How an MIT research project became a global programming language
With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.
INTELLIGENCE & DISCOVERY
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机构原始发布Looking beyond natural sequences
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
AI helps design new materials that work in the real world
The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
Generating scenarios for extreme events, without extreme data
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeye
Differential acceleration of cyber, math, and AI
Paving the way for greener ammonia production
New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.
When AI art has no author: Study finds generated images often can’t be traced to training data
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
Q&A: Rethinking how innovation happens
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
Import AI 469: Science AI; RSI simulator; and Zuck's technological pessimism
The new frontier of AI is developing capable autonomous researchers
With a feel for physics, AI models simulate a wider range of real-world scenarios
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
Import AI 468: 23 RSI ideas; PostTrainBench+; and how trust and transparency interplay with AI racing
Which galaxy will you choose?
The benefits of medical AI assistance vary based on user expertise
Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.
Import AI 467: Self-sustaining AI viruses; pacing AI progress; confusion about AI and creativity
When do we build the moon arcology?
Import AI 466: The bitter lesson for robotics, AIs complete week-long programming tasks; and OpenAI's accidental AI hacker
The warning shots will continue until civilization wakes up
Import AI 465: Open vs closed gaps; Kimi K3; Demis' big policy plan
The singularity will be seen in hindsight as an interregnum
Import AI 464: Fable writes GPU kernels; AI automation; and analog computation
Is this the beginning of a new world?
Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era
What eras bookend our interregnum?
Import AI 462: Superpersuasion; self-sustaining AI; paths to ASI
How religious are beliefs in the singularity?
Import AI 461: "Alignment is not on track"; FrontierCode; and synthetic research interns
Where are your agents right now?
Import AI 460: Reward hacking society, RSI data from Anthropic; and RL-based quadcopter racing
When will markets price the singularity?