Inteligência Artificial
- Designing an AI serving harness built to last
The next competitive advantage in enterprise AI has less to do with which model you choose than with what you build around it. That’s an important shift. For the past several years, much of the AI conversation has centered on model capability: bigger models, better reasoning, larger context […]
- This design software reimagines everyday objects as self-aware devices
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
- The Foundations of Scalable AI
A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. This session from MIT Technology Review’s EmTech Future conference explores what it takes to build that foundation in a highly regulated environment and […]
- Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer
Team NimbRo’s robot in action during the RoboCup@Home competition at RoboCup 2026. Raphael leads the team. Raphael Memmesheimer has been successfully competing in the RoboCup@Home league winning the RoboCup@Home competition five times. He and his colleagues won the best paper award at RoboCup […]
- Making the case for context-aware AI
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one. As […]
- AI’s hidden storage bill: What inference leaves behind
Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data that’s […]
- Before the ambulance arrives: How AI is helping the NHS rethink patient care
The post Before the ambulance arrives: How AI is helping the NHS rethink patient care appeared first on Source.
- AI is distorting archaeology and flattening Indigenous Knowledge
AI can popularise false histories and strip Indigenous Knowledge of its context. Picture: Supplied by authors. By Michelle Richards, Michael-Shawn Fletcher and Anthony Romano If you image search on Google for ‘cultural heritage Australia’, near the top of the results is a photograph of giant […]
- The new economics of enterprise AI
Imagine your company just discovered electricity. At first only a few machines run on it, and nobody worries about efficiency — consumption is low and the value is obvious. But once electricity becomes infrastructure, every process depends on it, and the question changes from “can we use it?” […]
- A concrete vision: Saint-Gobain and Microsoft Discovery build for the future
The post A concrete vision: Saint-Gobain and Microsoft Discovery build for the future appeared first on Source.
- AI adoption by industry shows what other sectors can learn
The current narrative around artificial intelligence in the workplace is largely driven by Silicon Valley. But treating the tech sector as an island misses the actual trends in technology adoption–tech is just the first industry in line. As generative AI and automation tools mature, the shifts […]
- ACM SIGAI Autonomous Agents Award 2027 open for nominations
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. The award is an […]
- A visit to Samsung’s massive new semiconductor hub
Generative AI models run on powerful chips known as GPUs, which depend on stacks of specialized memory chips packaged with the processor. To meet growing demand for memory, Samsung is building a massive new semiconductor manufacturing complex in Pyeongtaek, South Korea. Three fabs already operate […]
- Confidantes: Personal Voice Based AIs
Watch now (13 mins) | Presentation given at IEEE NFIC 2016
- Making the internet better for AI agents might make it worse for everyone else
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people. Websites have long allowed bots to perform automated tasks, like […]
- Why teaching AI about symmetry could make prenatal diagnosis more reliable
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
- “We were looking at it wrong”: The explosive claim that’s upended the AI world
“I think I have good news about the nature of neural networks.” With those simple words of optimism, Nick Cammarata, a researcher at the AI startup Goodfire, kicked off a 26,000-word blog post that has knocked the AI world on its head, sparking wild speculation as well as cautious (and […]
- AI researchers stranded Claude on a virtual desert island. It started to “play.”
What do AI agents do if you don’t tell them to do anything? The answer looks a lot like play. Researchers repeatedly stranded them alone on a virtual desert island for 30 hours in an experiment reminiscent of the movies Cast Away or Home Alone. The agents—copies of Claude Opus 4.7 nicknamed […]
- AI is helping ease competition for scarce space on the airwaves
By Aylin Yener, The Ohio State University Every time you make a phone call, stream a video or connect to Wi-Fi, your device is sending and receiving invisible signals through the air. So are your baby monitor, garage door opener, your GPS, the weather-monitoring satellites and the radars keeping […]
- Giving AI a “crystal clear” view of the materials world
New research can help AI models understand crystalline materials in 3D and reason about their properties.
- Fostering community amid Kendall Square’s innovation
The 18th annual Kendall Square Association Annual Meeting explored how new technologies could be a force for shared prosperity in society.
- How AI is helping cities tackle invisible pollution
By Anthony King In cities, air pollution can vary sharply from one street to the next. Fumes may linger between tall buildings, collect at busy junctions or drift towards a school gate. However, cities often lack the detailed forecasts needed to act before levels become dangerous. For Professor […]
- State of Supply Chain Sustainability Report finds corporate commitment at record high, but governance lags behind
MIT's Center for Transportation and Logistics finds sustainability commitments are strong, but governance gaps and external disruptions prevent execution.
- AI model decodes the language cells use to communicate
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
- Missed a lecture? This AI agent at Bar-Ilan University helps students catch up
The post Missed a lecture? This AI agent at Bar-Ilan University helps students catch up appeared first on Source.
- #AIES2026 social media round-up
This week saw researchers gather in Malmö at the ninth AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES). We cast an eye over social media platforms to find out what participants got up to at the event. The 9th annual AAAI/ACM Conference on Artificial Intelligence, […]
- Q&A: The “collision” between AI, your brain, and society
In a new book, Professor Eric So explores how the technology affects our thinking skills.
- Researchers improve weather forecasts looking two to six weeks out
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
- Credit fairness: lending resources without losing out
Hanna Barakat & Archival Images of AI + AIxDESIGN / Woven Circuit / Licenced by CC-BY 4.0 Consider several research groups at a university that buy machines and put them into a shared cluster. Computing demands vary over time, and one group’s quiet week may be another group’s deadline […]
- How artificial neural networks build their own learning machinery
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
- MIT Lincoln Laboratory hosts National Security Commission on Emerging Biotechnology
Roadshow event highlights Massachusetts' defense-biotechnology ecosystem.
- Q&A: Building accountability behind our words — and AI’s — in civic conversations
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
- Introducing Microsoft’s latest custom chip: Maia 300
The post Introducing Microsoft’s latest custom chip: Maia 300 appeared first on Source.
- What’s on the programme at #AIES2026?
The ninth AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) is taking place in Malmö, Sweden from 12-14 October 2026. The programme features keynote talks, a panel, discussion sessions, paper presentations, and posters. Keynote speakers There are four keynote talks: […]
- Generative AI has changed mathematics forever. Where to from here?
By Melissa Lee, Monash University In August, artificial intelligence company OpenAI announced ten advances in mathematics and computer science made with their as-yet unreleased model Astra. The discoveries cover a wide range of mathematical fields, including geometry, cryptography and coding […]
- Cybersecurity, evolutionary game theory, and AI safety: an interview with Adeela Bashir
In a new series of interviews, we’re meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026). This time, we meet […]
- 3 Questions: What is the best path forward for AI in academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
- 2026 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium. This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of […]
- Using AI to mitigate the growing environmental threat of data centers
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
- Discovering the value of humanistic inquiry
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
- Machine learning for clinical time-series forecasting: an interview with Mayra Elwes
In a series of interviews, we’re meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the International Joint Conference on Artificial Intelligence and the 29th European Conference on Artificial Intelligence (IJACI-ECAI 2026). This time, we hear from […]
- Supercomputing researchers document evolution of AI hardware
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
- Chris Bourg named vice provost and Barbara K. Ostrom (1978) Director of the MIT Libraries
As director, Bourg has focused on digital access, open and equitable scholarly publishing, and expanded support for data-intensive research.
- MIT announces the MIT for America initiative, to strengthen STEM education across the country
The effort aims to help U.S. learners from kindergarten to community college, with an emphasis on math, making, and the constructive use of AI.
- Can you teach yourself to detect AI writing? Maybe
Yasmine Boudiaf & LOTI / Data Processing / Licenced by CC-BY 4.0. By Celeste Rodriguez Louro, The University of Western Australia AI is quietly reshaping writing. It’s not just that prose is changing — the very structure of written language is genuinely changing too. It’s not just a new […]
- Interview with William Yijiang Li: vision language models and the physical world
At the International Conference on Machine Learning (ICML 2026), Dezhi Luo, Yijiang Li, Maijunxian Wang, Tianwei Zhao, Bingyang Wang, Siheng Wang, Pinyuan Feng, Pooyan Rahmanzadehgervi, Ziqiao Ma, and Hokin Deng presented their work Vision Language Models Cannot Reason About Physical […]
- Computational tools for society’s most complex challenges
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
- Documenting the tech worker movement
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
- Forthcoming machine learning and AI seminars: October 2026 edition
This post contains a list of the AI-related seminars that are scheduled to take place in the next couple of months. All events detailed here are free and open for anyone to attend virtually. 5 October 2026 Socialism after AI Speakers: Evgeny Morozov Organised by: London School of Economics and […]
- 3 Questions: A new resource to empower young entrepreneurs
Martin Trust Center Managing Director Bill Aulet introduces Dear Dreamer, a free platform for middle and high school students who want to learn about entrepreneurship.









































