IBM's Granite 4.
IBM's Granite 4.2 large language models are optimized for agentic workflows, emphasizing data curation, instruction tuning, and code proficiency, making them efficient for local deployment and product…
IBM's Granite 4.2 large language models are optimized for agentic workflows, emphasizing data curation, instruction tuning, and code proficiency, making them efficient for local deployment and product…
IBM released Granite 4.2 on August 25, 2026, a family of open-weight reasoning models in 3B, 8B, and 30B sizes that enterprises can run on their own hardware under an Apache 2.0 license, with no API m…
Function calling, the Model Context Protocol (MCP), and the Agent-to-Agent (A2A) protocol together decouple AI agents from vendor-specific interfaces, enabling enterprise voice agents to act on backen…
Amplify Investments' Amplify AI Powered Equity ETF (NYSEARCA:AIEQ), the first fully AI-driven ETF, has gained 100.2% since its Oct. 17, 2017 inception, while the S&P 500 gained roughly 199.7% over the…
Aaron Horwath's Noema article 'Why Is Everyone In Tech So Sad?' argues that Workism has replaced religion as a source of purpose, but its collapse is causing widespread disenchantment among knowledge …
Enterprises are increasingly rejecting the traditional approach of moving proprietary data to frontier AI models, opting instead for AI systems that operate within their own data environments, accordi…
IBM released its Granite 4.2 family of open-weight large language models on August 25, featuring three variants (3B, 8B, and 30B) with native 128K context windows and switchable chain-of-thought reaso…
IBM has launched Granite 4.2, a new family of open-weight large language models available in 3B, 8B, and 30B parameter variants, designed for local deployment. The models feature a 128,000-token conte…
IBM released its Granite 4.2 language models in 3B, 8B, and 30B sizes, trained on about 15 trillion tokens with a context window of up to 512,000 tokens, and available under the Apache 2.0 license. Th…
A new interactive feature from MIT Technology Review presents seven puzzles—including mental rotation, Knights and Knaves, and visual challenges—that have stumped AI models, inviting readers to test t…
IBM released Granite 4.2, a family of open reasoning language models in 3B, 8B, and 30B parameter sizes, available under Apache 2.0. The models are decoder-only dense transformers pre-trained on rough…
Microsoft is Brazil's top employer for 2026, according to TIME and Statista's annual ranking, which surveyed 900,000 employees across Brazil. The top four employers are all U.S. tech companies, includ…
IBM researchers released Granite Speech 5.0 Turbo CTC, two 470-million-parameter English speech-recognition models that remove the language-model decoder to achieve over 20 times the throughput of ear…
IBM plans to release a dual-architecture mainframe processor that can run Arm-native Linux environments simultaneously with z/OS and Linux on IBM Z, marking the first chip of its kind. The 11-core, 5.…
A single hyperscale AI data centre draws roughly 100 to 750 MW of power, uses millions of litres of cooling water daily, and can span thousands of acres, with UN researchers estimating global data cen…
IBM's Granite Team released Granite 4.2, a family of dense, decoder-only reasoning LLMs in 3B, 8B, and 30B sizes, pre-trained from scratch on roughly 15 trillion tokens with a five-phase strategy exte…
IBM released two compact 470M-parameter English speech recognition models, granite-speech-5.0-470m-turboctc and granite-speech-5.0-470m-turboctc-nc, achieving over 12,600 RTFx on an NVIDIA H200 GPU an…
IBM released Granite 4.2, a new family of open-source language models in 3B, 8B, and 30B parameter sizes, purpose-built for enterprise agentic workflows with native reasoning, tool calling, and coding…
Tempo, a collaborative workspace platform provider, launched Workforce Intelligence (WFI), an Atlassian Marketplace app that connects AI tool activity to Jira work items to help enterprises measure an…
Only 25% of AI initiatives have delivered expected ROI and just 16% have scaled enterprise-wide, according to an IBM CEO survey, while Protiviti research finds CIOs and CTOs are more than twice as con…