Patented innovation powers adaptive data operations and accelerates commercial optimization for life sciences companies SANTA CLARA, Calif., Nov. 3, 2025 ...
Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...
Over the past three weeks, she has ridden a whirlwind of emotions — perhaps unlike any since her birth on May 31 2005. The fear of rejection, failure, despair, ecstasy and excitement. From a ...
Showcasing FAIR² Data Articles: Unlocking Trustworthy, AI-Ready Scientific Data for Reuse and Impact
Scientific knowledge is fundamentally built on data; yet, for too long, research datasets have remained siloed, poorly ...
Gajilan, who has worked at Reuters for more than 14 years and was then digital news director, had been reading about artificial intelligence and custom GPTs—tailored AI models that users could ...
What matters is solving real problems for customers, says Dhanji Prasanna, CTO of fintech company Block and ex-Google ...
The AI code assistant even gave the app a name: MoodFlow. The app was ready to publish in under five minutes, including the time it took to sign up for Lovable. Here’s a link to the published app: ...
How OpenRewrite uses Lossless Semantic Trees to deliver a full-fidelity representation of code, making transformations precise, repeatable, and auditable.
The Gemma-based model generated and validated a new cancer-therapy hypothesis in human cell experiments. It identified silmitasertib as a conditional amplifier that boosts immune visibility of tumors.
A new side-channel attack called Pixnapping enables a malicious Android app with no permissions to extract sensitive data by stealing pixels displayed by applications or websites, and reconstructing ...
Android devices from Google and Samsung have been found vulnerable to a side-channel attack that could be exploited to covertly steal two-factor authentication (2FA) codes, Google Maps timelines, and ...
Most scientific data never fuel the discoveries they should. For every 100 datasets created, around 80 remain in the lab, 20 are shared but rarely reused, fewer than two meet FAIR standards, and only ...
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