New approach finds privacy vulnerability and performance are intertwined in AI neural networks
Reports and Proceedings
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 13-May-2026 06:16 ET (13-May-2026 10:16 GMT/UTC)
Researchers have discovered that some of the elements of AI neural networks that contribute to data-privacy vulnerabilities are also key to the performance of those models. The researchers used this new information to develop a technique that better balances performance and privacy protection in these models.
Self-driving laboratories (SDLs) powered by artificial intelligence (AI) are rapidly accelerating materials discovery, but can they also explain their results? Researchers from the Theory Department of the Fritz Haber Insitute, in collaboration with BASF, and BasCat – UniCat BASF JointLab, show that they can. Their new AI-driven strategy works hand-in-hand with SDLs to identify better catalysts while revealing the chemistry behind their performance. The approach was validated on the industrially crucial conversion of propane into propylene.
As cities worldwide accelerate toward electrification and decarbonization, the convergence of distributed energy resources and electric mobility is reshaping the architecture of modern power systems. Distributed Generation (DG), encompassing technologies such as solar photovoltaics, wind turbines, and fuel cells, has emerged as a critical enabler for reducing transmission losses and enhancing energy resilience. At the same time, the rapid adoption of electric vehicles (EVs) is introducing unprecedented demand patterns, placing new stress on existing distribution networks. The challenge lies not merely in deploying these technologies, but in orchestrating their integration in a way that ensures grid stability, efficiency, and sustainability.
CAMBRIDGE, Mass., Mar 24, 2026 - Insilico Medicine (3696.HK), a clinical-stage drug discovery and development company driven by generative artificial intelligence (AI), today announced a strategic research collaboration with ASKA Pharmaceutical Co., Ltd. (“ASKA”), a specialized pharmaceutical company with a strong focus on internal medicine, obstetrics, and gynecology. This partnership aims to identify novel therapeutic targets with high drug development potential for challenging gynecological conditions, including endometriosis, uterine fibroids, and adenomyosis, by leveraging Insilico’s proprietary AI-driven target identification engine, PandaOmics.
Swarms of pico-satellites could work together as a single large antenna for direct-to-smartphone communications, as reported by researchers from Japan. Instead of relying on a single large satellite with a phased-array antenna, the team showed that pico-satellites orbiting Earth in formation could each carry individual phased-array elements and be synchronized wirelessly. The proof-of-principle experiment demonstrated reliable, high-quality data transmission, paving the way for cheaper, more reliable network coverage worldwide.