chance to overtake Google in the search space?
New AI technology could change game prep for Super Bowl teams
New artificial intelligence technology being developed by engineers could significantly cut down on the time and cost that goes into film study for Super Bowl-bound teams (and all NFL and college football teams), while also enhancing game strategy by harnessing the power of big data.
Compact, non-mechanical 3D lidar system could make autonomous driving safer
A new system represents the first time that the capabilities of conventional beam-scanning lidar systems have been combined with those of a newer 3D approach known as flash lidar. The nonmechanical 3D lidar system is compact enough to fit in the palm of the hand and solves issues of detecting and tracking poorly reflective objects.
Researchers review deep learning-based methods to detect time series data anomaly
Monitoring financial security, industrial safety, medical conditions, climate, and pollution require analysis of large volumes of time series data. A crucial step in this analysis involves identification of unusual points, patterns, or events that deviate from a dataset.
Algorithms that adjust for worker race, gender still show biases
Even after algorithms are adjusted for overt hiring discrimination, they may show a subtler kind: preferring workers who mirror dominant groups, according to a new study from researchers at The University of Texas at Austin.
AI search engines can now chat with us, but glitches abound
Nearly a quarter-century after Google's search engine began to reshape how we use the internet, big tech companies are racing to revamp a familiar web tool into a gateway to a new form of artificial intelligence.
Google strikes back in AI battle with Microsoft
Google on Wednesday announced a slew of features powered by Artificial Intelligence (AI) as it ramped up a battle with Microsoft to maintain its dominance of the web search industry.
Bing (Yes, Bing) Just Made Search Interesting Again
Google has stiff competition now, after Microsoft integrated powerful A.I. technology into its search engine.
Debate: ChatGPT reminds us why good questions matter
Over 100 million people used ChatGPT in January alone, according to one estimate, making it the fastest-growing consumer application in history. By producing resumes, essays, jokes and even poetry in response to prompts, the software brings into focus not just language models' arresting power, but the importance of framing our questions correctly.
Disinformation Researchers Raise Alarms About A.I. Chatbots
Researchers used ChatGPT to produce clean, convincing text that repeated conspiracy theories and misleading narratives.
Google unveils AI enhancements to Search and Maps
Google used an event in Paris to unveil some of the latest AI advancements to its Search and Maps products.
Neural network trained using a diverse dataset outperforms conventionally trained algorithms
Artificially intelligent neural networks, trained by images and videos available on the internet, can recognize faces, objects, and more. But there's a serious drawback. Teaching machine learning algorithms how to identify people or items by relying solely on the visual library of faces and objects found online underrepresents socioeconomic and demographic groups.
Intelligent system for indoor illumination adjustment based on deep learning
A new deep learning–based intelligent regulation system for indoor lighting intensity is described in the International Journal of Industrial and Systems Engineering. The novel system improves the accuracy and efficiency of conventional lighting-regulation systems by exploiting artificial intelligence, or deep learning, trained with on sensor output and historical data.