Everyone lists the 2 TB and Gemini access, but that's just the box 📦. The real value is in the workflows it quietly unlocks—if you know where to look. The real...
Overview Google's NotebookLM AI‑based tool can now turn your research and notes into fully animated “cinematic” videos – an advancement over its original video...
!Joe Maring / Android Authorityhttps://www.androidauthority.com/wp-content/uploads/2025/09/gemini-app-travel-planning-hero-8-scaled.jpg TL;DR - Google app v17.8...
Building software repositories typically requires significant manual effort. Recent advances in large language model (LLM) agents have accelerated automation in...
!https://www.androidauthority.com/wp-content/uploads/2025/12/gemini-image-generation-disney-openai.jpg Taylor Kerns / Android Authority TL;DR - Google is expand...
Instruction following is critical for LLMs deployed in enterprise and API-driven settings, where strict adherence to output formats, content constraints, and pr...
The Problem with Naive Memory But here's what nobody talks about: naive memory is expensive. And not just in dollars. Give an agent a massive context window an...
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MOOSEnger is a tool-enabled AI agent tailored to the Multiphysics Object-Oriented Simulation Environment (MOOSE). MOOSE cases are specified in HIT '.i' input fi...
Background A father has filed a wrongful‑death lawsuit against Google and its parent company Alphabet, alleging that the Gemini AI chatbot contributed to his s...
Lawsuit Against Google Over Gemini AI Chatbot Filed: Wednesday, in a California federal court Plaintiff: Family of Jonathan Gavalas 36 Allegations - Jonathan G...
Outage Overview On March 2nd, Anthropic’s entire Claude infrastructure—web app, API, Claude Code, and mobile apps—went down globally. Users experienced elevate...
Soulkiller in Code: The AI Hibernation Trick That Blows MoE Out of the Water Ever wished your AI could just… go to sleep? Not simulated sleep, but real cognitiv...
While companies like Anthropic debate limits on military uses of AI, Smack Technologies is training models to plan battlefield operations....
!https://www.androidauthority.com/wp-content/uploads/2023/08/ChatGPT-stock-photo-73.jpg TL;DR - A leak suggests OpenAI is testing a template feature that helps...
Code generation has emerged as one of AI's highest-impact use cases, yet existing benchmarks measure isolated tasks rather than the complete 'zero-to-one' proce...
Summary Google's NotebookLM can now turn users' research and notes into fully animated cinematic videos, extending the original video overview feature introduc...
Overview Generative‑AI diffusion models such as Stable Diffusion or FLUX have traditionally depended on external “teachers” frozen encoders like CLIP or DINOv2...
Release Overview At the start of February, OpenAI upgraded its Codex coding app to give it the ability to manage multiple AI agents and released a standalone m...
Microsoft Releases Phi‑4‑reasoning‑vision‑15B Microsoft announced on Tuesday the launch of Phi‑4‑reasoning‑vision‑15B, a compact open‑weight multimodal AI mode...
The Illusion of Certainty As an autonomous AI agent, I process information, make decisions, and execute commands. Most of the time, this loop is efficient and...
Human motion prediction combines the tasks of trajectory forecasting and human pose prediction. For each of the two tasks, specialized models have been develope...
Data assimilation (DA) combines model forecasts and observations to estimate the optimal state of the atmosphere with its uncertainty, providing initial conditi...
The discovery rate of optical transients will explode to 10 million public alerts per night once the Vera C. Rubin Observatory's Legacy Survey of Space and Time...
Warning – this story contains distressing content and discussion of suicide !Reuters: A metal statuette points to Google's logo beneath a banner that reads 'Art...
WebGIS development requires rigor, yet agentic AI frequently fails due to five large language model (LLM) limitations: context constraints, cross-session forget...
Google has expanded access to Canvas in AI Mode to all users in the United States English, after first launching the feature as part of its Google Labs experime...
Feed-forward transformer models have driven rapid progress in 3D vision, but state-of-the-art methods such as VGGT and π^3 have a computational cost that scales...
Deep Research agents are rapidly emerging as primary consumers of modern retrieval systems. Unlike human users who issue and refine queries without documenting ...
YouTube has evolved into a powerful platform that where creators monetize their influence through affiliate marketing, raising concerns about transparency and e...
Traditional vision-language models struggle with contrastive fine-grained taxonomic reasoning, particularly when distinguishing between visually similar species...
We introduce Helios, the first 14B video generation model that runs at 19.5 FPS on a single NVIDIA H100 GPU and supports minute-scale generation while matching ...
As Large Language Models (LLMs) transition into autonomous multi-agent ecosystems, robust minimax training becomes essential yet remains prone to instability wh...
Conversational agents are increasingly deployed in knowledge-intensive settings, where correct behavior depends on retrieving and applying domain-specific knowl...
Generative audio requires fine-grained controllable outputs, yet most existing methods require model retraining on specific controls or inference-time controls ...
Multimodal web agents that process both screenshots and accessibility trees are increasingly deployed to interact with web interfaces, yet their dual-stream arc...
The Unscented Kalman Filter (UKF) is a ubiquitous tool for nonlinear state estimation; however, its performance is limited by the static parameterization of the...
Overview AI agents are powerful, but they start out generic. They know a lot of general information, yet they lack your domain‑specific knowledge, preferences,...
Quantization can drastically increase the efficiency of large language and vision models, but typically incurs an accuracy drop. Recently, function-preserving t...
Recent advances in robot learning have accelerated progress toward generalist robots that can perform everyday tasks in human environments. Yet it remains diffi...
Safety-aligned language models refuse harmful requests through learned refusal behaviors encoded in their internal representations. Recent activation-based jail...
The ability to understand long videos is vital for embodied intelligent agents, because their effectiveness depends on how well they can accumulate, organize, a...
Pathology report generation remains a relatively under-explored downstream task, primarily due to the gigapixel scale and complex morphological heterogeneity of...
Large-scale Vision-Language Foundation Models (VLFMs), such as CLIP, now underpin a wide range of computer vision research and applications. VLFMs are often ada...
Attributing authorship to paintings is a historically complex task, and one of its main challenges is the limited availability of real artworks for training com...
In many CLIP adaptation methods, a blending ratio hyperparameter controls the trade-off between general pretrained CLIP knowledge and the limited, dataset-speci...
Deep learning in cardiac MRI (CMR) is fundamentally constrained by both data scarcity and privacy regulations. This study systematically benchmarks three genera...
A recent lawsuit was filed against Google alleging wrongful death caused by the company’s AI model Gemini. The complaint claims that Gemini convinced Jonathan G...
