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Yahoo
9 minutes ago
- Yahoo
Applied Intuition introduces advanced ADAS for passenger vehicles
Vehicle software supplier Applied Intuition has introduced 'Self-Driving System (SDS) for Automotive', which it says enables automakers to drive innovation and build intelligent vehicles with human-like driving capabilities. SDS for Automotive is described as a comprehensive end-to-end white box autonomy stack solution specifically designed for passenger vehicles. Switch Auto Insurance and Save Today! Affordable Auto Insurance, Customized for You The Insurance Savings You Expect Great Rates and Award-Winning Service The solution is tailored to meet the needs of automotive original equipment manufacturers (OEMs) and provides an advanced driver-assistance system (ADAS) that is both high-performing and cost-effective. This system is engineered to support L2++ driver assistance features, with the potential to progress to L3 and L4 autonomous capabilities. SDS for Automotive allows OEMs to implement scalable autonomous technology that aligns with the increasing requirements of regulators, consumer expectations, and the competitive global market. The system's end-to-end architecture amalgamates planning, perception, and control into a cohesive unit, which is designed to mimic human-like driving performance. The company emphasises that, in contrast to black box systems that restrict transparency and customisation, SDS for Automotive offers OEMs the advantage of full visibility and control over their autonomy stack. This allows them to craft customised autonomous experiences that are consistent with their brand identity across their vehicle lineup. The system's hardware- and sensor-agnostic framework allows for compatibility with a diverse range of computing platforms, sensors, and electronic control units (ECUs) to suit various OEM requirements. The key features of SDS for Automotive include an end-to-end development and validation toolchain that supports continuous feature updates after production. Additionally, the system is designed for real-world affordability by utilising mass-market sensors and computing solutions and is built for seamless integration into vehicle systems. Applied Intuition CEO and co-founder Qasar Younis said: 'Our vision is to enable every automaker to build vehicles that are not only safer and more capable, but are also continuously improving as the industry enters a new era in which vehicle intelligence will define the winners. 'This is about accelerating the global shift to intelligent mobility. SDS for Automotive puts the full autonomy stack in the hands of OEMs, giving them the visibility, flexibility and control they need to differentiate.' In the previous year, Applied Intuition entered into a strategic partnership with Isuzu Motors to expedite the development and deployment of autonomous trucking solutions for Isuzu Motors Ltd. "Applied Intuition introduces advanced ADAS for passenger vehicles" was originally created and published by Just Auto, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Gizmodo
10 minutes ago
- Gizmodo
AI Assistants Are Just Alexa All Over Again
Hundreds of billions of dollars have been poured into the development of artificial intelligence models and the infrastructure needed to support them, all with the promise that AI will eventually take over everything. But in the average person's day-to-day life, AI has yet to serve as much more than a slightly smarter Siri. According to new data collected by polling firm YouGov, even though companies have made a big to-do about infusing smart assistants with AI brains, people have barely changed how they interact with the tools. YouGov asked people how they interact with their smart assistants like Amazon's Alexa (upgraded to the AI-powered Alexa+ earlier this year), Google's Assistant (recently turned into a more conversational assistant with the help of Google's Gemini AI), and Apple's Siri (still dumb, but they're working on it) now that they've gotten their AI upgrade. The answer: they give the assistants the most basic of tasks and not much else. According to the survey, 59% of people use their smart assistant to check the weather, 51% use it to play music, 47% ask it to look up answers to questions, and 40% use it to set alarms and timers. Notably, these are all things that these devices could functionally do more than a decade ago when they first started making their way onto our phones and into our homes via smart speakers. As for the more advanced features that companies would absolutely love for users to adopt, the real-world interest still isn't there. Just 19% of people use their AI assistant to control internet-connected devices in their home (RIP to the Internet of Things). Less than one in 10 people interact with third-party actions like Alexa Skills, which was supposed to be like an app store for smart speakers, but never caught on. Much to the dismay of the corporate overlords who provide these assistants, only 14% of people do any shopping through their AI helper. AI assistant-supported shopping has been projected to be a $30 billion industry in the next decade. It's off to a rough start, reasonably enough! So the question for the tech companies that insist AI companions are still the way, there's a big, looming question: Why don't these things stick? The biggest hurdle is one that you'd think smarter features may address, but simply hasn't put a dent in: 42% of people simply don't see the need to use a smart assistant. Among those who do use them, though, there's still an issue of a communication barrier between human and machine. More than one in four said their biggest challenge in using a smart assistant is the AI not understanding their request. Another 12% said the assistants have accuracy issues, and 10% said the tools just are 'not as smart as I expected.' To that end, the most desired feature of smart assistants is not the ability to hold a conversation or complete multi-step tasks; it's to better understand speech. Seems like a simple ask, but much like the smart assistants they make, it also seems like one that tech companies just can't understand.
CNET
10 minutes ago
- CNET
Rick Osterloh Talks Gemini and Google's AI Future at the Made by Google Event
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