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Alphabet’s Intrinsic Robotics Unit Reveals Internally Developed AI Models



Today marks the debut of a set of artificial intelligence models developed by engineers at Alphabet Inc.’s Intrinsic unit, which creates technology that makes programming industrial robots easier.

The Automate 2024 robotics event, held this week in Chicago, featured a presentation by executives describing the AI models. Nvidia Corp. and Google DeepMind, the search engine giant’s AI research division, collaborated to develop some of the neural networks, while others were developed independently.

It used to require a lot of custom code to teach industrial robots how to perform tasks like packing goods into boxes. Sometimes the programming required is so complex that it gets in the way of manufacturers’ attempts to automate their factories. In 2021, Alphabet established Intrinsic with the goal of creating software that would simplify the process of programming robots and increase accessibility to the technology.

A robotic arm must first identify the presence of an object and then carry out “3D pose estimation” before it can pick it up. Finding an object’s location and facing direction is the task at hand. With this information, the robotic arm can determine the best angle to pick up the object from in order to reduce the possibility of falls, collisions with other objects, and other related problems.

An object can be identified and its pose estimated in a matter of seconds by the first AI model that Intrinsic described today. The model was pre-trained by Alphabet’s engineers to interact with over 130,000 different types of objects, the company said. Furthermore, the AI is able to adjust to changes in its working environment, like when lightning patterns shift or the camera that a robotic arm tracks objects with is replaced.

Intrinsic CEO Wendy Tan White explained in a blog post that “the model is fast, generalized, and accurate.” “We are working to make this and similar features easier to develop, deploy, and use by adding them to the Intrinsic platform as new capabilities.”

Today at Automate 2024, the Alphabet division presented two AI projects that were conducted in conjunction with Google DeepMind. The goal of both was to maximize the motion of industrial robots.

As per Intrinsic, the initial endeavor yielded an artificial intelligence instrument capable of simplifying “motion planning.” That involves figuring out the best possible series of movements a robot should make in order to finish a task. The artificial intelligence tool is designed for scenarios in which several autonomous machines must operate in tandem and avoid colliding with one another.

The software receives input in the form of measurements, motion patterns, and tasks assigned to the robot. Then, in order to minimize the need for manual coding, it automatically creates motion plans. The AI tool was able to achieve a 25% improvement over traditional motion planning methods in a simulation involving four robots working together on a virtual welding project.

Optimizing scenarios where two robotic hands collaborate on the same task was the focus of Intrinsic’s other joint project with Google DeepMind. The latter group’s researchers used Intrinsic’s technical resources to create AI software that was optimized for these kinds of use cases. Tan White wrote, “One of Google DeepMind’s methods of training a model—based on human input using remote devices—benefits from Intrinsic’s management of high-frequency real-time controls infrastructure, sensor data, and real-world data enablement.”

At the event, Intrinsic also disclosed a partnership with Nvidia centered on robot grasping accuracy. Previously, the software code that dictates a robotic arm’s method of object pickup required customization for every kind of object the arm came into contact with. That required a substantial amount of labor-intensive manual labor.

Using Nvidia’s robot simulation platform, Isaac Sim, Intrinsic built an AI system capable of automating the procedure. It can produce the code needed for a robot to pick up an object without the need for human input. Additionally, the AI is able to modify this code to account for the reality that various robotic arms frequently pick up objects with various kinds of gripping devices.


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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