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Generative AI models build new antibiotics starting from a single atom

Researchers have tapped into the power of generative artificial intelligence to aid them in the fight against one of humanity’s most pernicious foes: antibiotic-resistant bacteria. | Researchers have tapped into the power of generative artificial intelligence to aid them in the fight against one of humanity’s most pernicious foes: antibiotic-resistant bacteria. Using a model trained on a library of about 40,000 chemicals, scientists were able to build never-before-seen antibiotics that killed two of the most notorious multidrug-resistant bacteria on earth.

Researchers send a wireless curveball to deliver massive amounts of data

Ultrahigh frequency bandwidths are easily blocked by objects, so users can lose transmissions walking between rooms or even passing a bookcase. Now, researchers at Princeton engineering have developed a machine-learning system that could allow ultrahigh frequency transmissions to dodge those obstacles.

Self-powered photodetector achieves 20-fold sensitivity boost using novel device structure

Silicon semiconductors used in existing photodetectors have low light responsivity, and the two-dimensional semiconductor MoS₂ (molybdenum disulfide) is so thin that doping processes to control its electrical properties are difficult, limiting the realization of high-performance photodetectors.

A KAIST research team has overcome this technical limitation and developed the world’s highest-performing self-powered photodetector, which operates without electricity in environments with a light source. This paves the way for precise sensing without batteries in , biosignal monitoring, IoT devices, autonomous vehicles, and robots, as long as a is present.

Professor Kayoung Lee’s research team from the School of Electrical Engineering developed the self-powered photodetector, which demonstrated a sensitivity up to 20 times higher than existing products, marking the highest performance level among comparable technologies reported to date. The work is published in the journal Advanced Functional Materials.

AI Revolution Could Require Us to Re-Think Money Entirely

It’s the defining technology of an era. But just how artificial intelligence (AI) will end up shaping our future remains a controversial question.

For techno-optimists, who see the technology improving our lives, it heralds a future of material abundance.

That outcome is far from guaranteed. But even if AI’s technical promise is realised – and with it, once intractable problems are solved – how will that abundance be used?

ERMAC Android malware source code leak exposes banking trojan infrastructure

The source code for version 3 of the ERMAC Android banking trojan has been leaked online, exposing the internals of the malware-as-a-service platform and the operator’s infrastructure.

The code base was discovered in an open directory by Hunt.io researchers while scanning for exposed resources in March 2024.

They located an archive named Ermac 3.0.zip, which contained the malware’s code, including backend, frontend (panel), exfiltration server, deployment configurations, and the trojan’s builder and obfuscator.

It Feels Like Apple Is Trying To Lose

Apple’s prioritization of shareholder value through massive share buybacks over investing in innovation and R&D may be a strategic misstep that could hinder its future success and allow competitors to gain an edge, particularly in emerging markets like AI

## Questions to inspire discussion.

Innovation and Investment.

🔬 Q: How could Apple’s buyback program have been used differently? A: A: Apple’s $700 billion share buyback over the past decade could have been invested in R&D to develop innovative products like a car, potentially yielding greater long-term value.

🤖 Q: What is Apple’s current stance on AI development? A: Apple’s inaction in AI is notable, with Siri’s performance declining over time, indicating a lack of focus on this crucial technology sector.

Product Development and Market Strategy.

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