HERSHEY, Pa. — Usually, training artificial intelligence (AI) to detect cancer takes a team of experienced researchers and graduate students. But at Penn State, a high school intern had the opportunity to step up to the challenge and join a pilot project funded by Penn State Clinical and Translational Science Institute (CTSI). With Shaunak "Shaun"
Sponsored Content by Benchling Reviewed by Ify Isibor Jul 16 2026 Since accuracy, precision, and reproducibility play essential roles in the life sciences sector, telling researchers to embrace imperfect data may seem counterintuitive. However, the Benchling team has collaborated with more than a thousand life sciences companies, consulting on their data maturity and helping them
When Sergey Stavisky first started thinking about brain-computer interfaces (BCI) as an undergraduate at Brown University, he was motivated by three factors. “I liked building things,” he recalled, “and I wanted to do something medical. But I was also fascinated by the mind.” Sergey Stavisky | Regents of the University of California, Davis That combination
While the rest of the AI industry races to label its work as “AGI” or “superintelligence,” Alexandre LeBrun, the CEO of Yann LeCun’s world model startup, AMI Labs, avoids the terms altogether. Lebrun said in an interview with TechCrunch that the company doesn’t use terms like “AGI” or “superintelligence” at all. “We never used the word
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Click to enter your existing username and password or create a new account. Click to purchase an individual user subscription with your credit card. Expert Opinion Artificial Intelligence AI poses new risks to trade secrets through data leaks, reverse-engineering, and challenges to protections. Solutions include legal protections (copyright, patents), technical safeguards (encryption, watermarks), and specialized
Summary: A joint research initiative has introduced Centered Daydreaming. By combining simultaneous daytime learning and nocturnal pruning, and shifting the network’s focus to local sequence deviations rather than absolute values, the team has successfully pushed the network’s storage capacity to its absolute theoretical limit (100%), even when processing highly biased, realistic datasets. Key Facts The
Article Open access Published: 15 July 2026 Baliram Sambhaji Gayal1, Sandip Raosaheb Patil2, Dewanand Atmaram Meshram3, Rane Charushila Vijay4 & … Gitanjali S. Mate5 Scientific Reports (2026) Cite this article We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing.
Article Open access Published: 15 July 2026 Yingjie Zhang1 na1, Bolin Lian2 na1, Yingxi Ding3 na1, Chenxu Yang2 na1, Xiangxiru Xiong4, Yuqi Lu2, Baohua Tan1,5 & … Tianyu Li6 Scientific Reports (2026) Cite this article We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the
# Introduction Every Python codebase has this problem. A function that starts small. Two branches, maybe three. Then someone adds a case, someone else adds another, and a year later you've got 200 lines of if/elif/else that nobody wants to touch. Here's an example: def get_model(name): if name == "logreg": return LogisticRegression() elif name