❌

Normal view

Conheça o Koenigsegg feito com 327.906 peças de Lego que envergonha alguns carros a sério

20 June 2026 at 15:05

Com 327.906 peças, mais de 9,400 horas de montagem e 111 km/h de velocidade máxima. Conheça o carro de Lego mais rápido de sempre, o Koenigsegg Sadair’s Spear, que foi construído à escala real, para celebrar o lançamento do novo conjunto 1/8 com 4.104 peças.

The post Conheça o Koenigsegg feito com 327.906 peças de Lego que envergonha alguns carros a sério appeared first on Tek Notícias.

A viral doomsday scenario aims to shake Europe out of its AI complacency

20 June 2026 at 10:59

Does a thought-experiment about US ascendancy in the technology say as much about AI jitters as it does about the reality?

It’s 2031 and the US and China are about to tear Europe into pieces.

The US ploughed vast sums into datacentres and the EU did not. China built robots and Europe did not. American companies “restructured” their workflows around AI and fired people, while EU workers went on long lunch breaks and handed over administrative tasks to the AI model Claude.

Continue reading...

© Photograph: Hannibal Hanschke/EPA

© Photograph: Hannibal Hanschke/EPA

© Photograph: Hannibal Hanschke/EPA

India’s Jio lays out sovereign LEO constellation plan ahead of IPO

19 June 2026 at 20:27

Jio Platforms, which owns India’s largest telco, is looking to lease broadband capacity from satellite constellations to jumpstart its own sovereign LEO network in the country.

The post India’s Jio lays out sovereign LEO constellation plan ahead of IPO appeared first on SpaceNews.

Truffa gaming, compra RTX 4090 per 200 dollari ma la GPU è... di plastica

19 June 2026 at 17:45

La scarsa disponibilità e l’elevatissimo valore delle schede video gaming di ultima generazione continuano a rappresentare un terreno fertilissimo per i truffatori che non si fanno scrupoli a sfruttare gli utenti più sprovveduti: in Cina il noto tecnico e rivenditore conosciuto come Brother Zang si è trovato per le mani una presunta GeForce RTX 4090 acquistata per l’equivalente di circa 200 dollari che si è rivelata essere un falso particolarmente elaborato.

A una prima occhiata la scheda sembrava in tutto e per tutto autentica: il PCB era molto credibile e le serigrafie del codice modello sulla GPU erano corrette (sigla AD102-300-A1). Tuttavia, un’analisi più approfondita ha fatto emergere diversi dettagli che non quadravano. Tanto per cominciare, il seriale della data di produzione indicava che la GPU era stata prodotta nel 2030, che, al netto di essere in possesso di un flusso canalizzatore, è ragionevolmente impossibile. Mancavano inoltre alcuni dettagli identificativi normalmente presenti sui chip originali, come specifiche incisioni e codici QR di verifica.

creating a fake 4090 by repurposing 3080/3090 die is nothing new. whats new, however, is that this specific example uses plastic to imitate the silicon die. there is no "glue"/"adhesive" surrounding the silicon.

furthermore, the markings are completely incorrect. afaik a "30"… pic.twitter.com/QSFOszlkMt


Miglior smartphone rapporto qualità prezzo fascia media? Motorola Edge 60 Pro, compralo al miglior prezzo da Amazon Marketplace a 329 euro.

CLICCA QUI PER CONTINUARE A LEGGERE

Sir Kenny Dalglish is Right: Cancer Should be Private – A Lesson it Seems Many Need to Learn

19 June 2026 at 15:00

After accidentally revealing his cancer diagnosis, Sir Kenny Dalglish is a role model in insisting such matters "should ideally be private", says Steven Tucker. It's a lesson many seem to need to learn.

The post Sir Kenny Dalglish is Right: Cancer Should be Private – A Lesson it Seems Many Need to Learn appeared first on The Daily Sceptic.

I nuovi robot di NVIDIA imparano nuove skill ad alta precisione "al volo"

18 June 2026 at 11:55

Nvidia ha mostrato una nuova generazione di robot capaci di apprendere autonomamente compiti complessi nel mondo reale, aprendo la strada a sistemi sempre più indipendenti nell’esecuzione di attività manuali di precisione, come per esempio l’installazione di una scheda grafica su una motherboard. La dimostrazione arriva dal progetto ENPIRE, una piattaforma sperimentale che combina intelligenza artificiale agentica e robotica fisica per consentire alle macchine di migliorare le proprie capacità direttamente attraverso l’esperienza.

Nel video condiviso su LinkedIn da Jim Fan, direttore dell’AI Research di Nvidia, si possono osservare diversi robot impegnati in operazioni che richiedono coordinazione, precisione e adattamento. Tra gli esempi mostrati abbiamo, oltre all’inserimento di una scheda grafica in una scheda madre, l’organizzazione di piccoli pin metallici in appositi contenitori e l’installazione di fascette da elettricista, incluso il taglio del materiale in eccesso.

Alla base del progetto c’è un approccio che Nvidia definisce AutoResearch. In pratica, un gruppo di agenti AI riceve un obiettivo da raggiungere e dispone di una vasta flotta di robot, GPU e token per trovare autonomamente la soluzione migliore. Gli agenti osservano l’ambiente, sperimentano, correggono gli errori, consultano documentazione tecnica, analizzano risultati precedenti e affinano progressivamente le strategie operative. Secondo Jim Fan, direttore dell’AI Research di Nvidia, il progetto rappresenta uno dei primi esempi concreti di auto-addestramento, strumento classico del mondo AI, applicato direttamente al mondo fisico.


Piccolo prezzo per un ottimo smartphone? Honor 400 Lite, compralo al miglior prezzo da Amazon Marketplace a 130 euro.

CLICCA QUI PER CONTINUARE A LEGGERE

Quelle carte graphique faut-il pour jouer en haute performance en 2026 ?

18 June 2026 at 09:30
En 2026, la RTX 5070 est la carte de référence pour les joueurs exigeants : elle fait tourner tous les grands titres en 1440p Ultra avec le ray tracing activé, sans compromis sur la fluidité. En dessous, la RTX 5060 couvre largement les jeux compétitifs et les AAA modérés en 1080p-1440p....

Lifestyle Factors Linked to Prostate Cancer Risk in Indian Men

17 June 2026 at 21:09

A groundbreaking hospital-based study conducted in India sheds new light on the complex and often controversial relationship between lifestyle factors and prostate cancer risk. Published in the April 28, 2026 issue of Oncoscience, this investigation provides intriguing evidence that certain modifiable habits, specifically coffee and meat consumption, may significantly reduce the likelihood of developing prostate cancer among men. This revelation emerges despite prostate cancer being the world’s second most prevalent malignancy in men and a critical contributor to cancer-related mortality.

The research was spearheaded by Maya Kulshekar and Anuradha B. Patil at the Department of Biochemistry, Jawaharlal Nehru Medical College, part of the KLE Academy of Higher Education and Research in Karnataka, India. Their work comes at a crucial moment when the incidence of prostate cancer in India is poised to rise markedly, underscoring the urgent need to identify interventions grounded in modifiable risk behaviors.

In this rigorously designed study, 72 men with histopathologically confirmed prostate cancer were compared to 132 control individuals diagnosed with benign prostatic hyperplasia (BPH). The investigators carefully examined a suite of lifestyle factors—ranging from tobacco use and alcohol consumption to dietary patterns including tea, coffee, and meat intake, as well as occupational exposure linked to farming. Thorough multivariate logistic regression analyses allowed the team to adjust for confounding variables, thereby refining the associations between these factors and prostate cancer risk.

The findings revealed a striking inverse association between coffee consumption and prostate cancer risk, translating to an approximate 65% reduction in odds after adjustment for potential confounders. Meat consumption similarly demonstrated a protective effect, associated with a roughly 48% decreased risk. These results challenge some conventional nutritional beliefs and highlight the nuanced role diet may play in modulating prostate oncogenesis.

Contrastingly, the study found no statistically significant correlation between alcohol consumption, tobacco chewing, smoking, tea intake, or farming-related occupational exposure and prostate cancer once confounding factors were accounted for. Initial univariate analyses suggested elevated risk linked to smoking and tobacco chewing; however, these associations dissipated under multivariable scrutiny, suggesting the potential influence of other interacting factors.

The biochemical mechanisms underpinning these associations were thoughtfully explored by the authors. Coffee is a complex beverage rich in bioactive compounds including caffeine, cafestol, kahweol, and a spectrum of antioxidant polyphenols. These molecules have been extensively studied for their anti-inflammatory and antioxidant properties, implicating them in pathways that may suppress malignant transformation or tumor progression. Their capacity to modulate cellular stress responses, DNA repair, and immune regulation positions coffee as a potent functional food in cancer prevention paradigms.

Similarly, meat contains constituents such as trans-vaccenic acid, an unsaturated fatty acid that has been observed in some experimental models to influence immune responses and cellular signaling pathways relevant to oncogenesis. Notwithstanding, the study authors caution that the protective role of meat is complicated by the heterogeneity inherent in types of meat, cooking methods, and quantity consumed—parameters that were not stratified in this investigation. The metabolic and molecular consequences of processed versus unprocessed meats or the generation of carcinogenic compounds during certain cooking processes remain pivotal confounders warranting further rigorous examination.

This research importantly acknowledges the broader scientific context where prior epidemiological studies have reported inconsistent and at times contradictory findings regarding coffee, meat, tobacco, tea, and alcohol in relation to prostate cancer risk. This inconsistency may stem from differences in study design, dietary assessment methods, population genetics, and environmental factors across cohorts. The current study’s contribution lies in focusing on an Indian population, thereby addressing a geographic and ethnic gap in the literature.

The methodological design, while robust, is not without limitations. The single-center hospital-based sample, and relatively modest cohort size, may affect the generalizability of the findings. Additionally, potential recall bias in self-reported lifestyle habits and the absence of quantitative dietary intake measures restrict the granularity of exposure assessment. The authors advocate for larger, multicenter, and longitudinal studies with comprehensive dietary and lifestyle quantification to validate and expand upon these preliminary observations.

This investigation marks an important step toward understanding how modifiable lifestyle factors could temper the risk of prostate cancer. By highlighting coffee and meat intake as potentially protective, the study invites a reevaluation of dietary guidelines and preventive oncology strategies within the Indian context and beyond. The mechanistic insights further fuel the search for bioactive compounds that could be leveraged in therapeutic or nutraceutical formulations.

Ultimately, these findings reinforce the imperative for personalized medicine approaches that integrate lifestyle, genetic, and environmental data to optimize cancer prevention and management. They also echo broader calls within the oncological community to pursue open-access, multidisciplinary research that bridges molecular science with public health imperatives.

While the findings demand cautious interpretation, they open an exciting avenue for leveraging everyday dietary choices as part of a comprehensive prostate cancer risk reduction strategy. As prostate cancer incidence is projected to escalate, especially in rapidly modernizing societies, these insights provide a timely beacon for clinicians, researchers, and policy makers alike.

The study’s implications extend beyond prostate cancer, emphasizing a holistic perspective on how complex interplays of diet, lifestyle, and biological mechanisms coalesce to impact carcinogenesis. It epitomizes the potential for traditional epidemiological research, augmented by advanced statistical modeling, to generate actionable knowledge that may ultimately improve patient outcomes on a population scale.

Researchers and clinicians interested in this expanding field are encouraged to follow ongoing and future work from this team and related cohorts worldwide, as the quest to decipher modifiable risk factors of prostate cancer continues to gain precision and impact.


Subject of Research: People
Article Title: Modifiable risk factors of prostate cancer: Insights from a hospital-based study
News Publication Date: 28-Apr-2026
Web References: https://doi.org/10.18632/oncoscience.657
Image Credits: Copyright © 2026 Kulshekar et al. Creative Commons Attribution License (CC BY 4.0)
Keywords: modifiable risk factors, prostate cancer, awareness, India, molecular mechanism

AI coding agents taught robots how to install GPUs and cut zip ties

17 June 2026 at 20:25

What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” for teaching the robots various tasks? The agents can apparently figure out a training regimen that teaches the robots to successfully cut zip ties and even insert GPUs into thin sockets on motherboards.

That glimpse into how AI can act in a fully autonomous way to automate robot training was made possible by a new agent harness framework—software that wraps around AI models to enable their use of various tools while also providing capabilities such as memory, context, constraint, and feedback loops. That agentic harness, called ENPIRE, was developed by robotics researchers at the Nvidia GEAR (Generalist Embodied Agent Research) lab alongside collaborators from Carnegie Mellon University in Pittsburgh and the University of California, Berkeley.

“A part of our NVIDIA GEAR lab now self-improves tirelessly overnight,” wrote Jim Fan, director of AI at NVIDIA, in a LinkedIn post. “We just read the reports in the morning.”

Read full article

Comments

© NVIDIA

❌