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Alphabet’s Intrinsic Robotics Unit Reveals Internally Developed AI Models

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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.

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Techno and IBM Watsonx is a New Era of Reliable AI Announced by Mahindra

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Together with IBM, Tech Mahindra, a global leader in digital solutions and technology consulting, is assisting organizations in accelerating the adoption of generative AI in a sustainable manner around the globe.

This partnership combines IBM’s Watsonx AI and data platform with AI Assistants with Tech Mahindra’s array of AI products, TechM amplifAI0->∞.

Customers may now access a range of new generative AI services, frameworks, and solution architectures by combining Tech Mahindra’s AI engineering and consulting talents with IBM Watsonx’s capabilities. This makes it possible to create AI programs that let businesses automate operations using their reliable data. Additionally, it gives companies a foundation on which to build reliable AI models, encourages explainability to help control bias and risk, and permits scalable AI deployment in on-premises and hybrid cloud settings.

Chief digital services officer of Tech Mahindra Kunal Purohit says that in order to revitalize businesses, organizations should prioritize responsible AI practices and the integration of generative AI technology.

“Our partnership with IBM can facilitate digital transformation for businesses, the uptake of GenAI, modernization, and ultimately business expansion for our international clientele,” Purohit continued.

Tech Mahindra has created an operational virtual Watsonx Center of Excellence (CoE) to better improve business skills in AI. Using their combined competencies to produce unique offers and solutions, this CoE serves as a co-innovation center, with a dedicated team tasked with optimizing synergies between the two organizations.

The collaborative offerings and solutions developed through this partnership could help enterprises achieve their goals of constructing machine learning models using open-source frameworks while also enabling them to scale and accelerate the impact of generative AI. These AI-driven solutions have the potential to aid organisations enhance efficiency and productivity responsibly.

IBM Ecosystem General Manager Kate Woolley emphasized the potential of the partnership and added that, when generative AI is developed on a basis of explainability, openness, and trust, it may act as a catalyst for innovation and open up new market opportunities.

“Our partnership with Tech Mahindra is anticipated to broaden Watsonx’s user base and enable even more clients to develop reliable AI as we strive to integrate our know-how and technology to support enterprise use cases like digital labor, code modernization, and customer support,” stated Woolley.

This partnership is in line with Tech Mahindra’s ongoing efforts to revolutionize businesses through cutting-edge AI-led products and services. Some of their most recent offerings include Evangelize Pair Programming, Imaging amplifAIer, Operations amplifAIer, Email amplifAIer, Enterprise Knowledge Search, and Generative AI Studio.

The two businesses had previously worked together, which is noteworthy. On the company’s Singapore site, Tech Mahindra had announced earlier this year that it would be opening a Synergy Lounge in partnership with IBM. For APAC organizations, this lounge aims to expedite the adoption of digital. Technology like as artificial intelligence (AI), intelligent automation, edge computing, 5G, hybrid cloud, and cybersecurity can all be effectively implemented and utilized with its assistance.

In addition to Tech Mahindra, IBM Watsonx has been applied in other partnerships to expedite the application of generative artificial intelligence. Early in the year, the GSMA and IBM also announced a new cooperation to develop the GSMA Foundry Generative AI program and GSMA Advance’s AI Training program, respectively, to boost the use and capabilities of generative AI in the telecom industry.

The program is also available digitally, and it covers the technical underpinnings of generative AI in addition to its business strategy. For architects and developers looking for in-depth, useful expertise on generative AI, this program employs IBM Watsonx to deliver hands-on training.

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OpenAI Enhances ChatGPT with Google Drive Integration, Streamlined File Access, and Advanced Analytics

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A major update to ChatGPT was released by OpenAI, enabling users to analyze data straight from OneDrive and Google Drive without having to download and upload. Over the following few weeks, this new feature—which is only available to ChatGPT subscribers who have paid—will be gradually added to the service with the goal of streamlining data analysis and saving customers time and trouble.

According to a blog post by OpenAI, “ChatGPT is now more connected to your data than ever before.” “With the integration of Google Drive and OneDrive, you can directly access and analyse your files – from Excel spreadsheets to PowerPoint presentations – within the chatbot.”

According to OpenAI, ChatGPT can analyze files “more quickly” because to this direct access, which is available to ChatGPT Plus, Enterprise, and Teams users. However, GPT-4o, the improved version of GPT-4 that powers ChatGPT’s premium tiers, is presently the only way to access the additional data analytics tools.

OpenAI has enhanced ChatGPT’s comprehension and manipulation of data, going beyond simple file access. Now, a variety of data-related operations may be carried out by users using natural language commands, such as:

  • Executing analytics-related Python code
  • Combining and streamlining datasets
  • Producing graphs with data from files

Additionally, ChatGPT’s charting capabilities have improved significantly. Now, users may expand their views, engage with the created tables and charts, and personalize the visualisations by altering the colors, posing queries about particular cells, and more. With the exception of several chart types, the chatbot can now create static versions of interactive bar, line, pie, and scatter plot charts.

Additionally, OpenAI emphasized the security of user data. Users of ChatGPT Teams and Enterprise will not have their data used to train AI models, and ChatGPT Plus members have the option to disable this capability.

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India is the Most Adopting Country in Asia Pacific for Generative AI

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India’s use of Generative AI (GenAI) is demonstrated in a research produced by Deloitte titled Generative AI in Asia Pacific: Young Employees Lead as Employers Play Catch-Up. Out of 13 nations, India ranks first in terms of the use and adoption of GenAI, according to a poll conducted among 11,900 people in Asia Pacific. It is astounding to learn that 83% of Indian workers and 93% of students actively use this technology.

India has a good adoption rate of GenAI, which is driven by youthful, tech-savvy workers known as “Generation AI.” These young employees are increasing productivity, learning new skills, managing workloads, and saving time by utilizing GenAI. Employers are facing new opportunities and problems as a result of this shift.

The study estimates that within the following five years, everyday utilization of GenAI would rise by 182%. The belief that GenAI can increase the Asia-Pacific region’s contribution to the global economy is reflected in this growth. Eighty-three percent of Indians think it improves social results, and about seventy-five percent think it has economic benefits.

Important Discoveries:

  • Though only 50% of workers and students in Asia Pacific think their bosses are aware of their use, they are driving the GenAI revolution.
  • Seventeen percent of Asia Pacific’s working hours, or around 1.1 billion hours a year, could be impacted by GenAI.
  • More rapidly than industrialized economies, developing nations are implementing GenAI at a rate of thirty percent.
  • Around 6.3 hours are saved weekly by GenAI users in Asia Pacific, while 7.85 hours are saved by Indian users.
  • Work-life balance has been enhanced, according to 41% of time-saving GenAI users.
  • As per the staff of these businesses, seventy-five percent of them have not adopted GenAI yet.

The AI and data capability leader for Deloitte Asia Pacific, Chris Lewin, stated, “One of the most exciting things about working with GenAI is that it is happening to everything, everywhere, all at once, across the globe.” “Over the past twelve months, we have observed that teams in Italy and Ireland can very immediately relate to the issues that our clients in Indonesia or India are facing.” A crucial insight is that while the swift integration of AI won’t result in the immediate loss of jobs, companies that don’t adjust will bear the consequences. Competing companies that provide AI solutions that have the potential to completely change the nature of modern work will attract their employees, especially fresh talent.

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