Artificial Intelligence (AI)
The Shift from Models to Compound AI Systems
AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. This naturally led to an intense focus on models as the primary ingredient in AI application development, with everyone wondering what capabilities new LLMs will bring. As more…
What are Large Language Model (LLMs)?
Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early AI systems often struggled to handle tasks like translating languages, generating meaningful text, or answering questions accurately. These systems relied on rigid rules or basic statistical methods that couldn’t capture the nuances of context, grammar, or cultural meaning. As a…
How to Thrive in the Age of AI • AI Blog
In today’s rapidly evolving digital landscape, artificial intelligence (AI) is transforming the workplace at an unprecedented pace. While AI’s potential to automate tasks and enhance productivity is undeniable, it also raises concerns about job security, particularly for white-collar professionals. However, rather than viewing AI as a threat, professionals can take proactive steps to stay relevant…
Matthew Kissner, President & CEO of Wiley – Interview Series
Matthew Kissner is Wiley’s 15th President and CEO, a role he’s held since July 2024. He has been with Wiley in a leadership, board, or consulting role for over 20 years, including as Group Executive and Board Chair. He also served previously as Interim CEO in 2017 and 2023-2024. His extensive experience includes leadership positions with…
Our latest advances in robot dexterity
Research Published 12 September 2024 Authors Robotics team Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement People perform many tasks on a daily basis, like tying shoelaces or tightening a screw. But for robots, learning these highly-dexterous tasks is incredibly difficult to get right….
Teaching AI to communicate sounds like humans do
Whether you’re describing the sound of your faulty car engine or meowing like your neighbor’s cat, imitating sounds with your voice can be a helpful way to relay a concept when words don’t do the trick. Vocal imitation is the sonic equivalent of doodling a quick picture to communicate something you saw — except that…
2024 BAIR Graduate Directory
Every year, the Berkeley Artificial Intelligence Research (BAIR) Lab graduates some of the most talented and innovative minds in artificial intelligence and machine learning. Our Ph.D. graduates have each expanded the frontiers of AI research and are now ready to embark on new adventures in academia, industry, and beyond. These fantastic individuals bring with them…
This AI Paper from Tel Aviv University Introduces GASLITE: A Gradient-Based Method to Expose Vulnerabilities in Dense Embedding-Based Text Retrieval Systems
Dense embedding-based text retrieval has become the cornerstone for ranking text passages in response to queries. The systems use deep learning models for embedding text into vector spaces that enable semantic similarity measurements. This method has been adopted widely in applications such as search engines and retrieval-augmented generation (RAG), where retrieving accurate and contextually relevant…
React Native 0.76 Unleashed: Bridgeless Architecture Redefines App Speed!
React Native has officially launched version 0.76, a release that takes the framework to the next level by enabling the new architecture as the default setting. In earlier versions, this architecture was optional and required developers to opt in. But now, all new React Native projects will come with this transformative architecture, commonly referred to…
Two hours of AI conversation can create a near-perfect digital twin of anyone | DailyAI
Stanford and Google DeepMind researchers have created AI that can replicate human personalities with uncanny accuracy after just a two-hour conversation. By interviewing 1,052 people from diverse backgrounds, they built what they call “simulation agents” – digital copies that could predict their human counterparts’ beliefs, attitudes, and behaviors with remarkable consistency. To create the digital…