The next chapter in flood resilience: Open sourcing Google’s hydrology framework
Climate & Sustainability
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Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB laptop
Google DeepMind simply launched (*16*), a dense multimodal mannequin that strips out conventional encoders completely. Vision and audio circulate straight into the LLM spine. The result’s a mannequin that runs agentic workflows on a shopper laptop with 16 GB of RAM. It ships beneath the Apache 2.0 license. Model Overview & Access Gemma 4 12B…
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How E.ON uses SAP S/4HANA to modernise the grid with AI
Standardising grid information by way of SAP S/4HANA permits E.ON to modernise infrastructure and execute AI deployments. The utility big manages infrastructure throughout three distinct domains: power grids, buyer options, and power infrastructure options. Maintaining operations throughout this scope requires steady capital expenditure on IT {hardware} and software program upkeep. Leadership initially questioned the enterprise…
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Nous Research Releases Hermes Desktop: A Native Cross-Platform Front End for Hermes Agent v0.15.2 with Streaming Tool Output
Nous Research has launched Hermes Desktop in public preview. It is a local software for macOS, Windows, and Linux. It offers the open-source Hermes Agent a graphical interface. Until now, customers ran Hermes by a CLI and messaging gateways. The present construct is Hermes Agent v0.15.2. Per Nous Research’s documentation, the desktop reuses the identical…
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Walmart’s AI workflows meet the realities of the balance sheet
Walmart has reportedly begun limiting staff’ use of an inside AI assistant known as Code Puppy after calls for positioned on the LLM backing the software had been greater than anticipated. Employees of Walmart had been inspired to make use of Code Puppy with none stricture or stipulations as to the limits of use, however…
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Microsoft’s Majorana 2 quantum chip is also a case study for agentic AI in R&D
Microsoft’s Majorana 2 quantum chip arrived this week with numbers which can be genuinely tough to contextualise: qubits 1,000 instances extra dependable than the primary technology, a imply qubit lifetime of 20 seconds in opposition to an business norm measured in microseconds, and a revised roadmap focusing on a commercially scalable quantum pc by 2029. Behind these…
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NVIDIA Releases Cosmos 3: A Two-Tower Mixture-of-Transformers Foundation Model Unifying Physical Reasoning, World Generation, and Action Generation
NVIDIA AI workforce have launched Cosmos 3. It is a household of omnimodal world fashions for bodily AI. The fashions mix bodily reasoning, world era, and motion era. All three capabilities dwell inside one open mannequin. NVIDIA open sourced the checkpoints, coaching scripts, deployment instruments, and datasets. The Cosmos 3 launch targets robotics, autonomous automobiles,…
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Expert Medical Image Annotation for Ophthalmology and Cardiovascular AI
Fields like ophthalmology and cardiovascular care, the place imaging is central to analysis, have emerged as important frontiers for AI, making high-quality medical picture annotation providers indispensable. It’s about coaching medical AI programs with information that reveals how medical doctors really suppose and make selections. This means the info must be labeled by specialists, similar…
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How to Fine-Tune LFM2 Using QLoRA and DPO: A Complete Step-by-Step Coding Tutorial on Google Colab
In this tutorial, we fine-tune Liquid AI’s LFM2 mannequin via an entire open-source workflow. We begin by loading the bottom LFM2 checkpoint with QLoRA, getting ready a chat-style supervised fine-tuning dataset, coaching a light-weight LoRA adapter utilizing TRL and PEFT, and then merging the adapter again into the mannequin. We additionally lengthen the workflow with…
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Anthropic IPO filing marks AI maturing into enterprise utility
Anthropic’s IPO filing marks the maturation of generative AI from a research-heavy enterprise section into a stabilised enterprise utility. Model builders working in non-public markets have prioritised fast iteration and most compute efficiency over predictable billing cycles. Taking a foundational supplier public aligns these engineering targets with customary company procurement, introducing structured launch schedules and…
