Global markets mostly gain after Wall Street tumbles following poor US jobs report
France's CAC 40 added 0.8% in early trading to 7,609.44, while the German DAX rose nearly 1.0% to 23,702.42. Britain's FTSE 100 edged up 0.4% to 9,108.28. U.S. shares were set to drift higher with Dow futures up 0.6% at 43,951.00. S&P 500 futures rose 0.6% to 6,302.75.
Markets in Asia had already reacted on Friday to U.S. President Donald Trump's announcement late Thursday of sweeping tariffs on imports from many U.S. trading partners. The new import duties are set to take effect on Thursday.
The signs of trouble on the U.S. economic horizon have raised hopes that the Federal Reserve may relent and cut interest rates, analysts said.
Tokyo's Nikkei 225 index lost 1.3%, bouncing back from bigger losses earlier in the day to finish at 40,290.70.
The Hang Seng in Hong Kong jumped 0.9% to 24,733.45, while the Shanghai Composite index climbed nearly 0.7% to 3,583.31.
In South Korea, the Kospi surged 0.9% to 3,147.75.
Australia's S&P/ASX 200 was nearly unchanged at 8,663.70.
Investors' worries about a weakening U.S. economy deepened after the latest report on job growth in the U.S. showed employers added just 73,000 jobs in July. That is sharply lower than economists expected. The Labor Department also reported that revisions shaved a stunning 258,000 jobs off May and June payrolls.
'The labor market, once a pillar of resilience, is now looking more like a late-cycle casualty, as soft data begin to replace soft landings in market discourse,' Stephen Innes of SPI Asset Management said in a commentary.
Trump's decision to order the immediate firing of the head of the government agency that produces the monthly jobs figures raised concern over whether there might be interference in future data.
The surprisingly weak hiring numbers led investors to step up their expectations the Fed will cut interest rates in September.
The yield on the 10-year Treasury fell to 4.21% from 4.39% just before the hiring report was released. That's a big move for the bond market. The yield on the two-year Treasury, which more closely tracks expectations for Fed actions, plunged to 3.68% from 3.94% just prior to the report's release.
The Fed has held rates steady since December. A cut in rates would give the job market and overall economy a boost, but it could also risk fueling inflation, which is hovering stubbornly above the central bank's 2% target.
An update on Thursday for the Fed's preferred measure of inflation showed that prices ticked higher in June, rising to 2.6% from 2.4% in May.
The Fed held rates steady again at its most recent meeting this week. Fed Chair Jerome Powell has been pressured by Trump to cut the benchmark rate, though that decision isn't his to make alone, but belongs to the 12 members of the Federal Open Market Committee.
Businesses, investors and the Fed have been operating under a cloud of uncertainty from Trump's tariff policy.
Companies have been warning investors that unpredictable policies, with some tariffs already in effect while others change or get extended, make it difficult to plan ahead. Walmart, Procter & Gamble and many others also have warned about import taxes raising costs, eating into profits and raising prices for consumers.
In other dealings early Monday, U.S. benchmark crude oil shed 16 cents to $67.17 per barrel. Brent crude, the international standard, fell 24 cents to $69.43 per barrel.
The U.S. dollar rose to 148.05 Japanese yen from 147.26 yen. The euro weakened to $1.1557 from $1.1598.
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Globe and Mail
2 hours ago
- Globe and Mail
Deepfake AI Market Latest Trends, Future Outlook, Size, Share, Applications, Advance Technology And Forecast
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Generative Adversarial Networks (GANs) and diffusion models, which enable hyper-realistic deepfake generation; the growing creator economy and social media's demand for creative content, which leads to wider adoption; and the concerning increase in deepfake frauds and misinformation, which feeds the urgent need for reliable detection solutions across industries, are the main factors driving the deepfake AI market. Download PDF Brochure@ The deepfake AI market is witnessing accelerated growth due to the rising adoption of multimodal detection systems that combine audio-visual signals with metadata analysis to enhance detection precision. As synthetic media becomes more layered, with deepfakes now blending facial animations, voice mimicry, and scene manipulation, enterprises are investing in tools that analyze cross-modal inconsistencies rather than relying on isolated visual cues. These advanced solutions are being embedded across high-stakes environments such as banking authentication flows, online proctoring, and digital onboarding platforms where real-time decisioning and high accuracy are critical. Multimodal detection also supports operational scalability by reducing false positives and improving model confidence, enabling enterprises to automate content trust decisions at volume. Regulatory scrutiny is further driving adoption, especially in sectors such as finance, government, and telecommunications, where content authenticity and user verification have become compliance priorities. With AI foundation models and transformer architectures now capable of jointly processing audio, video, and contextual metadata, the deepfake detection landscape is evolving into a strategic layer of enterprise risk management. Generative adversarial networks remain the backbone technology of deepfake AI development and detection, registering the largest share by market value in 2025 Among all core technologies underpinning the deepfake AI market, Generative Adversarial Networks (GANs) represent the largest and most commercially entrenched segment. Their bidirectional framework—comprising generator and discriminator models—forms the foundational mechanism for crafting synthetic media and serves as the analytical basis for detecting forgeries with increasing accuracy. GANs have matured from research prototypes to enterprise-grade engines that power a wide spectrum of deepfake capabilities, including face swapping, expression control, voice imitation, and image realism scoring. On the detection side, their adversarial structure is being reverse-engineered to identify digital fingerprints, compression artifacts, and inconsistencies in texture, lighting, or pixel alignment. GANs are also embedded in real-time media forensics and security pipelines, especially across sectors such as law enforcement and social platforms, where they aid in decoding malicious manipulation. The widespread availability of pre-trained GAN libraries and cloud-based tools is fueling enterprise adoption and reducing time-to-deployment for deepfake-centric solutions. Their continued evolution into variants like StyleGAN and conditional GANs is enabling more granular control and detection precision, positioning them as the dominant technology category in both deepfake generation and defense. BFSI is expected to be the fastest-growing vertical during the forecast period, fueled by a spike in synthetic fraud threats and regulatory pressure By vertical, the BFSI sector is expected to register the fastest growth in the deepfake AI market during the forecast period, driven by rising concerns around digital identity fraud, social engineering attacks, and synthetic KYC submissions. 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Request Sample Pages@ Unique Features in the Deepfake AI Market Generative Adversarial Networks (GANs) remain the backbone of deepfake generation, responsible for creating highly realistic synthetic media by pitting generator and discriminator models against each other. These systems capture subtle facial expressions, voice patterns, and micro‑motions. Meanwhile, transformer-based architectures—rapidly growing in adoption—are key in boosting realism, temporal coherence, and multimodal integration in deepfake outputs Platforms like Synthesia and Colossyan offer scalable generation of AI avatars that support dozens of languages, enabling video production without cameras or actors. 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Inquire Before Buying@ Top Companies in the Deepfake AI Market The major players in the deepfake AI market include Datambit (UK), Microsoft (US), AWS (US), Google (US), Intel (US), Veritone (US), Cogito Tech (US), Primeau Forensics (US), iProov (UK), Kairos (US), ValidSoft (US), MyHeritage (Israel), HyperVerge (US), BioID (Germany), DuckDuckGoose AI (Netherlands), Pindrop (US), Truepic (US), Synthesia (UK), (US), Deepware (Turkey), iDenfy (US), Q-Integrity (Switzerland), D-ID (Israel), Resemble AI (US), Sensity AI (Netherlands), Reality Defender (US), Attestiv (US), WeVerify (Germany), (US), Kroop AI (India), Respeecher (Ukraine), DeepSwap (US), Reface (Ukraine), (UK), Oz Forensics (UAE), Perfios (US), Illuminarty (US), Deepfake Detector (UK), buster (France), AutheticID (US), Jumio (US), and Paravision (US). 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Beyond detection, Google's AI research teams at DeepMind contribute foundational research on generative adversarial networks (GANs) and countermeasures, ensuring it stays at the forefront of both generation and detection advancements. By combining its technical expertise, vast computing infrastructure, and global reach, Google is uniquely positioned to address deepfake risks across platforms and devices. This proactive, research-driven approach enhances its reputation as a trusted steward of information integrity, bolstering its competitive advantage in the rapidly evolving deepfake AI market. Datambit Datambit is a UK-based AI company recognized for its innovative contributions to multimedia forensics and synthetic media detection. In the Deepfake AI market, Datambit focuses on developing advanced detection systems that leverage computer vision and machine learning to identify manipulated video and audio content. Their solutions are increasingly adopted by media companies, legal entities, and cybersecurity firms to combat misinformation, protect brand integrity, and enhance content authenticity in a rapidly evolving digital landscape. Amazon Web Services (AWS) Amazon Web Services (AWS) plays a pivotal role in the Deepfake AI market by offering scalable cloud infrastructure and machine learning tools that enable the development and deployment of deepfake generation and detection technologies. Through services like Amazon Rekognition and SageMaker, AWS supports researchers, developers, and enterprises in creating synthetic media as well as detecting manipulated content. AWS also emphasizes ethical AI use, providing resources and policies aimed at mitigating the misuse of generative models. Intel Corporation Intel is a key player in the Deepfake AI space, driving innovation through its hardware acceleration technologies and AI research. The company collaborates with academic and industry partners to develop tools for deepfake detection, including the FakeCatcher—a real-time deepfake detection platform that identifies synthetic content by analyzing subtle biological signals in videos. Intel's commitment to responsible AI development and content authenticity positions it as a trusted leader in countering the spread of manipulated media across industries.
Globe and Mail
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Brazil requests consultations at World Trade Organization over Trump's tariffs
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Globe and Mail
2 hours ago
- Globe and Mail
Strategic Growth in the Global X-Ray Detectors Market (2025-2030)
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For C-level executives and senior decision-makers, this evolution represents more than a technological upgrade—it's a strategic opportunity for ROI, innovation, and competitive advantage. Download PDF Brochure: Healthcare, Defense, and Beyond: Why the X-Ray Detectors Market Is Booming X-ray detectors are no longer limited to diagnostic imaging in hospitals. They are transforming border security, aerospace inspections, homeland defense, and precision medicine, thanks to major advances in flat-panel technologies, backscatter X-rays, and photon-counting detectors. Here's why this market matters for enterprise leaders: Security and Defense Digitization: Airports, seaports, and critical checkpoints are integrating advanced X-ray imaging to combat emerging threats. High-resolution, real-time detection of concealed weapons, explosives, and contraband is now critical for national and global security. Medical Imaging Modernization: As healthcare systems digitize globally, the shift from analog to flat-panel digital radiography ensures higher throughput, faster diagnostics, and improved patient safety—delivering both clinical value and operational cost savings. Industrial Inspection & Automation: Rugged and handheld detectors are increasingly used for non-destructive testing (NDT) in aerospace, oil & gas, and manufacturing—ensuring safety, compliance, and uptime in mission-critical systems. Market Leaders & Strategic Differentiators Varex Imaging (US): Diversification and Deep Sector Expertise Varex Imaging exemplifies the market's transition from traditional radiology to multisector innovation. With strong capabilities across medical, industrial, and security imaging, Varex's inorganic growth strategy—driven by acquisitions and global expansion—makes it a versatile partner for OEMs and system integrators. Their investment in AI-enabled imaging and advanced detector materials positions them as a formidable player in custom and scalable detector design. Thales Group (France): Security and Medical Fusion Through its Trixell division, Thales provides state-of-the-art flat-panel detectors for OEMs across radiography, fluoroscopy, and cardiovascular applications. The company's legacy in defense and secure communications complements its healthcare imaging operations—making it uniquely positioned to lead in dual-use imaging systems for civilian and military applications. Canon Inc. (Japan): Ecosystem Strength in Healthcare Canon leverages its expansive global network and R&D capabilities across digital radiography, CT, and MRI systems. The firm's seamless integration of X-ray detectors within a broader portfolio of diagnostic tools enables healthcare institutions to modernize imaging infrastructure holistically—reducing downtime, radiation exposure, and diagnostic uncertainty. Request Sample Pages : Technology Spotlight: Flat-Panel Detectors Drive Value Flat-panel detectors (FPDs), particularly those using cesium iodide (CsI), dominate the technology landscape due to: Superior Image Resolution: Ideal for early detection of chronic conditions like cancer or cardiovascular disease. Reduced Radiation Dosage: Enhances patient safety and supports regulatory compliance. Faster Image Acquisition: Improves clinical workflow and diagnostic throughput. With hospitals and imaging centers under pressure to improve diagnostic accuracy while managing costs, FPDs represent a high-ROI investment with proven clinical and operational benefits. Geographic Growth Hotspots: Strategic Markets to Watch North America remains the most mature market, driven by advanced infrastructure, strong reimbursement systems, and early adoption of AI-enhanced imaging. Asia Pacific is rapidly expanding due to increased healthcare spending, government initiatives in rural diagnostics, and a rising middle class demanding high-quality imaging. Europe continues to innovate through public-private partnerships, particularly in preventive care and cancer diagnostics. Global players are expected to deepen regional partnerships and invest in localized production to navigate shifting trade regulations and accelerate time to market. Investment Outlook: ROI and Strategic Benefits For C-suite leaders, the X-ray detectors market offers: Long-term ROI: Upgrading to advanced detectors can result in 10–20% operational efficiency gains, reduced maintenance costs, and improved service turnaround times. Innovation Advantage: Early investment in photon-counting or AI-integrated detectors can differentiate offerings in competitive bids or tenders. Sustainability Impact: Digital detectors reduce chemical waste (vs. film-based systems), support greener operations, and align with ESG mandates. Future Outlook: AI, Photon Counting, and Space Applications Looking forward, the X-ray detector market is being reshaped by: Photon-Counting Detectors: Emerging as a disruptive force with unparalleled resolution and low-dose imaging for precision diagnostics. AI & Predictive Imaging: Integration with artificial intelligence enhances image interpretation, triage, and workflow automation—enabling faster, more accurate decisions. Space & Deep Tech Applications: X-ray systems are being explored for use in satellite inspections, asteroid mining, and extraterrestrial exploration, unlocking new industrial frontiers. Key Takeaways for Decision-Makers Strategic Priority Value Proposition Modernize Imaging Infrastructure Enhance speed, accuracy, and ROI Align with National Security Demands Adopt advanced X-ray tech for defense & border safety Leverage ESG & Sustainability Transition to greener, digital imaging systems Capitalize on Global Expansion Target high-growth regions and partner with OEMs Invest in R&D and Innovation Future-proof your portfolio through emerging tech Ready to Lead the Next Wave of Imaging Innovation? The X-ray detectors market presents an intersection of innovation, resilience, and growth. Enterprises that invest now in next-generation detector technologies will be better equipped to meet rising demand, navigate regulatory shifts, and deliver exceptional value to customers. For more information, Inquire Now!
