Latest news with #NobelPrize-winning
Express Tribune
4 days ago
- Science
- Express Tribune
US Dept of Energy's 'Doudna' supercomputer to use Nvidia, Dell tech
Nvidia CEO Jensen Huang speaks as he visits Lawrence Berkeley National Lab to announce a U.S. supercomputer to be powered by Nvidia's forthcoming Vera Rubin chips, in Berkeley, California, U.S., May 29, REUTERS Listen to article The US Department of Energy on Thursday said its "Doudna" supercomputer due in 2026 will use technology from Nvidia and Dell. The computer, named after Nobel Prize-winning scientist Jennifer Doudna who made key CRISPR gene-editing discoveries, will be housed at Lawrence Berkeley National Laboratory in Berkeley, California. An event held at the lab was attended by Secretary of Energy Chris Wright. Officials said that the system will use Nvidia's latest "Vera Rubin" chips built into liquid-cooled servers by Dell and will be used by 11,000 researchers. 🗣️📢 We're thrilled to work with The U.S. Department of @ENERGY on the flagship NERSC-10 supercomputer! Powered by our most advanced liquid-cooled server tech & @nvidia's next-generation accelerators - the "Doudna" system fuses #HPC & #AI to empower complex, integrated research… — Dell Technologies (@DellTech) May 29, 2025 "It will advance scientific discovery, from chemistry to physics to biology," Wright said at a press conference. The supercomputers operated by the US Department of Energy help scientists carry out fundamental scientific research. Doudna said her early work on CRISPR relied on support from the Energy Department. "Today, I think we're standing at a really interesting moment in biology that really marks the intersection of biology with computing," Doudna said. The Energy Department's supercomputers are also responsible for designing and maintaining the US nuclear weapons arsenal. "The scientific supercomputer is one of humanity's most vital instruments. It is the instrument for advancing knowledge discovery," Nvidia CEO Jensen Huang said at the event. "It is the foundation of scientific discovery for our country. It is also a foundation for economic and technology leadership. And with that, national security." Designed to accelerate science, @doescience announces the new 'Doudna' supercomputer, powered by NVIDIA and @Dell at @NERSC's @BerkeleyLab. Driven by @NVIDIA's next-generation Vera Rubin platform, this system brings together AI and simulation to help 11,000 scientists tackle… — NVIDIA Newsroom (@nvidianewsroom) May 29, 2025 Huang's remarks came a day after he praised US President Donald Trump while at the same time sharply criticizing export controls on selling Nvidia's chips to China that have cost Nvidia billions of dollars in lost revenue. Republican and Democratic senators Jim Banks and Elizabeth Warren sent a letter to Huang on Wednesday raising national security concerns about Nvidia's plans to open a research and development facility in Shanghai. On social media platform X, Senator Tom Cotton, an Arkansas Republican, wrote that "keeping advanced AI chips out of the hands of the Chinese Communists isn't about business, it's a national security issue. A word of warning to companies like Nvidia, anyone who breaks the law and circumvents export controls will be held accountable." Keeping advanced AI chips out of the hands of the Chinese Communists isn't about business, it's a national security issue. A word of warning to companies like @nvidia, anyone who breaks the law and circumvents export controls will be held accountable. — Tom Cotton (@SenTomCotton) May 29, 2025
Mint
4 days ago
- Lifestyle
- Mint
No Zepto, No Blinkit, No Instamart—Just sanity: My 30-day detox changed everything
It merely started off as an experiment. A friend nonchalantly said, 'You are not broke, you are merely addicted to convenience.' That hit harder than expected. I opened my expense tracker and there it was — a trail of daily micro-spends: ₹ 60 here for milk and bread delivered in 10 minutes, ₹ 240 for a cab ride that could have been a metro journey, ₹ 180 for a lazy lunch at home thanks to a cloud kitchen. The numbers added up like silent termites eating into my monthly budget. So, with a heavy heart, I decided to quit. No more online grocery deliveries, instant food apps, or on-demand cabs for 30 days. No taps, no clicks — just old-school living. My first trip to the local market was humbling. It's not just about picking things up, it is navigating crowds, bargaining for vegetables, carrying bags, sweating in the sun, and remembering to bring your own cloth bag. Since plastic is banned, nobody gives you one for free. But something curious happened. I spoke to people. The sabziwala told me tomatoes would be cheaper after Thursday's mandi. The kirana store guy knew exactly which atta I usually ordered online. I wasn't just consuming, I was connecting. The physical effort made me value my purchases more. I couldn't buy five random snacks just because I was bored. I had to want them enough to walk a kilometre in 38°C heat. I always justified instant apps by saying they saved time. But now that I wasn't using them, I noticed how I used that 'saved' time — scrolling endlessly, bingeing shows, or doom-scrolling Twitter. Not exactly Nobel Prize-winning activities. Now, my routines slowed down but felt richer. Making a meal from scratch felt like an achievement. Taking the metro forced me to read again. A walk to the store doubled as a podcast session and a breather from screens. The things I thought were time-wasters turned out to be tiny acts of self-care. The apps always push the idea that everything is urgent. Get it in 10 minutes! 20% off if you order right now! But in real life, I found nothing was really that urgent. I started planning better, writing lists, and cooking in batches. Sure, there were moments I missed the ease. Like when I needed one onion and didn't have it. But I also discovered I could borrow from a neighbour. (Remember that quaint old idea?) Or improvise the recipe. My food tasted different — less perfect maybe, but more me. I went through my bills again and right away it couldn't be more different. I had saved something like ₹ 6,000 without switching jobs, getting a raise, or starting a side hustle. All by avoiding convenience purchases. That's ₹ 72,000 a year. An international trip, an emergency fund, or six months of SIPs. But the gain wasn't just monetary. I felt lighter. More in control. More rooted in my community, my neighbourhood, my routine. The same world I had once tried to escape through an app, now felt more real and satisfying. Online delivery apps, on-demand services, and quick-commerce platforms are modern marvels — but they come with hidden costs. Not just financial, but also emotional, physical, and social. They nibble away at our time, resilience, creativity, and even our ability to deal with discomfort. This experiment wasn't a rejection of modernity. It was a reset. I still use the apps, but only sparingly. Not for laziness, but for necessity. This means I use the apps not because I can, but because I choose to. Because convenience, unchecked, is the most expensive addiction we never talk about.
The Star
4 days ago
- Science
- The Star
Nvidia, Dell to supply next US Department of Energy supercomputer
FILE PHOTO: A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, U.S., July 31, 2017. REUTERS/Mike Blake/File Photo BERKELEY, California - (Reuters) -The U.S. Department of Energy on Thursday said its "Doudna" due in 2026 will use technology from Nvidia and Dell. The computer, named for Nobel Prize-winning scientist Jennifer Doudna who made key CRISPR gene-editing discoveries, will be housed at Lawrence Berkeley National Laboratory in Berkeley, California. At an event at the lab attended by Secretary of Energy Chris Wright, officials said that the system will use Nvidia's latest "Vera Rubin" chips built into liquid-cooled servers by Dell and will be used by 11,000 researchers. (Reporting by Stephen Nellis in Berkeley, California)
Yahoo
4 days ago
- Business
- Yahoo
Nvidia, Dell to supply next US Department of Energy supercomputer
BERKELEY, California - (Reuters) -The U.S. Department of Energy on Thursday said its "Doudna" due in 2026 will use technology from Nvidia and Dell. The computer, named for Nobel Prize-winning scientist Jennifer Doudna who made key CRISPR gene-editing discoveries, will be housed at Lawrence Berkeley National Laboratory in Berkeley, California. At an event at the lab attended by Secretary of Energy Chris Wright, officials said that the system will use Nvidia's latest "Vera Rubin" chips built into liquid-cooled servers by Dell and will be used by 11,000 researchers. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Scroll.in
6 days ago
- Business
- Scroll.in
A new book suggests ways to build symbiotic relationships between humans and AI
The traditional enterprise, with its rigid structures and constrained decision-making, is increasingly ill-suited to adapt to the dynamic and unpredictable environment of a co-intelligence world of individuals as creative-experiencers involved in Human–AI interactive engagement and co-creation of risk-managed value. It calls for a symbiotic relationship between human flourishing and the socio-technical assemblages that we have formed collectively. Only through thoughtful, risk-managed co-intelligence value co-creation can we ensure that it empowers us, rather than extinguishes the very spark of humanity and life – experiences it seeks to amplify. AI first needs to be seen as augmenting, and not just automating, human work. Davenport and Kirby note the promise of augmentation in their 2016 book, Only Humans Need Apply: 'humans and computers combine their strengths to achieve more favourable outcomes than either could alone.' As Nobel Prize-winning economist Daron Acemoglu argues, the focus on automation over augmentation is a choice and not a predetermined outcome of technological advancement. With the appropriate economic and non-economic incentives, such as tax policies and research emphasis, the right type of AI may be developed that supports employment and shared prosperity. Another important question that enterprises must ask themselves is what constitutes social responsibility in a business? They should find the right balance between a focus on maximising profits for shareholders, solving social problems and improving society as a whole. Marjorie Kelly, a leading theorist in next-generation organisational design, suggests a way for profit-maximising corporations to become living enterprises in a sustainable economy. She writes in The Systems View of Life (by Fritjof Capra and Pier Luigi Luisi): 'You don't start with the corporation and ask how to redesign it. You start with life, with human life and the life of the planet, and ask, how do we generate the conditions for life's flourishing?' As we have argued, we need a Life-Xverse first frame of reference in leveraging co-intelligence, one rooted in cocreating positive, valuable and emergent life–experiences with AI. Enterprises must co-design co-intelligence architectures steering organisational ecosystems with a life–experience orientation towards human and planetary wellbeing. This calls for a new form of enterprise in leading the co-intelligence revolution powered by AI factories of the future. Co-intelligence architectures must be configured to support offering, value chain, management and NEST ecosystems, with organisations themselves seen as assemblages through which interactive agency takes place. In addition to the technical architecture, this requires paying attention to the social architecture – the management structure, talent development, training, skills, beliefs, decision rights, performance metrics, rewards, and values of the organisation – to enable co-creative risk-managed value. Successful transformation rests on the co-creative capacities of organisational architectures to enable extended enterprise and open/social network-resourced capabilities to be harnessed effectively by the organisation. We call this new form of enterprise a co-intelligent enterprise. Building on our discussion of organisational management transformation and risk management in this chapter, cointelligent enterprises are characterised by: Harnessing Human–AI co-creation, leveraging tokens of digital intelligence (TDIs) through a risk-managed PIEX lens and co-innovating with stakeholders to build ecosystems of capabilities. Designing organisations as living systems that continuously learn and adapt through 'co-intelligence knowledge environments,' where TDIs act as modular units of actionable intelligence, enabling managers – viewed as creative-experiencers – to engage dynamically with Nextgen AI systems and co-creating risk-managed value across individuals, communities, functions and sectors. Co-Evolving SWIs at speed, scale and scope across private, public and plural sectors, with TDIs dynamically orchestrating feedback loops that iteratively align actions with SWI goals and enhance systemic resilience. Cultivating EcoAI literacy and lifelong learning, leveraging TDIs as actionable bridges to integrate Nextgen AI literacy with eco-literacy, addressing environmental and societal concerns ethically, thereby steering organisational ecosystems towards a harmonious world of human development and planetary wellbeing. Excerpted with permission from The Co-Intelligence Revolution: How Humans and AI Co-Create New Value, Venkat Ramaswamy and Krishnan Narayanan, Penguin India.
