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OpenScholar, an innovative AI system by Allen Institute for AI and University of Washington, revolutionizes scientific research by processing 45 million papers instantly, offering researchers citation-backed answers and challenging proprietary AI systems.Read More
Chip production delays and a rumored overheating issue haven’t slowed down Nvidia, which reported another quarter of blockbuster earnings and said Blackwells are now in the hands of Microsoft and OpenAI.
In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and …
Recently, LinkedIn announced its Hiring Assistant, an artificial intelligence “agent” that performs the most repetitious parts of recruiters’ jobs—including interacting with job candidates before and after interviews. LinkedIn’s bot is the highest-profile example in a growing group of tools—such as Tombo.ai and Moonhub.ai—that deploy large language models to interact with job seekers.
The fast-rising pace of attacks is driving a graph database arms race across leading cybersecurity providers.Read More
Pokémon Trading Card Game Pocket reinvents the gacha game for a Pikachu-loving audience. It’s attracted millions of players—and more than a little controversy.
The more lottery tickets you buy, the higher your chances of winning, but spending more than you win is obviously not a wise strategy. Something similar happens in AI powered by deep learning: we know that the larger a neural network is (i.e., the more parameters it has), the better it can learn the task …
AnyChat unifies ChatGPT, Google Gemini, Claude, and more under one platform, offering developers and enterprises unprecedented flexibility to switch between leading AI models seamlessly.Read More
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Large language models (LLMs) are increasingly automating tasks like translation, text classification and customer service. But tapping into an LLM’s power typically requires users to send their requests to a centralized server—a process that’s expensive, energy-intensive and often slow.