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Peter Higgs: science mourns giant of physicsTheoretical physicist Peter Higgs, the namesake of the boson that was discovered in 2012, died on Monday, aged 94. Six decades ago, Higgs first suggested how an elementary particle of unusual properties could pervade the universe in the form of an invisible field, giving other elementary particles their masses. Half a century later, experiments confirmed the prediction and Higgs shared the Nobel Prize for the discovery. Notoriously self-deprecating, Higgs was uncomfortable with fame and shunned the spotlight: he was inaccessible by e-mail or mobile phone. "Peter was a very special person, an immensely inspiring figure for physicists around the world, a man of rare modesty, a great teacher and someone who explained physics in a very simple yet profound way," says Fabiola Gianotti, director-general of CERN. Nature | 4 min read | |||||
Five things we don't know about the HiggsOn 4 July 2012, researchers at CERN's Large Hadron Collider declared success in their long search for the Higgs boson. The elusive particle's discovery filled in the last gap in the standard model — physicists' best description of particles and forces — and opened a new window onto physics by providing a way to learn about the Higgs field and how it gives particles their masses. But many of the properties of the Higgs boson remain mysterious. Nature | 8 min read (from 2022) | |||||
Podcast: Higgs boson at 10In this podcast from 2022, two Nature physics gurus — senior reporter Lizzie Gibney and Federico Levi, a senior physics editor for the journal — looked back to the discovery of the Higgs boson ten years earlier. They reminisce about their experiences of its discovery, what the latest run of the Large Hadron Collider might reveal about the particle's properties and what role it could have in science beyond the standard model of particle physics. Nature Podcast | 22 min listen (from 2022)Subscribe to the Nature Podcast on Apple Podcasts or Spotify. | |||||
Notable quotable"Today I wouldn't get an academic job. It's as simple as that. I don't think I would be regarded as productive enough."In 2013, Higgs told The Guardian that it's unlikely he would have done his groundbreaking work under today's 'publish or perish' culture. (5 min read) | |||||
Iran releases jailed conservationistsIn a surprise move, Iran has pardoned and released the last four members of a wildlife conservation group that were imprisoned since 2018. The four are part of a group of nine arrested and charged with espionage while carrying out research on Iran's endangered Asiatic cheetah and Persian leopard. The group's leader, sociologist Kavous Seyed-Emami, died in prison. The release is "very good news. But nothing can restore the lost years of life and the loss of Emami," says Kaveh Madani, who was deputy head of Iran's Department of Environment when he was arrested as part of the same operation. Nature | 4 min read | |||||
Turing Award for randomness researcherAvi Wigderson has won what is considered the 'Nobel Prize' of computer science for his work on randomness in algorithms. With a series of groundbreaking studies in the 1990s, Wigderson helped to confirm that algorithms that make random choices to achieve their objectives are as accurate as conventional, deterministic algorithms. "I was extremely happy, and I didn't expect this at all," Wigderson says. "I'm getting so much love and appreciation from my community that I don't need prizes." Nature | 4 min read | |||||
The Javan tiger might still existIn 2019, conservationist Ripi Yanuar Fajar and four others observed what might have been a Javan tiger (Panthera tigris sondaica), which are thought to have gone extinct in the 1980s. Now it seems a strand of hair recovered by researcher Kalih Raksasewu from the location of the sighting 10 days later is a genetic match with a Javan tiger pelt held in a museum. "I wanted to emphasize that this wasn't just about finding a strand of hair, but an encounter with the Javan tiger in which five people saw it," says Kalih. Mongabay | 6 min readReference: Oryx paper | |||||
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| This live Javan tiger was photographed in 1938. (Andries Hoogerwerf via Wikimedia Commons (Public domain)) | |||||
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AI can help to tailor drugs for AfricaArtificial intelligence (AI) systems can help researchers to understand how genetic differences affect people's responses to drugs. Yet most genetic and clinical data comes from the global north, which can put the health of Africans at risk, writes a group of drug-discovery researchers. They suggest that AI models trained on huge amounts of data can be fine-tuned with information specific to African populations — an approach called transfer learning. The important thing is that scientists in Africa lead the way on these efforts, the group says. Nature | 10 min read | |||||
Media exposure can supercharge researchMedia engagement can open up unexpected opportunities for collaborations and skills development, says physical-activity researcher Ben Singh. Although scientists should court media attention responsibly — the ultimate goal is to inform the public — he suggests pitching published papers to relevant journalists and outlets, writing for websites such as The Conversation or using social media to connect with peers and the public. To avoid overly simplified coverage or misinterpretation of his work, he learnt to "articulate the actual objectives and limitations clearly up front during interviews, conferences and seminars". Nature | 5 min read | |||||
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What matters in science | View this email in your browser Friday 2 February 2024 Hello Nature readers, Today we explore language-learning through a baby's eyes, explore why autoimmune disease is more common in women and discover an alternative to qubits called 'qumodes'. The artificial intelligence (AI) learned using video and audio from a helmet-mounted camera worn by Sam — here aged 18 months. (Wai Keen Vong) AI learns language through a baby's eyes ...
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