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Category: robotics/AI – Page 1,179

AI Takes Center Stage In Tech Development, But Enterprises Still Require A Digital Foundation

In large organizations, complexity can lead to less efficient processes and projects that aren’t aligned with business strategy. A modern business management tool can help enterprise architects, leaders and relevant stakeholders gain control and ensure efforts are prioritized and anchored correctly. Cutting projects that aren’t business critical or growth enablers might be the right thing to do, even if the ideas they’re based upon are great. As a result, freeing up time and saving costs can empower the organization to onboard new projects faster and leverage AI and its possibilities before its competitors do.

How can technology leaders best leverage AI to benefit their companies and their customers? Here at Ardoq, we’ve focused on a few key areas that all technology leaders could benefit from.

1. Allow for and encourage continuous innovation. This includes always evaluating the type of technology your business is based on. If your organization is already based on modern technology and has a data-driven approach, you can be more agile when it comes to adopting and leveraging AI. AI will create disruptions as well as open up new opportunities. This is an opportunity for leaders to create momentum and embrace an iterative approach that will help their people feel that they’re staying ahead of the curve.

The amazing long history (1826 — 2022) of ELECTRIC CARS!

A great video on the history of electric cars. I love the AI voice. Also notice Tesla was incorporated in July 2003 by Martin Eberhard and Marc Tarpenning as Tesla Motors. The company’s name is a tribute to inventor and electrical engineer. Elon Musk was an investor.

While electric vehicles (EV) have only recently begun to challenge the internal combustion engine (ICE) for the future of our roads, EVs have been around for over a century. The long history of EVs has been one of many twists and turns.

In this video, you can get a clear idea about the birth, the downfall, rebirth and the rise of electric cars around the world.

Due to this rise of electric mobility, many vehicle manufacturers have stated their intentions to stop IC Engine car sales in certain locations and go electric. For example, GM plans to stop making gasoline passenger cars, vans, and SUVs by 2035. Cadillac, Honda, Jaguar Land Rover, Mercedes, Mini, Volvo, and Volkswagen have all made similar commitments.
Whilst we may not know exactly what the future holds, together these factors point to a bright future for electric mobility.

To instantly view good quality videos related to sustainable living, nature, energy and climate change, subscribe to Eco snooki now.

Continue reading “The amazing long history (1826 — 2022) of ELECTRIC CARS!” | >

How To Integrate Data-Driven Solutions For Business Excellence In Pharma

In short, data-driven solutions themselves are only part of the overall approach. It is the effective integration of this fast-evolving technology into existing workflows and processes that leads to successful business outcomes.

The first step to integrating AI is identifying places and processes where it can help increase efficiency or accuracy. Businesses should step back and identify their pain points, creating a list of processes that are slow, tedious, cumbersome or suffering from a lack of staff. They should also analyze where additional data or information could help make better decisions.

In the pharma industry, data-driven AI solutions have been widely adopted in sales and marketing processes. For example, by analyzing patient and physician data, electronic medical records and demographic information, AI algorithms can identify trends, patterns and insights that help sales representatives tailor their messaging and presentations to specific HCPs.

Meta releases ‘human-like’ AI image creation model

NEW YORK, June 13 (Reuters) — Meta Platforms (META.O) said on Tuesday that it would provide researchers with access to components of a new “human-like” artificial intelligence model that it said can analyze and complete unfinished images more accurately than existing models.

The model, I-JEPA, uses background knowledge about the world to fill in missing pieces of images, rather than looking only at nearby pixels like other generative AI models, the company said.

That approach incorporates the kind of human-like reasoning advocated by Meta’s top AI scientist Yann LeCun and helps the technology to avoid errors that are common to AI-generated images, like hands with extra fingers, it said.

Google Shopping introduces new AI modeling feature

Starting today, users in the US can see how women’s tops from H&M, Anthropologie, Everlane, and Loft will look on a wide range of real human models. New filters aim to make finding clothes easier.

Google is introducing two new features for its online shopping experience that are designed to help users search for clothes in more detail and better visualize how clothing will look on different body types.

Starting today, Google Shopping users in the US can access a virtual try-on experience that realistically displays how an item of clothing will look on a selection of real human models. These models are available with various skin tones, ethnicities, hair types, and body shapes, ranging in size… More.

Users can now view how clothing looks on a range of diverse models.

OpenAI’s Sam Altman Makes Global Call For AI Regulation—And Includes China

OpenAI CEO Sam Altman over the weekend called for enhanced collaboration between the U.S. and China on artificial intelligence development. Without mentioning the fact that his company’s products like ChatGPT are not available in China, he argued that China should be a major player in ensuring the safety of global AI development and rollout.

“With the emergence of the increasingly powerful AI systems, the stakes for global cooperation have never been higher,” he said in the keynote address for a conference hosted by the Beijing Academy of Artificial Intelligence, sounding more like someone leading an advocacy group on responsible tech than what he is: the CEO of a company responsible for shepherding that emergence.

Altman’s call for U.S.-China collaboration on “mitigating risk” is only the latest (and, given the state of U.S.-China technological competition, possibly the most hazardous) incident in his quest to convince the world to regulate his industry. Unlike other tech leaders, he has been eager to meet with policymakers around the world, not just in the United States but also in South America, Africa, Europe and Asia, in an effort to encourage and influence the development of AI regulations. Presumably, he is advocating for rules that would benefit OpenAI’s business interests.

Ethical implications of ChatGPT: Misinformation, manipulation and biases

“Even though recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one—not even their creators—can understand, predict, or reliably control,” stated the letter.

The idea is that AI development should be “planned for and managed with commensurate care and resources.” However, the authors of the letter say that this level of planning is not happening. This leads to AI systems that are out of control.

Transparently communicating the limitations of the model and providing clear disclaimers when interacting with users can foster trust and accountability.

Qualcomm launches video collaboration platform suite to enable digital transformation of homes and enterprise

Qualcomm Technologies, Inc. unveiled the Qualcomm Video Collaboration Platform, a new suite of video collaboration solutions that allows original equipment manufacturers (OEMs) to easily design and deploy video conferencing products featuring superior video, audio and customizable on-device AI to power engaging, immersive virtual meeting experiences across enterprise, healthcare, educational, and home environments. The Qualcomm® Video Collaboration Platform is a one-stop solution that provides essential hardware and software features specifically tailored for video conferencing so that customers can quickly design and deploy a wide variety of video conferencing products, from enterprise video collaboration systems and huddle room systems to digital whiteboards, to touch controllers and personal devices for the home.

With support for Android and Linux, the three AI-rich platforms offer greater flexibility and ability to customize and deploy video conferencing products across diverse environments. Qualcomm Technologies’ industry-leading innovations in connectivity, compute, AI, audio, and video work together to deliver features that eliminate distractions, enhance productivity, and allow remote meeting callers to feel more connected to conference room participants by providing individual views of everybody in the room, creating an equal viewing experience for all participants.

With the rapid advances in generative AI, future meeting experiences will offer even more advanced video, speech, and text capabilities. Collaboration devices with dedicated hardware support for on-chip AI acceleration will be able to optimize these experiences by splitting workloads between the cloud and edge-based device.

Walmart, LinkedIn, Meta test internal generative AI options for employees

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Walmart, Meta and LinkedIn are three companies currently testing internal generative AI options for employees that are safe for the use of company data, either in the form of generative AI “playgrounds” that offer a variety of models to choose from, or in the case of Meta, its own in-house internal chatbot.

These examples stand in contrast to companies that have banned the use of public generative AI tools like ChatGPT, including Goldman Sachs, Amazon and Verizon.

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