From risk to reward: Mastering the art of adopting emerging technologies
09 Oct
Science & Technology

From risk to reward: Mastering the art of adopting emerging technologies

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Technology tamfitronics by Jim Wilt, CTO/Distinguished Architect, WVEOpinionOct 08, 202411 minsEmerging TechnologyGenerative AITechnology tamfitronics Tired of getting burned by overhyped tech? Learn how to balance innovation with risk management, avoid common pitfalls, create a strategic approach to adopting the bleeding edge to stay ahead of the curve.One of the greatest things about working in technology is the surprise advancements that take the industry by storm.Things like:The personal computerThe internetThe cloudBlockchainThe Internet of Things (IoT)Generative artificial intelligence (genAI)One of the worst things about working in technology is the surprise advancements that take the industry by storm. Why?Hype quickly surpasses reality.Whatever it is, it will steal everyone’s job.There is no way it will ever be secure.There is a race to be the first to expose your leveraging of it.Nobody knows what it is, what it really does,...
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Geoffrey Hinton warns of AI’s growing danger after Nobel Prize win
09 Oct
Science & Technology

Geoffrey Hinton warns of AI’s growing danger after Nobel Prize win

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Technology tamfitronics British-Canadian computer scientist Geoffrey Hinton has warned of artificial intelligence’s growing danger after winning the Nobel Prize in Physics.Professor Hinton, 76, said he was “flabbergasted” to be awarded the honour, which he shares with Princeton University’s John Hopfield.While his work has laid the foundations for machine learning, technology that allows computers to mimic human intelligence, his recent efforts have centred on advocating for safer artificial intelligence (AI).Last year he made headlines after resigning from his job at Google, citing concerns “bad actors” would use the technology to harm others.Speaking to the media in the aftermath of his win, Mr Hinton – once dubbed the “godfather” of AI – reiterated urgent calls for companies to do more research into AI safety.Left unchecked, he said, the technology increases the risk of cyber and phishing attacks, fake...
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More Tech, More Spec, More Fun Triumph Updates Trident 660 For 2025
09 Oct
Science & Technology

More Tech, More Spec, More Fun Triumph Updates Trident 660 For 2025

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Technology tamfitronics Triumph Motorcycles enhances its award-winning Trident 660 for 2025, fitting even more rider focused technology as standard, upgrading the suspension and introducing a choice of three bold new colours and graphic schemes.As the only triple engine in the class, the Trident 660 delivers thrilling, exploitable performance, and its agile, confidence inspiring handling and updated retro-modern styling is now paired with best-in-class rider-focused technology. Underpinned by Triumph’s renowned premium build quality and component specification, the Trident 660 now offers riders an even more compelling package and remarkably low cost of ownership.In response to customer demand, the Trident 660 now features a host of new equipment that is unprecedented in this class, with Optimised Cornering ABS and Traction Control, Triumph Shift Assist and cruise control all fitted as standard. The integrated TFT display and MyTriumph...
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Rapid species-level metagenome profiling and containment estimation with sylph
09 Oct
Science & Technology

Rapid species-level metagenome profiling and containment estimation with sylph

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Technology tamfitronics MainShotgun metagenomics, the sequencing of all microbial genomes in a sample, has allowed for unprecedented insight into microbial communities without the need for cultivating those communities in a wet lab1,2. Computational analyses often proceed by assembling metagenome-assembled genomes (MAGs) or profiling the reads against a database of reference sequences. While assembly is necessary for novel genome discovery, a fundamental drawback is that assembly may not work for low-abundance organisms. Reference-based profiling methods instead leverage vast collections of microbial genomes3,4 to identify microorganisms and their abundances even for low-abundance organisms.Metagenomes can be complex and large5,6,7. This necessitates accurate profiling methods that scale with high-depth samples and big databases. Algorithmic paradigms that have emerged under...
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