Latest news with #machinelearning
Yahoo
12 hours ago
- Business
- Yahoo
Why D-Wave Stock Jumped Today
Key Points D-Wave's shares surged on artificial intelligence (AI) integration news, but fundamentals haven't caught up. Investors should be wary of quantum hype outpacing reality. 10 stocks we like better than D-Wave Quantum › Shares of D-Wave Quantum (NYSE: QBTS) spiked on Tuesday, finishing the day up 6.8%, but had jumped as much as 11.6% earlier in the day. The rise came as the S&P 500 (SNPINDEX: ^GSPC) and Nasdaq Composite (NASDAQINDEX: ^IXIC) lost 0.5% and 0.7%, respectively. D-Wave, a company developing quantum computing technology, announced the launch of a suite of new artificial intelligence (AI)-focused development tools. D-Wave says it's bringing quantum and AI together The company announced yesterday that it was releasing "a collection of offerings to help developers explore and advance quantum artificial intelligence (AI) and machine learning (ML) innovation." Included in the release is an open source toolkit and a demo that enable "developers to seamlessly integrate quantum computers into modern ML architectures." The company is clearly hoping to tap into the incredible growth of ML and AI, positioning its quantum technology as a powerful tool to maximize AI's potential. Quantum investors are getting ahead of themselves The company's current market capitalization of more than $5.7 billion stands in stark contrast to its 2024 revenue of less than $9 million. Despite the hype around quantum computing, I think there is plenty of reason to believe this technology is a very long way from maturing and being capable of driving revenue of any significance. D-Wave delivers its computing services to customers using a mix of quantum and classical computing, but is conveniently light on the details of how much it relies on each. If you're an investor with a particularly high risk tolerance and the ability to possibly wait a decade for your investment to pay off, you could consider investing now. I'll personally wait until valuations come back to Earth. If you do, however, I would strongly suggest spreading your investment around many quantum stocks; there's no way to tell at this point which company's approach will work in the long run. Should you invest $1,000 in D-Wave Quantum right now? Before you buy stock in D-Wave Quantum, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and D-Wave Quantum wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $631,505!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,103,313!* Now, it's worth noting Stock Advisor's total average return is 1,039% — a market-crushing outperformance compared to 181% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 4, 2025 Johnny Rice has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy. Why D-Wave Stock Jumped Today was originally published by The Motley Fool Sign in to access your portfolio
The Australian
14 hours ago
- Business
- The Australian
Stock Insiders Podcast: X2M Connect
Stock Insiders is a podcast series focussed on investing, hosted by renowned healthcare and biotech journalist Tim Boreham. Investment exposure to AI and machine learning can often be a top-heavy proposition, leaving the smaller-capped companies somewhat overlooked, so in this episode Tim chats to X2M Connect (ASX:X2M) CEO Mohan Jesudason about how his company is playing into the next wave of improvements. While X2M isn't directly an AI company, it is certainly part of its value chain in the next wave of data collection and IoT infrastructure, so Tim and Mohan dive into how the company is building in tune with the most advanced global cities and the value which is going to go to companies which can effectively manage the flow of data. To hear Tim and Mohan discuss all this and more, tune in below! This podcast was developed in collaboration with X2M Connect, a Stockhead advertiser at the time of publishing. The interviews and discussions in this podcast are opinions only and not financial or investment advice. Listeners should obtain independent advice based on their own circumstances before making any financial decisions.
Reuters
16 hours ago
- Business
- Reuters
Big law firms are at sharp end of AI boom: podcast
Follow on Apple or Spotify. Listen on the Reuters app. Machine learning is already saving office workers from laborious research, but it also could herald the end of professional services' fee structure. In this Viewsroom podcast, Breakingviews columnists debate how lawyers, auditors and other consultants can mitigate the risk. Follow Aimee Donnellan on LinkedIn. Follow Jonathan Guilford on X and Linkedin. (The hosts are Reuters Breakingviews columnists. The opinions expressed are their own.) Further Reading AI dooms the billable hour – and Big Law earnings Netscape IPO casts a shadow from 1995 over AI boom AI boom is infrastructure masquerading as software Visit the Thomson Reuters Privacy Statement for information on our privacy and data protection practices. You may also visit to opt-out of targeted advertising.
Arabian Business
a day ago
- Business
- Arabian Business
AI's human touch: How consumer technology is quietly revolutionising accessibility, user experience
Artificial intelligence (AI) has been rapidly transforming consumer technology in recent years. While chatbots and image generators capture headlines, the most commercially successful AI applications are the invisible technologies that offer functionality such as enhancing smartphone cameras, predicting streaming preferences, and solving accessibility challenges affecting billions of users worldwide. The global artificial intelligence market is projected to reach $3,680.47 billion by 2034, growing at 19.20 per cent annually from its current $638.23 billion valuation, according to Precedence Research. Consumer AI reached 1.7–1.8 billion users in just 2.5 years, though only around 3 per cent are paying users, highlighting both rapid adoption and monetisation challenges facing the industry. The business case for invisible AI Audio technology company Sonos exemplifies this trend with its AI Speech Enhancement feature, developed to address widespread dialogue comprehension issues in television content. The solution uses machine learning to isolate and enhance speech in real time without compromising overall audio quality. 'Dialogue has gotten more difficult to decipher for a variety of reasons, from production errors to rushed mixes. It's even worse for viewers with hearing loss,' said Karim Zaki, whose team developed the technology. 'Traditional enhancement tools offered some help, but they often fell short for real-life needs.' The addressable market is substantial. The hearing aids market is expected to grow from $8.74 billion in 2024 to $10.98 billion by 2034, while the global assistive technology market reached $26.8 billion in 2024 and is expected to reach $41.0 billion by 2033. More significantly, over 1.5 billion individuals globally are affected by hearing loss, representing 20 per cent of the world's population, according to WHO data. In the US, approximately 48 million Americans report hearing loss, with one in three individuals over 65 experiencing hearing impairment. The challenge lies in monetising invisible improvements. While consumers readily pay premiums for visible features like better cameras or larger screens, they often undervalue background enhancements they cannot easily demonstrate. AI-enabled devices are expected to account for 20 per cent of the accessibility technology market by 2024, indicating artificial intelligence is becoming standard rather than premium functionality. Sonos addresses monetisation indirectly by using AI features to drive customer retention and product differentiation. The company offers four levels of speech enhancement, maintaining user control while providing intelligent automation. 'Control is key,' Zaki explained. 'We built AISE to be smart and supportive. That's why we offer four levels of enhancement. The user decides how much or how little they want to adjust the dialogue. AI should empower people, not override them.' Technical implementation and scalability Real-time AI processing in consumer devices presents significant engineering challenges. Unlike cloud-based services, consumer hardware must execute complex algorithms with limited computational resources while maintaining battery life and responsive performance. Sonos's solution processes audio streams with millisecond precision, separating dialogue from background elements without introducing delay or distortion. 'Think of watching a movie with background music and sound effects layered in,' Zaki said. 'Sonos's new AI Speech Enhancement acts like a smart filter, identifying the human voice in the centre channel and gently raising it when needed.' The development process involved collaboration with RNID (Royal National Institute for Deaf People) and end users, ensuring technological solutions addressed genuine needs rather than perceived problems. The accessibility-first approach demonstrates broader commercial potential. Features designed for specific user needs often benefit much wider audiences, a phenomenon known as the 'curb-cut effect' in accessibility circles. 'For some, AI Speech Enhancement means being able to enjoy a film without turning on subtitles. For others, it makes watching TV possible again,' Zaki noted. 'That's the power of smart design—it can meet a broad range of needs, often at the same time.' This multi-market applicability is driving investment across consumer technology sectors. Companies are discovering that AI applications solving fundamental human problems create more sustainable competitive advantages than technology demonstrations. The trajectory suggests AI success will be measured by seamlessness rather than sophistication. 'AI is making personal technology feel more human,' Zaki said. 'It's helping devices understand context, learn preferences, and respond in real time. But the real shift is in how we design with AI. At Sonos, we use it to support and elevate the human experience, not replace it.' Advances in machine learning efficiency and specialised AI hardware are enabling more sophisticated on-device processing, potentially leading to systems that adapt to individual user profiles, environmental conditions, and content preferences. The companies positioned for long-term success appear to be those starting with human problems rather than technical capabilities, developing solutions that enhance rather than replace human agency, and maintaining inclusive design throughout development processes. For Middle Eastern markets, the accessibility technology sector presents particular opportunities given demographic trends and increasing digital adoption rates. Government initiatives supporting inclusive technology development align with commercial opportunities in AI-enhanced consumer devices. The hearing assistance market's growth trajectory, combined with AI integration becoming standard functionality, suggests significant revenue potential for companies developing localised solutions addressing regional needs and preferences. The real AI revolution in consumer technology is manifesting through subtle improvements to everyday experiences rather than obvious technological demonstrations. Success requires prioritising user needs over engineering capabilities, maintaining human agency while providing intelligent automation, and developing inclusive solutions that serve diverse populations. 'AI Speech Enhancement is not just about better sound. It's about helping people feel more included and more connected,' Zaki concluded. 'We are proud of the collaboration behind this work and excited about where it can lead. The more we listen and learn, the more we can design for everyone.'
Associated Press
a day ago
- Business
- Associated Press
Myrtle.ai Enables Microsecond ML Inference Latencies running VOLLO on Napatech SmartNICs
CAMBRIDGE, England, Aug. 6, 2025 /PRNewswire/ -- a recognized leader in accelerating machine learning inference, today released support for its VOLLO® inference accelerator on the NT400D1x series of SmartNICs from Napatech. VOLLO achieves industry-leading ML inference compute latencies, which can be less than one microsecond. This new release enables those who need the very lowest latencies possible to run inference next to the network in a SmartNIC. A wide range of models may be run on VOLLO, including LSTM, CNN, MLP, as well as Random Forests and Gradient Boosting decision trees. This has been developed to meet the needs of a wide range of applications including financial trading, wireless telecommunications, cyber security, network management and others, where running ML inference at the lowest possible latency confers advantages in security, safety, profit, efficiency and cost. 'We're excited to be working with the world leader in SmartNIC sales to enable unprecedented low latencies for ML inference.' said Peter Baldwin, CEO of 'Our customers are aggressively seeking ever lower latencies and this new release will enable them to leverage the full benefit of VOLLO's latency leadership.' Jarrod J.S. Siket, Chief Product & Marketing Officer at Napatech was excited about the prospects. 'We recognized that the latency leader in the STAC® ML benchmarks could bring real value to our customers in the finance market as they increase their adoption of ML for auto trading.' he said. 'The VOLLO compiler is designed to make it very easy for ML developers to use our SmartNICs and this really strengthens our portfolio of products and services.' Interested parties may now download the ML-oriented VOLLO compiler from today and discover what latencies can be achieved with their models on the NT400D1x series of SmartNICs from Napatech. About is an AI/ML software company that delivers world class inference accelerators on FPGA-based platforms from all the leading FPGA suppliers. With neural network expertise across the complete spectrum of ML networks, Myrtle has delivered accelerators for FinTech, Speech Processing, and Recommendation. 'STAC' and all STAC names are trademarks or registered trademarks of the Securities Technology Analysis Center, LLC. Photo: Logo: View original content to download multimedia: SOURCE
