IBM
IBM Research Enhances AI Fairness and Accountability
IBM Research is developing technologies to increase the transparency, fairness, and accountability of high-risk AI systems.
IBM Quantum Advances with Scalable Error-Corrected Systems
IBM Quantum is progressing towards practical quantum advantage with scalable, error-corrected systems, focusing on mitigating noisy qubits.
IBM's AI-Powered Text-to-SQL Generator Tops BIRD Benchmark
IBM's generative AI solution secures first place on the BIRD benchmark, improving complex database query handling.
IBM Research Unveils Cost-Effective AI Inferencing with Speculative Decoding
IBM Research has developed a speculative decoding technique combined with paged attention to significantly enhance the cost performance of large language model (LLM) inferencing.
Pioneering DRAM Chip Inventor Bob Dennard Passes Away at 91
Bob Dennard, inventor of DRAM, passes away at 91, leaving a legacy that reshaped modern computing.
IBM and Red Hat Introduce InstructLab for Collaborative LLM Customization
IBM and Red Hat launch InstructLab, enabling collaborative LLM customization without full retraining.
IBM Showcases Generative AI's Potential to Revolutionize Automation at Think 2024
IBM unveils generative AI advancements aimed at transforming business automation at Think 2024.
IBM Introduces Efficient LLM Benchmarking Method, Cutting Compute Costs by 99%
IBM's new benchmarking method drastically reduces costs and time for evaluating LLMs.
AI-Driven "Audio-Jacking": IBM Uncovers New Cybersecurity Threat
IBM Security researchers have identified a new cybersecurity threat called "audio-jacking," where AI can manipulate live conversations with deepfake voices, raising concerns about financial fraud and misinformation.
IBM and SAP Partner to Enhance Consumer Industries with AI-Driven Solutions
IBM and SAP collaborate to revolutionize consumer industries using WatsonX AI, aiming to optimize supply chains, enhance retail operations, and achieve greener deliveries.
Unveiling the Pioneers: Top 10 Generative AI Companies to Keep an Eye On
2023 saw a surge in generative AI, with companies like OpenAI, DeepMind, NVIDIA, IBM, and Microsoft leading the way. These firms are revolutionizing industries with advancements in natural language processing, AI ethics, and diverse applications, from healthcare to autonomous driving.
IBM Unveils NorthPole: An Energy-Efficient AI Chip Prototype
IBM has introduced a new prototype AI chip named NorthPole, exhibiting remarkable speed and energy efficiency, as reported in Science Magazine on October 19, 2023. The chip, showcasing a 25-fold higher energy efficiency and a 22-fold lower time latency on benchmark tests, addresses the longstanding von Neumann bottleneck by melding memory with computation on-chip. This innovation opens up avenues for applications like autonomous surgery and self-driving vehicles, with continued research on this architecture already underway at IBM.
Crypto Innovations and IBM's Role in the Evolving Payments Landscape
The digital transformation of finance, driven by cryptocurrencies and Central Bank Digital Currencies, is reshaping the industry. Traditional banks face challenges in maintaining market share, while regulatory bodies are enhancing oversight. IBM, a tech giant, offers solutions for this new era, ensuring compliance with financial regulations and fostering seamless customer experiences.
Biden-Harris Administration Secures AI Commitments from Major Tech Companies
The Biden-Harris Administration has secured voluntary commitments from eight more artificial intelligence (AI) companies to manage AI risks. The commitments emphasize safety, security, and trust, requiring AI products to undergo security testing, share information on risk management, prioritize cybersecurity, and develop mechanisms to inform users. The administration is developing an Executive Order on AI and pursuing bipartisan legislation to position America as a responsible AI developer.
IBM Launches "Granite": AI Foundation Models for Business
IBM has introduced "Granite" foundation models for its watsonx.ai platform, utilizing generative AI for linguistic and coding applications. These models, specifically Granite.13b.instruct and Granite.13b.chat, have 13 billion parameters and are trained on diverse datasets. IBM emphasizes trust, transparency, and customization, and plans to introduce more models in different languages.