import subprocess, sys, os, json, hashlib
def pip(cmd):
subprocess.check_call([sys.executable, "-m", "pip"] + cmd)
pip(["uninstall", "-y", "pillow", "PIL", "torchaudio", "colpali-engine"])
pip(["install", "-q", "--upgrade", "pip"])
pip(["install", "-q", "pillow<12", "torchaudio==2.8.0"])
pip(["install", "-q", "colpali-engine", "pypdfium2", "matplotlib", "tqdm", "requests"])
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What’s next Since releasing Gemini 3 Pro in November, your feedback and the pace of progress have driven these rapid improvements. We are releasing 3.1 Pro in preview today to validate these updates and continue to make further advancements in areas such as ambitious agentic workflows before we make it generally available soon. Starting today,…
How do you build a single model that can learn physical skills from chaotic real world robot data without relying on simulation? Generalist AI has unveiled GEN-θ, a family of embodied foundation models trained directly on high fidelity raw physical interaction data instead of internet video or simulation. The system is built to establish scaling…
Headlines On February 13, the Wall Street Journal reported something that hadn't been public before: the Pentagon used Anthropic's Claude AI during the January raid that captured Venezuelan Leader Nicolás Maduro. It said Claude's deployment came through Anthropic's partnership with Palantir Technologies, whose platforms are widely used by the Defense Department. Reuters attempted to independently…
Artificial intelligence (AI) is exploding. There were 5,509 AI startups in the US between 2013 and 2023. And according to Statista, they’re receiving a massive amount of funding.
“ In 2024, AI startups received more than $0.5 trillion and raised over $100 billion. “
In 2024, AI startups received more than $0.5…
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# Introduction
Vertex AI Search, formerly known as Enterprise Search on Google Cloud, represents a significant evolution in how organizations can implement intelligent search capabilities within their applications. This powerful tool combines traditional search functionality with advanced machine learning capabilities to deliver semantic understanding and natural language processing (NLP). For…
Waymo is introducing the Waymo World Model, a frontier generative model that drives its next generation of autonomous driving simulation. The system is built on top of Genie 3, Google DeepMind’s general-purpose world model, and adapts it to produce photorealistic, controllable, multi-sensor driving scenes at scale.
Waymo already reports nearly 200 million fully autonomous miles…
Today, we’re releasing a major upgrade to Gemini 3 Deep Think, our specialized reasoning mode, built to push the frontier of intelligence and solve modern challenges across science, research, and engineering. We updated Gemini 3 Deep Think in close partnership with scientists and researchers to tackle tough research challenges — where problems often lack clear…
Google DeepMind has released SIMA 2 to test how far generalist embodied agents can go inside complex 3D game worlds. SIMA’s (Scalable Instructable Multiworld Agent) new version upgrades the original instruction follower into a Gemini driven system that reasons about goals, explains its plans, and improves from self play in many different environments.
From…