#Apple ML Research
31 stories taggedApple ML Research.
Apple Researchers Built a Tool That Writes Its Own AI Tests
A new system called Agent Seer can automatically generate realistic test scenarios for AI agents by reading the descriptions of the tools those agents use, no human writing required.
AI Systems Fail a Basic Test of Rational Thinking, Researchers Find
A new study shows that large language models update their beliefs in ways that are inconsistent and sometimes irrational, raising real questions about using AI in medicine, law, and science.
Apple's New AI Tool Turns a Single Photo Into a Fully Lit 3D Object
A research system called Luce can convert one image into a 3D model complete with realistic materials, ready to be dropped into games, product pages, or films.
Why AI Models Keep Failing the Same Tool-Use Tests (and a Fix That Learns From Mistakes)
A new training method called PROOF-Gen turns an AI's near-miss failures into useful lessons, instead of just throwing them away.
AI Learns to Think in Pictures Internally, Cutting Video Analysis Time Without Losing Accuracy
A new training method called Internalized Visual Thinking lets AI models reason about video the way humans picture things in their heads, skipping the slow step of generating actual images mid-analysis.
Apple AI Research Finds a Cheap Way to Teach AI More Languages
A new technique from Apple ML Research helps AI understand low-resource languages without needing mountains of translated text, and it could matter for hundreds of millions of people whose languages get left behind.
Why AI Agents Struggle to Search: The Hidden Maths Problem Slowing Them Down
Researchers at Apple ML Research found that the way AI agents hunt through text can hit a hard mathematical wall. Here is what that means for the tools you use every day.
Your Chatbot Wants to Be Your Friend. Should It?
A new study tested 21,000 AI conversations and found chatbots regularly express emotions, build relationships and push back on users. Researchers say we need clearer rules about when that is helpful and when it is not.
A Faster Way to Solve One of AI's Hardest Maths Problems
Researchers from Apple ML Research have found a shortcut through a calculation that slows down high-dimensional AI comparisons, making a useful technique practical for the first time at scale.
Brain scanning just got smarter: what a new AI technique means for neuroscience
Researchers have built a method that finds hidden patterns in brain signals across multiple people at once, even when each person's brain data looks slightly different.
AI That Thinks in Your Language: Big Study Shows Non-English Reasoning Nearly Matches English
Researchers trained AI reasoning models in French, Arabic, Chinese and more, and the results were surprisingly close to English. Here is what that means for the billions of people who do not use AI in their first language.
AI Models May Not Need to Forget Everything: The Case for Smarter Unlearning
New research from Apple ML Research suggests some training data has so little effect on an AI model that removing it is a waste of time and money.
New AI Tool Tackles Tricky Questions: DEEPAMBIGQAGEN Unveiled
Apple ML Research introduces DEEPAMBIGQAGEN, a tool designed to boost AI's ability to handle complex questions.
Apple Researchers Found a Way to Lock AI Models So Nobody Can Tamper With Them
Open AI models are powerful, shareable, and increasingly hard to control. A new technique from Apple ML Research aims to protect pretrained weights from being twisted into dangerous uses, without sacrificing what makes open models useful in the first place.
Apple Researchers Find a Hidden Glitch That Can Quietly Corrupt AI-Generated Images
A small number of rogue data points, called outlier tokens, can throw off the systems that create AI images. New research explains what they are and how to fix them.