How (and why) federated learning enhances cybersecurity
Federated learning’s popularity is rapidly increasing because it addresses common development-related security concerns.Read More
Federated learning’s popularity is rapidly increasing because it addresses common development-related security concerns.Read More
Tech behemoth OpenAI has touted its artificial intelligence-powered transcription tool Whisper as having near “human level robustness and accuracy.”
Recent methods have demonstrated that Large Language Models (LLMs) can solve reasoning tasks better when they are encouraged to solve subtasks of the main task first. In this paper we devise a similar strategy that breaks down reasoning tasks into a problem decomposition phase and a problem solving phase and show that the strategy is …
Read more “Divide-or-Conquer? Which Part Should You Distill Your LLM?”
This post is co-written with Lee Rehwinkel from Planview. Businesses today face numerous challenges in managing intricate projects and programs, deriving valuable insights from massive data volumes, and making timely decisions. These hurdles frequently lead to productivity bottlenecks for program managers and executives, hindering their ability to drive organizational success efficiently. Planview, a leading provider …
The potential of AI has never been greater, and infrastructure plays a foundational role in driving it forward. AI Hypercomputer is our supercomputing architecture based on performance-optimized hardware, open software, and flexible consumption models. Together, these offer exceptional performance and efficiency, resiliency at scale, and give you the flexibility to choose offerings at each layer …
Plus: Apple offers $1 million to hack its AI cloud infrastructure, Iranian hackers successfully peddle stolen Trump campaign docs, Russia hacks the nation of Georgia, and a “cyberattack” that wasn’t.
Over the past decade or so, computer scientists have developed increasingly advanced computational techniques that can tackle real-world tasks with human-comparable accuracy. While many of these artificial intelligence (AI) models have achieved remarkable results, they often do not precisely replicate the computations performed by the human brain.
At Apple, we believe privacy is a fundamental human right. Our work to protect user privacy is informed by a set of privacy principles, and one of those principles is to prioritize using on-device processing. By performing computations locally on a user’s device, we help minimize the amount of data that is shared with Apple …
Read more “Combining Machine Learning and Homomorphic Encryption in the Apple Ecosystem”
Large language models (LLMs) are very large deep-learning models that are pre-trained on vast amounts of data. LLMs are incredibly flexible. One model can perform completely different tasks such as answering questions, summarizing documents, translating languages, and completing sentences. LLMs have the potential to revolutionize content creation and the way people use search engines and …
Read more “Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark”
Generative AI (gen AI) promises to usher in an era of transformation for quality, accessibility, efficiency, and compliance in the financial services industry. As with any new technology, it also introduces new complexities and risks. Striking a balance between harnessing its potential and mitigating its risks will be crucial for the adoption of gen AI …
Read more “Adapting model risk management for financial institutions in the generative AI era”