Quantum computers are now available through cloud platforms, and recent work has proposed using them to detect network intrusions. It is not yet clear how easily such systems can be attacked. We train a hybrid variational quantum classifier (VQC) on the Friday DDoS subset of CICIDS2017 and test it against two attacks:...
Zeeshan Ajmal, Kimmo Halunen, Marc Mau{\ss}ner et al.· 0 citations
Most deep learning systems for diabetic retinopathy (DR) grading are evaluated on a single data source, with limited evidence of cross-site generalisation, uncertainty calibration, and interpretability. We propose CalibCause, a quality-gated mixture-of-experts framework that combines per-expert visual explanations, lab...
Sohaib Sulman, Muhammad Atif Saeed, Akhtar Jamil et al.· 0 citations
Community detection in attributed networks is one of the core tasks of complex network analysis. The stochastic block model (SBM) and its variants are able to detect generalized network structures such as assortative, disassortative and mixed structures. However, existing generative methods either ignore node heterogen...
Zhenhai Chang, Shuo Wang, Yumeng Liu et al.· 0 citations
As climate change reshapes grape-growing conditions, predicting grapevine phenotypes from genomic variation is increasingly important for identifying and breeding cultivars suited to emerging environmental pressures. Existing research on the grapevine genotype-phenotype relationship using machine learning has often foc...
Chiara D'Ercoli, May Levin, Pietro Li\`o· 0 citations
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Chronic diseases evolve through long, heterogeneous trajectories shaped by interacting mediators, confounders, and treatment histories. Estimating long-term patient trajectories under alternative interventions is essential for in silico clinical trial design. However, most existing models overlook irregular visit inter...
Saeed Farzi, Sofia Michopoulou, Christopher Kipps et al.· 0 citations
A HER2 reader for routine H&E slides, owned end to end, as a baseline for pathologists, and serves as a research-use pre-read in a pathology platform, where it proposes a probability and a call beside IHC and helps prioritise ISH for equivocal cases.
In this article, we propose two kinds of neural networks inspired by power method and inverse power method to solve linear eigenvalue problems. These neural networks share similar ideas with traditional methods, in which the differential operator is realized by automatic differentiation. The eigenfunction of the eigenv...
Qihong Yang, Yangtao Deng, Yu Yang et al.· 0 citations
A simple mechanism that uses a random number of dummy points to privatize the batch size and maintain the privacy guarantee even under truncation is addressed, and it is demonstrated empirically that this mechanism achieves better privacy--efficiency tradeoffs than the direct accounting for truncation recently given by...
V. Feldman, Audra McMillan, Kunal Talwar· 0 citations
Instance-dependent limits for bandit regret, sequential tests, best-arm identification and Markov decision processes are proved by one chain. It runs from a divergence decomposition through data processing to a statistic, a testing step that turns a class guarantee into a requirement on the history, and optimization ov...
Objective: To distinguish the transferable predictive value of physiological trajectories from that of observation patterns in ICU mortality prediction, and to assess whether measurement timing affects performance independently of observation quantity.
Materials and Methods: In-hospital mortality was predicted at 48...
This work tracks the gradient-flow trajectory, showing that student neurons first collapse toward a bisector saddle before escaping and specializing to teacher neurons, and provides both a landscape and dynamics account of the multi-phase symmetry-breaking behavior that arises in a simple multi-index model and under st...
Bing-Hua Li, Meng-Zhe Li, Denny Wu et al.· 1 citation
In the random allocation sampling scheme each user's data is used in $k$ steps chosen randomly and uniformly from a sequence of $t$ steps. This scheme is known to improve on Poisson sampling in private optimization and in communication-efficient aggregation. The existing privacy loss distribution (PLD) accountant for t...
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Learn how Google Antigravity and our Cheminformatics Skills accelerate drug discovery workflows, search compounds, and propose novel rigidified macrocycles.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
