Category: AI News
-

Arm provides edge AI platform to startups via flexible access
[ad_1] Arm has announced that it’s providing its most powerful edge AI platform, Armv9, to startups via its Flexible Access programme. The “Flexible Access” model is essentially a ‘try before you buy’ for chip designers. It gives companies upfront, low-cost, or no-cost (for qualifying startups) access to a wide range of Arm technology, tools, and…
-

The teacher is the new engineer: Inside the rise of AI enablement and PromptOps
[ad_1] As more companies quickly begin using gen AI, it’s important to avoid a big mistake that could impact its effectiveness: Proper onboarding. Companies spend time and money training new human workers to succeed, but when they use large language model (LLM) helpers, many treat them like simple tools that need no explanation. This isn't…
-

South Korea scraps AI textbook programme
[ad_1] The South Korean government spent 1.2 trillion won ($850m) on developing AI textbooks for schools, but the national programme has been rolled back after just four months, amid allegations of inaccurate texts, concerns about privacy, and increased workloads on staff and pupils. Writing in Rest Of World, journalist Junhyup Kwon quotes a student as…
-

Developers can now add live Google Maps data to Gemini-powered AI app outputs
[ad_1] Google is adding a new feature for third-party developers building atop its Gemini AI models that rivals like OpenAI's ChatGPT, Anthropic's Claude, and the growing array of Chinese open source options are unlikely to get anytime soon: grounding with Google Maps. This addition allows developers to connect Google's Gemini AI models' reasoning capabilities with…
-

Google AI tool pinpoints genetic drivers of cancer
[ad_1] Google has announced DeepSomatic, an AI tool that can identify cancer-related mutations in tumour genetic sequences more accurately. Cancer starts when the controls governing cell division malfunction. Finding the specific genetic mutations driving a tumour’s growth is essential for creating effective treatment plans. Doctors now regularly sequence tumour cell genomes from biopsies to inform…
-

Researchers find adding this one simple sentence to prompts makes AI models way more creative
[ad_1] One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation among some critics as being "fancy autocorrect," generative AI models actually generate their outputs by choosing from a distribution of the most probable next…
-

Trillion-parameter AI model: Ant Group’s Ling-1T launch
[ad_1] Ant Group has entered the trillion-parameter AI model arena with Ling-1T, a newly open-sourced language model that the Chinese fintech giant positions as a breakthrough in balancing computational efficiency with advanced reasoning capabilities. The October 9 announcement marks a significant milestone for the Alipay operator, which has been rapidly building out its artificial intelligence infrastructure across…
-

Anthropic is giving away its powerful Claude Haiku 4.5 AI for free to take on OpenAI
[ad_1] Anthropic released Claude Haiku 4.5 on Wednesday, a smaller and significantly cheaper artificial intelligence model that matches the coding capabilities of systems that were considered cutting-edge just months ago, marking the latest salvo in an intensifying competition to dominate enterprise AI. The model costs $1 per million input tokens and $5 per million output…
-

NVIDIA GPUs to power Oracle’s next-gen enterprise AI services
[ad_1] Oracle and NVIDIA have expanded their partnership to make enterprise AI services more available, powerful, and practical. The announcements, made during Oracle AI World, cover everything from monstrously powerful new hardware to deeply integrated software that aims to put AI at the very core of a company’s data. Ian Buck, VP of Hyperscale and…
-

Self-improving language models are becoming reality with MIT's updated SEAL technique
[ad_1] Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underpinning ChatGPT and most modern AI chatbots — to improve themselves by generating synthetic data to fine-tune upon. The technique, known as SEAL (Self-Adapting LLMs), was…