From MIT to IBM, expediting AI and quantum deployment

Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders

The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry

The article titled "The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry" discusses insights from the TPC26 conference, where leaders from academia, national laboratories, and industry examined how AI, autonomous agents, self-driving labs, high‑performance computing, and quantum computing converge to accelerate materials science discovery. It presents firsthand experiences from researchers at the forefront of these technologies and argues that their simultaneous maturation marks a tipping point for transformative advances and productive disruption in chemical sciences.

Media Advisory: MIT to establish regional quantum hub

With $25 million investment from the Commonwealth of Massachusetts, MIT to build a new shared-use facility to serve as a statewide quantum toolbox.

MIT welcomes David Siegel SM ’86, PhD ’91 as its next Innovation Fellow

MIT welcomes David Siegel SM ’86, PhD ’91 as its next Innovation Fellow. The computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.

Lowering the implementation barrier of neutral-atom quantum computing with agentic workflows

arXiv:2607. 25834v1 Announce Type: cross Abstract: Quantum computers are moving from research laboratories to industrial machines accessible via the cloud and integrated into high-performance computing facilities.

Physics AI research that’s shaping the industry.

Published breakthroughs pushing the state of the art.

MIT’s Initiative for New Manufacturing builds momentum

In its first year, INM has worked across research, workforce development, and industry engagement to help accelerate new manufacturing technologies and their real-world deployment.

How AI-native companies turn workflows into operating capability

The article discusses how AI-native companies such as Basis, Clay, and Exa Labs employ AI agents to enhance various business processes, including onboarding, account management, and developer integrations. It highlights the practical applications of these AI-driven workflows for enterprise leaders, illustrating how they can be adopted in similar contexts.

Agent-Orchestration in Autonomous Chip Design

arXiv:2608. 14035v1 Announce Type: new Abstract: Recent developments in large language models (LLMs) and tool-using agents encourage people to explore the potential of using agents in chip design.

The crucial human component in computing and AI

The MIT Ethics of Computing Research Symposium brought together experts and researchers working at the heart of ethical and social impact in technology.

Import AI 469: Science AI; RSI simulator; and Zuck's technological pessimism

The new frontier of AI is developing capable autonomous researchers

Evaluating Verified Autonomy in Quantum Engineering

The paper introduces Quantum‑Harbor, a virtual laboratory that lets AI agents interact with quantum systems in a controlled setting, enabling verification of their actions and conclusions. Using this platform, the authors created QIQCBench, a benchmark of 49 expert‑authored tasks covering calibration, control, error correction, compilation, sensing, and networking. Testing 17 state‑of‑the‑art agentic systems on QIQCBench revealed wide variation in verified performance, highlighting a gap between demonstrated capability and reliable operation and positioning Quantum‑Harbor as a foundation for measuring progress toward verified autonomy in quantum engineering.