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Google Introduces AI Model for Precise Weather Forecasting



With the confirmation of the release of an AI-based weather forecasting model that can anticipate subtle changes in the weather, Google (NASDAQ: GOOGL) is taking a bigger step into the field of artificial intelligence (AI).

Known as the Scalable Ensemble Envelope Diffusion Sampler (SEEDS), Google’s artificial intelligence (AI) model is remarkably similar to other diffusion models and popular large language models (LLMs).

In a paper published in Science Advances, it is stated that SEEDS is capable of producing ensembles of weather forecasts at a scale that surpasses that of conventional forecasting systems. The artificial intelligence system uses probabilistic diffusion models, which are similar to image and video generators like Midjourney and Stable Diffusion.

The announcement said, “We present SEEDS, [a] new AI technology to accelerate and improve weather forecasts using diffusion models.” “Using SEEDS, the computational cost of creating ensemble forecasts and improving the characterization of uncommon or extreme weather events can be significantly reduced.”

Google’s cutting-edge denoising diffusion probabilistic models, which enable it to produce accurate weather forecasts, set SEEDS apart. According to the research paper, SEEDS can generate a large pool of predictions with just one forecast from a reliable numerical weather prediction system.

When compared to weather prediction systems based on physics, SEEDS predictions show better results based on metrics such as root-mean-square error (RMSE), rank histogram, and continuous ranked probability score (CRPS).

In addition to producing better results, the report characterizes the computational cost of the model as “negligible,” meaning it cannot be compared to traditional models. According to Google Research, SEEDS offers the benefits of scalability while covering extreme events like heat waves better than its competitors.

The report stated, “Specifically, by providing samples of weather states exceeding a given threshold for any user-defined diagnostic, our highly scalable generative approach enables the creation of very large ensembles that can characterize very rare events.”

Using Technology to Protect the Environment

Many environmentalists have turned to artificial intelligence (AI) since it became widely available to further their efforts to save the environment. AI models are being used by researchers at Johns Hopkins and the National Oceanic and Atmospheric Administration (NOAA) to forecast weather patterns in an effort to mitigate the effects of pollution.

With its meteorological department eager to use cutting-edge technologies to forecast weather events like flash floods and droughts, India is likewise traveling down the same route. Equipped with cutting-edge advancements, Australia-based nonprofit ClimateForce, in collaboration with NTT Group, says it will employ artificial intelligence (AI) to protect the Daintree rainforest’s ecological equilibrium.


Coforge and Microsoft Establish Copilot Innovation Hub to hasten the Deployment of Generative AI



Global supplier of digital services and solutions Coforge Limited recently announced a partnership with Microsoft to launch the Coforge Copilot Innovation Hub. In addition to working closely with Microsoft to integrate these solutions with Microsoft’s generative AI products and technologies, such as Microsoft Azure OpenAI Service, Microsoft Power Platform, and Microsoft Copilot, the Hub will concentrate on building a pipeline of new, industry-specific cognitive analytics solutions.

Coforge announced the launch of two new copilots as part of the Copilot Innovation Hub: Underwriter Copilot for insurance companies and Advisor Copilot for financial services firms. An innovative technique to improve ROI and streamline the process of navigating the complexity of underwriting, the Underwriter Copilot for Insurance gives insurance underwriters more authority and the ability to make informed decisions. The goal of the solution is to increase carriers’ combined ratios by two to three percent in order to open up new income streams. Insurance carriers can achieve a 30- to 35 percent boost in underwriter productivity and efficiency by implementing Underwriter Copilot.

By removing the need for time-consuming searches across several tools, documents, and data sources, the Coforge Advisor Copilot solution gives financial quick access to full fund information and performance data through an intuitive interface. Financial advisers and asset managers should become more productive by more than thirty percent thanks to the solution.

According to Sudhir Singh, Executive Director & CEO of Coforge, “Coforge is leveraging its deep industry strengths and customer partnerships to build industry specific generative AI solutions on the Microsoft platform to drive transformation and enhance productivity.” Our efforts to provide our clients with generative AI solutions that lead the market will go even faster thanks to our partnership with Microsoft. He went on, “We are announcing two new copilots today: Advisor Copilot for financial services businesses and Underwriter Copilot for insurance carriers.

“Our combined commitment to transforming and scaling organizational capabilities of financial services firms globally is demonstrated by the Coforge Copilot Innovation Hub. The 2024 Work Trend Index Annual Report states that 75% of individuals utilize AI at work, and that the use of generative AI has nearly doubled in the last six months. According to David Smith, Vice President, WW Channel Sales, Microsoft, “Coforge and Microsoft are dedicated to spearheading AI adoption, fostering innovation, and unleashing business value for businesses worldwide.”

Through the automation of manual chores, the improvement of decision-making through the creation of suggestions based on corporate data, and the streamlining and optimization of business processes, these copilots will increase operational efficiency by utilizing Microsoft’s generative AI products and technologies. These solutions will help businesses generate new value streams and speed up change.

Microsoft’s generative AI products will be easier to implement with the Coforge Copilot Innovation Hub, leading to increased productivity and better business results.

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Samsung Appoints New Leader for Chip Unit as AI Competition Intensifies



As the race to build artificial intelligence processors heats up, Samsung Electronics has replaced the leader of its semiconductor division.

In an unexpected announcement made by the business on Tuesday, Vice Chairman Jun Young-hyun has been named head of Samsung’s device solutions division. The company’s foundry, memory, and system semiconductor divisions are managed under the device solutions division.

“Vice Chairman Jun Young-hyun is the key player who took Samsung Electronics’ memory semiconductor and battery businesses to the global top-tier level,” the company stated in a news release.

Samsung is making this announcement as it battles to overtake its regional rival SK Hynix in the market for AI memory chips. When it comes to high-bandwidth memory (HBM) chips, which are essential for AI computing, SK Hynix is in the lead.

According to Samsung, if the board and shareholders approve, Jun may also be named as the company’s chief executive. Samsung has two chief executive officers: one leads the company’s semiconductor division, while the other oversees its mobile and visual display businesses.

Before taking on the role of chief executive of Samsung SDI, the company’s battery division, Jun led Samsung’s memory chip business team for three years, from 2014 to 2017. In 2000, he made his debut as a member of Samsung’s memory chip business team.

Kyung Kye-hyun, who oversaw the semiconductor branch since2022, is replaced by Jun. During the memory chip market collapse, the division under his direction reported billion-dollar losses. The 61-year-old Kyung has been posting lengthy and in-depth posts on social media platforms like LinkedIn and Instagram about subjects including technology and climate change.

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Kudos Secures $10.2 Million for Its AI-Powered Smart Wallet



The Four Cities Fund, Samsung Next, SV Angel, Precursor Ventures, The Mini Fund, Newtype Ventures, Patron, and The Points Guy creator Brian Kelly all participated in the funding round.

Kudos, an app and browser extension, was founded in 2001 by a group with prior expertise at Google, PayPal, and Affirm. It functions as a smart wallet assistant by suggesting or choosing the best credit card for customers to use when making payments in order to optimize rewards and cash back.

Recently, the company introduced a number of new features: Dream Wallet, which suggests cards to members based on their spending patterns; MariaGPT, an AI-powered card discovery tool with over 3000 cards in its database; and Kudos Boost, which offers personalized rewards across over 15,000 partner brands, such as Walmart and Sephora.

Since its initial fundraising round, Kudos has raised its annualized checkout Gross Merchandise Value to $200 million and expanded to over 200,000 registered users.

It intends to use the additional funds to develop MariaGPT into a comprehensive personal finance assistant, introduce an AI-powered hub offering expenditure optimization insights, and create a gateway that lets users book flights using points.

As consumers budgets, various credit cards, and sometimes complex rewards programs, they want to know they’re receiving the best value for their money, according to Tikue Anazodo, CEO of Kudos. With just one user-friendly app and extension, Kudos streamlines everything.”

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