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💡 Break the tradition and redefine resource allocation! 👯‍♂️Traditional resource allocation relies on static rules and manual scheduling, which makes it difficult to cope with sudden demands and changes in complex environments. Now, #BES Pyramid Energy AI Smart Purifier completely subverts this model. In the DePIN network, AI intelligently... show more

BES_web3

2,079 subscribers

30,147 Aufrufe • vor 1 Jahr •via X (Twitter)

Finanzen Gesundheit & Wellness Wissenschaft & Technologie #BES

Anya Rossi• Live Now

Private livecam show

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Md Rakibvor 1 Jahr

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Introducing the most comprehensive archive of Chinese cigarettes to exist on the western net - Discover new packs and their history - Track favorites and packs you already tried - Share your collection! I have an obsession with Chinese ciggies and their art, but always found it hard to remember which ones I tried or which to recommend to friends visiting the mainland for the first time... ... so I scraped the Chinese net and created the best resource to exist in the west!

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Chris Camillo explains how Bloom Energy is solving AI data center energy usage problems… “ $BE is one of the only companies in the world that has a method to essentially bring almost an infinite amount of energy to these data centers." And we won't get into all the technology, but they are now working with hyperscalers and they are a resource for energy that will allow a data center to get ramped up quicker. "So, even though it costs a little bit more money today to put an energy cell from Bloom, an energy box from Bloom, which are energy cells, it essentially takes things like natural gas, but instead of burning the natural gas, there is a chemical process that turns that natural gas into energy for the data center."

The Iced Coffee Hour

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The first open-source unified world model for scalable robot manipulation: 5B-parameter open-source unified video-action world model that combines policy and world modeling to generate robot actions, predict future visuals, and evaluate task progress from observations, language, and state. The model is trained on 27.3K hours of heterogeneous data (17.8K real-robot teleop, 6.5K UMI demos, 3K egocentric human videos), enabling it to perform complex manipulation tasks like faucet connecting, bag packing, and toolbox storing as shown in demo videos. The approach supports test-time action refinement and points toward deployment-driven continuous improvement via fleet data. Thanks for sharing, Jianlan Luo (Jianlan Luo)! 📌 Resource links for τ0-WM: • Project page: • GitHub (code): • Hugging Face (model weights): • Paper (PDF): ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

28,276 Aufrufe • vor 3 Monaten

We are preparing for negotiations with our partners—both European and American—starting midweek. This includes the Ramstein meeting, discussions in Kyiv, and later, participation in the Munich Security Conference. It is crucial that we all work together to bring about real peace and effective security guarantees—the security of our people, our state, our economic relations, and, importantly, our resource resilience—not just for Ukraine, but for the entire free world. All of this is being decided now—by Ukraine and our partners. Peace is always a collective effort.

We are preparing for negotiations with our partners—both European and American—starting midweek. This includes the Ramstein meeting, discussions in Kyiv, and later, participation in the Munich Security Conference. It is crucial that we all work together to bring about real peace and effective security guarantees—the security of our people, our state, our economic relations, and, importantly, our resource resilience—not just for Ukraine, but for the entire free world. All of this is being decided now—by Ukraine and our partners. Peace is always a collective effort.

Volodymyr Zelenskyy / Володимир Зеленський

332,188 Aufrufe • vor 1 Jahr

Introducing Yellowcake Analytics v2. Yellowcake Analytics is a free research platform I’ve been building for the uranium sector. It started as a simple tracker for resource estimates pulled from SEC filings. These updates make it a full research stack and one of the most comprehensive free resources for uranium investing. Market and sector data * AI datacenter deal tracker: hyperscaler nuclear deals, converted into pounds of uranium per year * Interactive map of 400+ mines, reactors, and fuel-cycle facilities worldwide * Physical uranium tracker: SPUT and peers, ~110 Mlb across funds * US and EU import monitor: Russian uranium imports tracked against the waiver caps that expire in 2028 Company research * Stock pages for 17 miners: financials from filings, real-time pricing, and resource data in one place * AI-generated summaries of new SEC filings and uranium news, updated daily * Guidance tracker: what producers promised vs what they delivered Analyst tools * Customizable watchlist with email alerts: spot moves, SPUT premium shifts, and new filings from tickers you follow * Screener to compare miners on resource size, grade, market cap, and cash position Every number links to its primary source, so you can verify yourself.

Introducing Yellowcake Analytics v2. Yellowcake Analytics is a free research platform I’ve been building for the uranium sector. It started as a simple tracker for resource estimates pulled from SEC filings. These updates make it a full research stack and one of the most comprehensive free resources for uranium investing. Market and sector data * AI datacenter deal tracker: hyperscaler nuclear deals, converted into pounds of uranium per year * Interactive map of 400+ mines, reactors, and fuel-cycle facilities worldwide * Physical uranium tracker: SPUT and peers, ~110 Mlb across funds * US and EU import monitor: Russian uranium imports tracked against the waiver caps that expire in 2028 Company research * Stock pages for 17 miners: financials from filings, real-time pricing, and resource data in one place * AI-generated summaries of new SEC filings and uranium news, updated daily * Guidance tracker: what producers promised vs what they delivered Analyst tools * Customizable watchlist with email alerts: spot moves, SPUT premium shifts, and new filings from tickers you follow * Screener to compare miners on resource size, grade, market cap, and cash position Every number links to its primary source, so you can verify yourself.

Patrick Scott

18,631 Aufrufe • vor 1 Monat

Revolutionising CAR Duty Allocation: Launch of Generative AI-Based System by CP Hyderabad Sri VC Sajjanar, IPS, Commissioner of Police, Hyderabad, today launched a cutting-edge Generative AI-based Duty Allocation system for the City Armed Reserve (CAR) unit. Developed in a record time of approximately two months, this initiative marks a significant milestone in transforming the Hyderabad Police through advanced technology. The system replaces the traditional manual allocation process, which was often time-consuming, error-prone, and faced allegations of bias. By transitioning to an AI-driven model, the department ensures a more motivated workforce and allows senior officers to redirect their time from administrative tasks to core policing. *Key Highlights of the System:* •Unbiased & Transparent: The system utilizes the "Hungarian Method" for score-based allocation, ensuring a fair and transparent process that eliminates manual interference. •Data-Driven Selection: Allocations are determined by objective parameters, including seniority, days in reserve, rewards, discipline, and health scores. •Instant Communication: Leveraging OpenAI APIs, the platform automatically generates personalized official posting letters, reducing administrative overhead to zero. •AI Chat Assistant: A built-in conversational AI interface allows staff to ask questions about allocations and rules in real-time, providing instant explainability and reducing the need for extensive training. •High Efficiency: In its initial run, the system processed 1,796 applicants to fill 208 positions across various categories like Secretariat, CM Office, Traffic and Interceptor vehicles. "Our goal is to leverage the power of AI to handle administrative complexities, allowing our police force to focus entirely on their core duty of policing," stated Sri VC Sajjanar, IPS during the launch. On this occasion, appreciation was expressed to Sri Trinath Babu and Sri Sunil Regula of Hansa Equity Partners LLP, who played a key role in this initiative. In this meeting, duty allotment orders issued to CAR Headquarters police constables through the Generative AI system were distributed to them. The program was attended by Additional Commissioners of Police Shri M. Srinivas, IPS, and Shri Tafseer Iqbal, IPS; Joint Commissioners of Police Shri D. Joel Davis, IPS, and Smt. Swetha, IPS; Deputy Commissioner of Police, CAR Headquarters, Shri R. Venkateshwarlu, IPS; along with DCPs of all zones and departments, other officers, and staff participated. along with other senior officers and the implementation team. #AdminPost

Revolutionising CAR Duty Allocation: Launch of Generative AI-Based System by CP Hyderabad Sri VC Sajjanar, IPS, Commissioner of Police, Hyderabad, today launched a cutting-edge Generative AI-based Duty Allocation system for the City Armed Reserve (CAR) unit. Developed in a record time of approximately two months, this initiative marks a significant milestone in transforming the Hyderabad Police through advanced technology. The system replaces the traditional manual allocation process, which was often time-consuming, error-prone, and faced allegations of bias. By transitioning to an AI-driven model, the department ensures a more motivated workforce and allows senior officers to redirect their time from administrative tasks to core policing. Key Highlights of the System: •Unbiased & Transparent: The system utilizes the "Hungarian Method" for score-based allocation, ensuring a fair and transparent process that eliminates manual interference. •Data-Driven Selection: Allocations are determined by objective parameters, including seniority, days in reserve, rewards, discipline, and health scores. •Instant Communication: Leveraging OpenAI APIs, the platform automatically generates personalized official posting letters, reducing administrative overhead to zero. •AI Chat Assistant: A built-in conversational AI interface allows staff to ask questions about allocations and rules in real-time, providing instant explainability and reducing the need for extensive training. •High Efficiency: In its initial run, the system processed 1,796 applicants to fill 208 positions across various categories like Secretariat, CM Office, Traffic and Interceptor vehicles. "Our goal is to leverage the power of AI to handle administrative complexities, allowing our police force to focus entirely on their core duty of policing," stated Sri VC Sajjanar, IPS during the launch. On this occasion, appreciation was expressed to Sri Trinath Babu and Sri Sunil Regula of Hansa Equity Partners LLP, who played a key role in this initiative. In this meeting, duty allotment orders issued to CAR Headquarters police constables through the Generative AI system were distributed to them. The program was attended by Additional Commissioners of Police Shri M. Srinivas, IPS, and Shri Tafseer Iqbal, IPS; Joint Commissioners of Police Shri D. Joel Davis, IPS, and Smt. Swetha, IPS; Deputy Commissioner of Police, CAR Headquarters, Shri R. Venkateshwarlu, IPS; along with DCPs of all zones and departments, other officers, and staff participated. along with other senior officers and the implementation team. #AdminPost

V.C. Sajjanar, IPS

18,986 Aufrufe • vor 7 Monaten