Latest updates from the AI industry
NEW DELHI, Feb 20: The adoption of artificial intelligence (AI) will not be a challenge in India, and policymakers should ensure that solutions are offered to people ethically without compromising their data privacy, according to Arundhati Bhattacharya, President and CEO of Salesforce, South Asia. Addressing a session at India AI Summit 2026, she also stressed the need to democratise technology to have an impact. “AI is going to solve a lot of problems which otherwise in a populous nation like [...]The post Policymakers should ensure ethical AI solutions without compromising data privacy: Salesforce appeared first on Daily Excelsior.
During the high profile India AI Impact Summit in New Delhi, former British Prime Minister Rishi Sunak captured the audience's attention with a blend of sharp wit and strategic insight. After arriving slightly late due to the city’s dense traffic, Sunak joked that even the most powerful artificial intelligence is currently no match for a Delhi gridlock.
On February 20, the Chief Minister of Maharashtra, Devendra Fadnavis, emphasised the significant role that artificial intelligence (AI) can play in fostering climate-resilient agricultural practices. He referred to the state’s MahaVISTAAR AI initiative, which aims to offer a comprehensive solution for farmers. In his statements, CM Fadnavis noted that due to the impacts of climate [...]The post Maharashtra CM Highlights AI’s Role in Climate-Resilient Agriculture appeared first on The CSR Journal.
Get latest articles and stories on Business at LatestLY. New Delhi [India], February 20: The India - AI Impact Summit 2026, hosted by the Government of India under the India AI Mission at Bharat Mandapam in New Delhi, marked a defining global inflection point that framed the transition from AI aspiration to measurable national and enterprise outcomes. Anchored in the principles of People, Planet, and Progress, the Summit outlined a future where artificial intelligence advances humanity, enables inclusive economic expansion, and strengthens long-term sustainability.
The portable cannabis vaporizer market is poised for growth driven by wider cannabis legalization, increased demand for health-conscious consumption, and advancements in vaporizer technology. Key opportunities include precision-control devices, smart product offerings, and expanding e-commerce distribution while navigating global trade changes. The portable cannabis vaporizer market is poised for growth driven by wider cannabis legalization, increased demand for health-conscious consumption, and advancements in vaporizer technology. Key opportunities include precision-control devices, smart product offerings, and expanding e-commerce distribution while navigating global trade changes.
The findings suggest that in India, ChatGPT is evolving from a curiosity to a core utility, particularly for coding, learning and early-career productivity.
The 10th edition of the ET NOW Global Business Summit 2026 concluded after two days of high-impact deliberations, positioning India at the centre of global economic and strategic conversations. Held under the theme “A Decade of Disruption. A Century of Change,” the summit brought together 1300+ delegates, including policymakers, global business leaders, economists, investors and [...]
Hyderabad: Telangana Chief Minister Revanth Reddy on Friday, February 20, proposed an AI war room to be established in Hyderabad with the help of the central government to monitor and respond to the latest developments in the field of artificial intelligence (AI). Speaking at the India AI Impact Summit in Delhi, the CM described AI ...Get the latest updates in Hyderabad City News, Technology, Entertainment, Sports, Politics and Top Stories on WhatsApp & Telegram by subscribing to our channels. You can also download our app for Android and iOS.
Grid Dynamics (NASDAQ:GDYN – Get Free Report) had its target price lowered by JPMorgan Chase & Co. from $10.00 to $9.00 in a report issued on Wednesday,Benzinga reports. The brokerage presently has an “overweight” rating on the stock. JPMorgan Chase & Co.‘s price target points to a potential upside of 28.76% from the company’s previous [...]
Pax Silica is a US-led strategic alliance focused on resilient supply chains for critical minerals and developing robust Artificial Intelligence models. India's entry is expected to strengthen technological cooperation, boost the semiconductor and electronics ecosystem.
NEW DELHI, Feb 20: Health Minister J P Nadda on Friday asked newly established campuses of the All India Institute of Medical Sciences (AIIMS) to balance rapid expansion with quality, urging them to prioritise patient-centric care while strengthening teaching and research. Addressing a leadership conclave of Presidents and Executive Directors of new AIIMS institutions in New Delhi, Nadda said the growing network must avoid letting scale dilute standards. With several AIIMS at varying stages of development, he called for structured [...]The post Prioritise patient-centric care, strengthen teaching & research: Nadda to heads of new AIIMS network appeared first on Daily Excelsior.
OneStream (NASDAQ:OS – Get Free Report) and PubMatic (NASDAQ:PUBM – Get Free Report) are both computer and technology companies, but which is the better investment? We will compare the two businesses based on the strength of their valuation, risk, earnings, profitability, analyst recommendations, institutional ownership and dividends. Analyst Ratings This is a breakdown of recent [...]
Samsung has started internal testing for One UI 9, based on Android 17. The update introduces a "Compact" layout for Samsung Internet, featuring an "Ask AI" tool powered by Perplexity AI. Aimed at mid-2026 flagship launches, the software focuses on contextual intelligence and modernised visual elements for Galaxy users.
While speaking at the India AI Impact Summit 2026, Jeetu Patel said AI has "completely changed and flipped" the modern software development process. Patel identified three major constraints that could slow AI adoption and advancement. "The first is infrastructure. There's just not enough power, compute, and network bandwidth in the world. Infrastructure is oxygen for AI," he remarked, pointing to limitations in memory capacity and data centre build-outs.
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OpenAI has released new data from OpenAI Signals, its new public data initiative, that highlights how people in India are using ChatGPT for coding, data analysis, learning, and everyday problem-solving.
New data released by OpenAI under its OpenAI Signals initiative shows that Indian users are leaning heavily into technical and skill-driven use cases, particularly coding and data analysis. With ChatGPT crossing 100 million weekly active users in India, the country is now its largest market outside the US and the fastest-growing market for Codex. Weekly Codex usage in India has jumped four times in just the last two weeks.Coding And Data Analysis Dominate UsageThe strongest signal from the report is clear. Coding and analytical tasks are leading adoption in India.Indian Plus and Pro users are using ChatGPT’s data analysis tools at roughly four times the global average. Codex usage for coding tasks stands at nearly three times the global average. Even at a broader level, Indian users are almost three times more likely than the global median to ask coding-related questions.Education-linked queries also remain strong, with Indian users nearly twice as likely to use ChatGPT for learning and study-related prompts compared to global averages.The highest concentration of coding usage comes from India’s established tech hubs. Telangana leads the chart, followed by Karnataka and Tamil Nadu. The data suggests that developers, engineers, and early-career tech professionals are embedding AI directly into programming and debugging workflows.Work-Focused AI, Not Just Casual UseProfessional use cases are another defining pattern.Around 35 percent of consumer messages in India are work-related, compared to about 30 percent globally. Within the workplace, users are primarily relying on ChatGPT for drafting and editing documents, technical troubleshooting, debugging code, and speeding up project execution.The data shows that AI is not being used only for experimentation or entertainment. It is becoming part of daily productivity systems.Ronnie Chatterji, Chief Economist, OpenAI, said “AI adoption is moving faster than our ability to measure it - and that’s a challenge for anyone trying to make smart decisions. Signals is our way of putting real-world evidence on the table, so India’s AI debate can be grounded in facts, not hype.”Young Users Driving Technical AdoptionThe surge is being powered largely by younger Indians.Users aged 18 to 24 account for just under half of all messages sent from India. Those between 18 and 34 make up around 80 per cent of total consumer messages. This demographic skew helps explain the dominance of coding, education, and early-career professional use cases.Outside work, nearly 35 per cent of usage revolves around practical guidance, while around 20 per cent each relates to general information and writing tasks.The overall trend is unmistakable. In India, ChatGPT is evolving into a coding assistant, debugging partner, research aide, and workflow accelerator. Technical adoption is not trailing global benchmarks. It is outpacing them.
London, UK - February 2026 | Strategic Revenue Insights Inc. - The global shift toward customer centric business models is redefining how organizations capture, analyze, and act on stakeholder insights, positioning the Enterprise Feedback Management market as a strategic pillar
Microsoft has officially expanded the capabilities of its Copilot Studio by adding xAI’s Grok 4.1 Fast model. The company shared a blog post stating that the roll out has started in the United States, where organisations can choose to enable the model within the ecosystem. The company aims to give businesses more flexibility in selecting [...]
Nvidia is on the cusp of investing $30 billion in OpenAI, scaling back a plan to pump $100 billion into the ChatGPT maker, the Financial Times reported Thursday.
In the wake of cofounder exits, Elon Musk's hands-on management is reshaping the startup.
The most popular stories on our website cover GlobalFoundries and Renesas announcing a strategic collaboration, an ultra-fast charge battery cell, and buying assets from the rocket launch company Orbex.The post Most Read – Renesas collab, Battery cell, Nvidia sells Arm appeared first on Electronics Weekly.
In the past year, IT professionals have weathered significant transformation in the workplace at the hands of AI. The technology has shifted demand for skills, altered several IT career paths, and disrupted day-to-day operations in nearly every business as leaders and employees adapt workflows and processes to incorporate AI.With layoffs once again making headlines, companies have shifted to hiring for specific skillsets they need to implement, adopt, secure, and make the most of AI, while upskilling employees internally to meet those same needs.Heading into 2026, top priorities in the hiring market include skills such as IT security, AI and ML integration, data analytics, governance and compliance, software engineering and development, and AI governance and ethics. However, a significant skills gap remains between what organizations seek and the skills candidates have on their resumes.Here is a look at the state of IT jobs today and how IT hiring and training strategies are evolving to address a quickly changing market for talent.A push for skills-first hiringThe past year has seen a significant shift towards organizations hiring for skills over experience, education, and background. While those traditional criteria remain relevant, IT leaders are looking to hire specifically for skillsets the organization needs or is lacking. This new focus is also seen as a way to open talent pipelines to candidates who may have been filtered out in the past.According to data from Robert Half, 65% of IT leaders had more difficulty finding skilled IT professionals for open roles in 2025 than 2024. This year, 61% say they plan to increase permanent headcount in the first half of 2026, while 55% will increase contract and temporary hiring in the same time frame.Roles that have seen “above-average sequential growth and consistent demand” over the past year include AI/ML engineer, cybersecurity engineer, data analyst, data scientist, DevOps engineer, ERP business analyst, IT project manager, network/cloud engineer, software engineer, and systems administrator, according to Robert Half.The recruiting agency’s survey of IT leaders identified the following as the most apparent skills gaps:AI and machine learning (cited by 45% of respondents)IT operations and infrastructure (36%)IT governance and compliance (25%)Cloud architecture and operations (24%)Data engineering and analytics (22%)Demand for AI skills continues to growJob postings that require AI literacy skills are growing at a rate of more than 70% year over year, according LinkedIn’s AI Labor Market Update report, which identified AI agents as the fastest-growing AI skill of 2025. Moreover, demand for AI skills such as prompt engineering are extending beyond IT to include roles in marketing, sales, and design.Other AI skills that grew the most in 2025 include Azure AI Studio, AI productivity, Spring AI, custom GPTs, prompt flow, large language model operations (LLMOps), AI strategy, OpenAI API, and automated feature engineering, according to LinkedIn.This marks somewhat of a shift from 2023, when the fastest growing AI skills included model training, hyperparameter optimization, and other skills considered vital to building AI tools. In just a few years, organizations are shifting to hiring and training workers skilled at getting the most from AI tools, as well as those who can help develop them.As AI increasingly takes on technical tasks, demand for soft skills is growing, according to Robert Half. To help oversee and guide AI-driven solutions, IT leaders are looking for workers with the skills to ensure AI is effective in supporting business goals, including:Critical thinking and problem solving (72%)Adaptability and continuous learning (69%)Creativity and innovation (65%)Communication (36%)Emotional intelligence (22%)Tech salaries remain strong in 2026In the coming year, Robert Half projects a 1.6% average salary increase across IT roles, with a 4.1% increase for AI/ML engineer and data scientist salaries, a 2.3% increase for software and applications development roles, and a 1.7% increase for consulting and enterprise systems roles, along with data engineering, analytics, and reporting positions.Additionally, 87% of IT leaders say they will typically offer higher salaries to candidates who possess specialized skills over those without them it, with 52% “willing to negotiate a higher starting salary with a candidate if the role supports a critical business need.”However, 69% of IT leaders express concerns about keeping pace with candidates’ pay expectations. To get ahead of this, leaders are prepared to not only increase starting salaries but also to add benefits and perks and to include salary ranges in job descriptions.The skills leaders say they’re most willing to boost salary for include:AI, machine learning, and data scienceCybersecurityCloud computing, cloud security, and cloud architectureSoftware and applications developmentData analytics, business intelligence, and reportingRTO mandates sparking employee dissatisfactionA report from Ivanti found that 64% of IT professionals say they have “experienced pressure to return to the office during the last 12 months” whether that’s a strict RTO requirement or “encouraged” by management, despite the fact that RTO mandates can spark talent turnover and decreased morale, as employees continue to value flexibility.Among the top cited reasons given for RTO mandates are improved productivity (41%) and stronger company culture (37%). Cybersecurity is also often cited as a reason, though more than half of IT professionals (56%) say security isn’t enough to justify strict RTO mandates. Moreover, while leadership seeks improve productivity via RTO mandates, 82% of workers say they are “at least as productive as, if not more” when working at home compared to the office.Still, employees expressed increased willingness to return to the office if offered a higher salary (75%); of those, 69% said a salary increase of 10% or more would be needed to consider it, according to Robert Half.Retention once workers return to the office is another concern, with 48% of respondents to the Ivanti survey reported feeling “resenteeism,” which is when workers dislike their jobs but stay despite the negative feelings. And 37% say they engage in “presenteeism” — coming into the office to be seen working, rather than to be productive.AI continues to reshape the IT job landscapeIn the Future of Jobs Report 2025 from World Economic Forum, 60% of employers say they expect AI to transform their business by 2030. The report noted that 63% of employers report that skills gaps are “categorically considered the biggest barrier to business transformation,” and 85% have plans to prioritize upskilling their workforce. Additionally, 70% of employers say they expect to source skills by hiring new staff, 40% plan to reduce staff as skills become redundant, and 50% plan to “transition staff from declining to growing roles.”Employees are largely adopting AI in the workforce, with 80% of respondents in the 2025 Indeed Workforce Insights Report, reporting they save at least one hour per day using generative AI. Additionally, 37% of tech professionals say their role has been “redefined or restructured due to gen AI in the past two years.” As AI takes over more menial, repetitive tasks, organizations are redefining IT roles to make way for the future of AI in the workplace.Organizations are increasingly offering courses on prompt engineering, AI fundamentals, and other skills that will help employees get up to speed on effectively using AI to boost productivity and efficiency. Training and upskilling can also help organizations avoid falling into pitfalls of “AI workslop,” which occurs when employees use AI in ill-advised ways, ultimately creating more work for coworkers who have to revise or edit AI-generated content. To make the most of AI investments, organizations will need to continue focusing on providing training and upskilling opportunities to employees within the organization.
OFA Group (NASDAQ:OFAL – Get Free Report) and Sekisui House (OTCMKTS:SKHSY – Get Free Report) are both construction companies, but which is the better business? We will contrast the two companies based on the strength of their institutional ownership, dividends, valuation, earnings, risk, analyst recommendations and profitability. Profitability This table compares OFA Group and Sekisui [...]
Alphabet (NASDAQ:GOOG – Get Free Report) and QuoteMedia (OTCMKTS:QMCI – Get Free Report) are both computer and technology companies, but which is the better investment? We will compare the two businesses based on the strength of their valuation, risk, earnings, profitability, analyst recommendations, institutional ownership and dividends. Profitability This table compares Alphabet and QuoteMedia’s net [...]
Stripe’s AI agents now generate over 1,300 weekly code updates, yet human engineers still review every single change.
A Defense Department dispute with Anthropic and warnings from artificial intelligence researchers have thrust AI safety issues into the spotlight.
AI startups Luvu, Status, and others lead a Second Wave, supported by Kylan Gibbs, creating unique experiences and revenue models in the AI space.
In the two years since generative AI exploded into the mainstream, we’ve moved from awe at its capabilities to a more pragmatic question: What comes next? The answer is evident in the rise of agentic AI, systems that don’t just respond to prompts but can reason, plan and pursue complex, multi-step goals autonomously.In 2026, this evolution will fundamentally reshape how engineering teams build, operate and innovate. However, any organization undergoing this transformation will require a strategic overhaul of people, processes and platforms.Agentic AI is structurally differentWhat makes agentic AI structurally different from earlier generations of developer tooling is not better prompting, but sustained execution. Frontier models can now reason across long-running, multi-step workflows, invoking tools, interpreting results and iterating over time. As this capability accelerates, entire segments of the software development lifecycle will move from human-executed to autonomously executed. By the end of this year, the defining challenge will not be whether AI can participate across engineering workflows, but how deliberately organizations design for it.The most immediate and tangible impact will be on development velocity. We are moving beyond AI as a sophisticated coding assistant to AI as an autonomous, multi-skilled team member. Agentic AI will increasingly act as a first-pass executor across the SDLC, analyzing feasibility during planning, implementing features during build, expanding test coverage during validation and surfacing risks during review; compressing weeks of coordination into continuous workflows.A recent McKinsey report highlights that AI-centric organizations are achieving 20% to 40% reductions in operating costs and 12–14 point increases in EBITDA margins, driven by automation, faster cycle times and more efficient allocation of talent and infrastructure. This isn’t just about speed; it’s about freeing human engineers from repetitive tasks to focus on the higher-order problems that require creativity and strategic thinking. The deeper gain is cognitive leverage: fewer handoffs, less context switching and reduced rediscovery of system knowledge, allowing engineers to operate at a higher level of abstraction for longer periods of time.Engineers as orchestrators, not just buildersThis shift necessitates a fundamental redefinition of engineering roles from creators to curators. It represents the core of the composable AI approach that many organizations are beginning to adopt. The engineer of 2026 will spend less time writing foundational code and more time orchestrating a dynamic portfolio of AI agents, reusable components and external services.Their value will lie in designing the overarching system architecture, defining the precise objectives and guardrails for their AI counterparts and rigorously validating the final output to ensure it is robust, secure and perfectly aligned with business goals. It’s a move from hands-on keyboard creation to high-level system design, quality assurance and strategic oversight. The core skill becomes systems thinking, not just syntax.As this shift takes hold, leading teams are converging on a simple operating model: delegate, review and own. AI agents handle first-pass execution, scaffolding, implementation, testing and documentation. Engineers review outputs for correctness, risk and alignment. Ownership of architecture, trade-offs and outcomes remains human. This clarity allows autonomy to scale without diluting accountability.Consequently, the focus of AI efforts will experience a decisive shift from prompt engineering to orchestration. Crafting the perfect prompt for a single task will become a basic, secondary skill.The primary technical challenge will be designing the sophisticated workflows and interaction protocols between multiple specialized agents. How does an agent that designs a database schema hand off its work seamlessly to an agent that writes the API and then to another that performs penetration testing? How do they collaborate, resolve conflicts and report status? This orchestration layer, which is the conductor of the AI orchestra, will become the central pillar of engineering workflows and a critical skill set for technology leaders.However, for this autonomous future to work, seamless integration with existing enterprise ecosystems is a must. An agentic AI platform that operates in a sterile, isolated lab environment is useless. It must be able to navigate, understand and operate within the complex, often messy, reality of an enterprise IT environment. This means deep integration with legacy monoliths, cloud-native CI/CD pipelines, project management tools and data lakes.Risk, governance and trust by designThis integrated technology also necessitates robust risk management and ethical considerations. How do we mitigate the risk of an autonomous agent making a flawed architectural decision that scales and impacts a production system? This will require robust guardrails, circuit breakers and comprehensive audit trails from the ground up.To counter inherent biases in training data that could lead to discriminatory outcomes, as well as the risk of agents being manipulated or jailbroken, a proactive and rigorous governance framework is essential. The 2024 Stanford AI Index Report highlights growing corporate attention to AI ethics, safety and governance as organizations struggle with rising risks. We must build trust not through black boxes, but through transparency, explainability and human-in-the-loop control points for critical decisions.Agentic AI will evolve through distinct phases. We begin with assistance, where AI supports discrete, atomic tasks; largely the stage we are in today. This progresses to augmentation, where AI manages multi-step processes and workflows within defined domains, such as autonomously overseeing a CI/CD pipeline.Ultimately, the trajectory leads to autonomy, in which AI operates across domains and makes smarter decisions guided by high-level business objectives. Each phase will demand different engineering structures, skills and governance models. Companies must be intentional and measured in their progression, avoiding the temptation to run before they can walk.This journey leads to a critical build versus buy decision that every firm will need to make. Do you invest massive resources to develop a proprietary agentic AI platform, tailored to your unique workflows and offering a potential competitive moat? Or do you leverage and customize third-party platforms from vendors, gaining speed to market but potentially sacrificing deep integration and differentiation?There is no one-size-fits-all answer, but the decision must be guided by a cold-eyed assessment of your core competencies and long-term goals, not just by the allure of the technology.Designing the hybrid human–digital workforceAll these threads culminate in the need for deliberate hybrid human-digital workforce planning. The future of engineering is not a fully automated, lights-out department; it’s a collaborative, synergistic ecosystem where human intuition and strategic oversight partner with AI speed and scale. Our focus must shift to defining the new organizational structures, communication protocols and leadership skills required to manage this blended workforce effectively.How do we evaluate the performance of an AI agent? How do we foster team cohesion between humans and digital workers? How do we retrain and upskill our existing talent? These are the profound management and cultural challenges of the near future and they require as much attention as the technology itself.Managing the transformation, not just the technologyThe promise of agentic AI is a true step-function improvement in engineering productivity, quality and innovation. But the path is fraught with technical, ethical and organizational complexity.Success will belong to those who view it not just as a new tool to implement, but as a transformative force to manage, with a clear-eyed focus on seamless integration, rigorous ethics, proactive risk management and, most importantly, the deliberate evolution of their human talent.This article is published as part of the Foundry Expert Contributor Network.Want to join?
Peter Thiel, co-founder of PayPal, Palantir Technologies, and Founders Fund, holds hundred dollar bills as he speaks during the Bitcoin 2022 Conference at Miami Beach Convention Center in 2022.
Once colleagues, OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei have nurtured one of AI's biggest rivalries.L
Among the companies drawing attention were Read AI and Lucidya, which presented tools focused on productivity insights and customer engagement automation. The event highlighted how AI is becoming foundational to regional startup strategies rather than a peripheral experiment. AI for Workplace Intelligence Read AI specializes in meeting transcription and analytics. By analyzing conversations across video [...]
With AI being the one of the most relevant buzzwords right at the start of 2026, several tailwinds continue favouring artificial intelligence such as investment in digital infrastructure and new applications within the healthcare sector, especially in the 'Global South'.
OpenAI revealed its plans to expand beyond Delhi at the AI IMpact Summit by setting up new offices in Bengaluru & Mumbai, and partnering with companies like TCS, Pine Labs, JioHotStar, MakeMyTripThe post OpenAI Announces Partnerships With TCS, JioHotstar, MakeMyTrip at the India AI Impact Summit 2026 appeared first on MEDIANAMA.
Is the next China shock already brewing in the AI industry following the impacts of DeepSeek, Moonshot AI, and Manus? Initial data now published on the LLM comparison platform Arena.ai suggest so. The new AI model Dola-Seed-2.0 has entered the ranking very high in a preview version and even ranks ahead of the current top [...]Der Beitrag ByteDance Prepares China’s Next AI Shock erschien zuerst auf Trending Topics.
Artificial intelligence platform Portkey, electric mobility startup Pluto Mobility, and fintech software-as-a-service (SaaS) firm Roopya have raised...
Southeast Asia’s AI future may be decided less by flashy breakthroughs and more by a quieter battleground: cybersecurity. That was the underlying message emerging from the ASEAN Digital Outlook and the first findings from the AI Ready ASEAN Research, launched by the ASEAN Foundation with support from Google.org at the AI Ready ASEAN: 3rd Regional [...]The post The real risk in ASEAN’s AI race is not falling behind. It is falling apart appeared first on e27.
Infosys (INFY) has transitioned from an “AI Underdog” to a market leader, with Jefferies maintaining a “Buy” rating and a target of ₹1,880. The stock is currently buoyed by two massive catalysts from the India AI Impact Summit: a deep-stack integration with Nvidia’s AI Factory and a landmark “Agentic AI” partnership with Anthropic. My analysis suggests that with 90% of its top 200 clients already scaling AI via the Topaz platform, Infosys is positioned to capture a significant share of [...]The post Infosys Price Prediction 2026: Why the Nvidia and Anthropic Alliances Are a Game Changer appeared first in UK on InvestingCube.
With Germany set to lose 15-20% of its workforce, Siemens AG is strategically shifting focus to India. The firm aims to export capabilities from India to meet global talent demands, emphasizing skill-based hiring and AI integration.
A brief on-stage interaction highlighted a deeper split over how powerful AI should be built, controlled, and released.
The India summit, like one in Paris before it, functioned more as a trade fair and an advertisement for the host nation’s AI prowess than a venue for meaningful international diplomacy.
The Global Luxury Car Market reached US$ 672.4 billion in 2022 and is expected to reach US$ 1,032 billion by 2030, growing with a CAGR of 5.5% during the forecast period 2024-2031.Market growth is driven by rising demand for premium
OpenAI's ChatGPT account playfully mocked rival Anthropic by sharing an edited photo of Sam Altman with lobster claws, referencing a recent talent acquisition. This move follows a period of intense competition, including Anthropic's funding and a Super Bowl ad targeting OpenAI, and a dispute over the OpenClaw project.
Startup representatives researching biotechnology say they have transitioned from "biotech" to "techbio." While it sounds like a simple play on words, the shift highlights a critical reality for the industry: Biological research is now entirely dependent on heavy hardware. Biological data operates on an unprecedented scale. Analyzing biological tissue measuring just 2 centimeters by 2 centimeters generates data in the petabytes (PB), equivalent to one quadrillion bytes. Consuming 1 PB is equivalent to watching a 1-gigabyte high-definition movie continuously for 13 years, or filling 1,024 1-terabyte hard drives. The sheer volume creates a severe logistical problem; the CEO of one biotechnology startup has said that transferring several PB of data to a cloud center via the internet takes four days. For urgent international collaborations, researchers face a frustrating reality. They must physically pack storage drives into their luggage and board airplanes. In the digital age, this physical transport — often called a "sneakernet" — remains faster than internet transmission for the lif
Saudi Arabia’s state-owned artificial intelligence company Humain has committed $3 billion to Elon Musk’s AI venture xAI as part of a substantial funding round conducted just before the startup was brought under the umbrella of his space technology firm SpaceX. The deal immediately positioned Humain as a significant minority shareholder, with its equity in xAI converted into SpaceX shares after the acquisition, the company said. The transaction [...]The article Saudi firm Humain takes $3bn stake in Musk’s xAI appeared first on Arabian Post.
Google’s Gemini 3, released in November, drew widespread praise and gave a notable lift to the company’s financial performance.
Claude Code vs ChatGPT Codex compared for performance, pricing, workflows, and privacy to find the best AI coding assistant in 2026.
(MENAFN - PR Newswire)With 95% of AI projects failing to reach production*, TQA launches a new identity and multi-platform strategy to deliver solutions that achieve real-world results.AUSTIN, ...
(MENAFN - EIN Presswire) EINPresswire/ -- When Dotsquares opened its doors in 2002, eCommerce was still in its infancy. Today, the company stands as one of the most trusted names in Shopify and ...
This month, Anthropic already unveiled the Opus and Sonnet versions of Claude 4.6. It beat Google’s Gemini 3 Pro on several fronts. A response was not long in coming, with the new, more powerful Gemini 3.1 Pro. Google is rolling out 3.1 Pro starting today. It will appear in the Gemini app, NotebookLM for paying [...]