Artificial intelligence

Artificial intelligence

Given the market opportunity, the acquisition is a no-brainer as Salesforce would want to advance its capabilities in the space, analysts pointed out, referring to Doti's current product offering, which is a AI-based enterprise search bot that can be interfaced with on Slack to surface insights from across applications and services, such as Datadog, GitLab, Jira, Confluence, , Notion, Slack, Salesforce, Monday, and Zendesk, among others.

The acquisition should help organizations build, train, and deploy specific AI models and Small Language Models (SLMs) within their own infrastructure. NeuralFabric's technology should primarily ensure that the new AI Canvas has an even more solid foundation. The future of AI models lies at least as much in small models as in large ones. To make AI truly interesting within organizations, we don't need another generic model, but rather more specialized models and SLMs.

Google has clearly documented how it tracks link clicks, impressions and positions for AI Overviews in this help document. But if you ever saw an AI Overview and interacted with them, you'd know that (1) when you click on a link icon, the citation cards on the right change and (2) running the same query a minute later may return different citation cards.

Anthropic says Chinese nation-state hackers hijacked its AI model Claude to carry out a cyberattack without "substantial" human involvement. In a Thursday blog post, the startup said Claude handled about "80-90%" of the cyberattack against about 30 global targets and that it had "high confidence" that a Chinese state-sponsored group was behind it. Targets included large tech firms, financial institutions, chemical-manufacturing companies, and government agencies, Anthropic said.

The makers of artificial intelligence (AI) chatbot Claude claim to have caught Chinese government hackers using the tool to perform automated cyber attacks against around 30 global organisations. Anthropic said hackers tricked the chatbot into carrying out automated tasks under the guise of carrying out cyber security research. The company claimed in a blog post this was the "first reported AI-orchestrated cyber espionage campaign".

At the same time, internal emails sent this summer by senior sales employees in its Worldwide Field Operations - which works with customers to deploy its technology - reveal it's contending with some hurdles as it tries to tell clients a "comprehensive software story" and sell those products alongside its highly sought-after AI hardware.

Anthropic says it developed the tool as part of its effort to ensure its products treat opposing political viewpoints fairly and to neither favor nor disfavor, any particular ideology. "We want Claude to take an even-handed approach when it comes to politics," Anthropic said in its blog post. However, it also acknowledged that "there is no agreed-upon definition of political bias, and no consensus on how to measure it."

In October, Collins Dictionary granted it the annual award following its explosive rise to prominence over the last nine months. The practice, which involves using natural language prompts to generate code and speed up development processes, has been hailed as a great breakthrough in software development and has gained significant traction across the tech industry. Indeed, it's become a burgeoning industry.

In the company's annual Cloud Readiness Report 70% of CEOs admit they built their current cloud environment "by accident, rather than by design" - this often entailed periodic upgrades aimed at addressing short-term needs, rather than focusing on longer term strategic improvements. Kyndryl said this shows that many lacked a "deliberate strategy" when pursuing cloud transformation projects, and the effects of this are starting to show with huge workload pressure placed on cloud environments, as well as growing security threats and evolving regulatory requirements.

Fans tired of waiting for the next Frozen sequel or the next chapter in the Star Wars saga may soon have new ways to engage with those worlds by creating their own content using Disney's IP. That was the tantalizing hint Disney CEO Bob Iger dropped during an earnings call Thursday, as he described how the company is exploring ways to make the Disney+ subscription-based streaming service more interactive, and customizable for users.

In June, the company announced plans with Uber to begin trialing Level 4 fully autonomous robotaxis in the capital as soon as 2026, part of a government plan to fast-track self-driving pilots ahead of a potential wider rollout in late 2027. Alphabet-owned Waymo, now a staple fixture of US cities like San Francisco, Los Angeles, and Phoenix, also has its eyes on London, announcing plans for its own fully driverless robotaxi service in 2026, one of its first efforts to expand beyond the US.

Tencent registered double-digit profit and revenue growth in Q3, fuelled by an increase in gaming and continued gains in online advertising, as it insisted its compute resources can keep its AI offering competitive. In its earnings call, president Martin Lau stated its GPU resources are "sufficient for internal use", with improvements in its Hunyuan model and resources ongoing. "Tencent is not behind in AI capabilities, with continuous enhancements expected to maintain competitiveness," the executive added.

your favorite dishes, obscure movie quotes, even that exact shade of sweater you casually admired months ago. Dinner plans are effortless: "Booked us Giorgio's again, your favorite - truffle ravioli and Cabernet, like last time," Mary smiled warmly. But gradually, things become less appealing. Your attempts at variety or exploring something new are gently brushed aside: "Heard about that new sushi place, should we try it?" you suggest.

In explaining the rationale for its move, the comms tech provider says Bengaluru is recognised as one of the country's fastest-growing technology hubs, and is well known for its skilled professional talent pool - especially in software engineering - hence the presence of major global telecom companies. It adds that the dynamic ecosystem positions the city as a prime location for R&D operations in India.

"We see that [the] world model is just as big and exciting, if not more [than the previous eras]," Li, who is also CEO of the company, told The Verge in an interview.

Pre-built tools, custom functions, OpenAPI specs, and integration across the Google ecosystem. Code-first development that allows developers to define agent logic, tools, and orchestration directly for flexibility, testability, and versioning. The ability to design scalable applications by composing multiple specialized agents into flexible hierarchies. A built-in development UI that lets users test, evaluate, debug, and showcase agents. Support for the Agent2Agent (A2A) protocol, which allows a primary agent to orchestrate and delegate tasks to specialized sub-agents.

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks has added SQL-based AI parsing capabilities to its Agent Bricks framework, just days after Snowflake introduced a similar ability inside its Intelligence platform. The new abilities from Snowflake and Databricks are designed to help enterprises analyze unstructured data, preferably using agent-automated SQL, backed by their individual existing technologies, such as Cortex AISQL and Databricks' AI Functions.

Yann LeCun, the AI pioneer who has led Meta's Fundamental AI Research (FAIR) division since 2013, will reportedly leave that post to start his own AI research lab. LeCun plans to depart in the coming months, and has begun early fundraising discussions to support his new venture, the reports say. The new startup will focus on building "world models," or AI systems that learn from images, video, and spatial data instead of relying solely on text and large language models.

AI can do a lot of things. It can write your emails. It can make your grocery list. It can even interview you for a job. But now, more and more people are depending on AI for things that require real human qualities: life coaching, therapy, even companionship. Scott Galloway, best-selling author and professor of marketing at New York University's Stern School of Business, says the real problem with synthetic relationships is what they lack: any kind of struggle or challenge that comes with maintaining real

The UK government has confirmed North Wales as the location of its latest AI growth zone (AIGZ), while also revealing that there is no investment partner in place to get the construction part of the project off the ground. The Department for Science, Innovation and Technology (DSIT) said the zone will "straddle" the Menai Strait to cover parts of Anglesey (Ynys Môn) and Gwynedd, and will create more than 3,400 jobs, including temporary construction roles and higher-paid jobs in artificial intelligence (AI) research and development.

After testing three different toys powered by AI, researchers from the US Public Interest Research Group found that the playthings can easily verge into risky conversational territory for children, including telling them where to find knives in a kitchen and how to start a fire with matches. One of the AI toys even engaged in explicit discussions, offering extensive advice on sex positions and fetishes.

The military is going to use artificial intelligence. But while planners in the government may have an idea of the best way forward, can they truly lead, or will industry steer things forward? In a new Breaking Defense video on the future of military AI, Breaking Defense Editor-in-Chief Aaron Mehta and our in-house AI expert Sydney Freedberg are joined by Joshua Wallin of the Center for a New American Security to tackle that very question.

Amid a burgeoning artificial intelligence (AI) landscape, giving investors an overabundance of stocks trying to capitalize on the technology's potential, BigBear.ai ( ) delivers AI-powered analytics and decision intelligence solutions primarily for defense, government, and commercial sectors. Because its platforms integrate vast datasets to provide real-time insights, serving clients in government and enterprise in areas like national security, logistics, and border management, BigBear is frequently compared to Palantir Technologies ( NASDAQ:PLTR ). For example, BBAI's tools, such as ConductorOS, echo Palantir's Gotham and Foundry in enabling predictive analytics and operational efficiency.

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or producing our latest documentary, 'The A Word', which shines a light on the American women fighting for reproductive rights, we know how important it is to parse out the facts from the messaging.

"The core purpose is to support members in proactively designing their growth direction and embarking on new challenges both inside and outside the company amid the era of AI transformation," a company representative said." The company plans to support members in autonomously deciding whether to continue the direction of change internally or expand externally."

"There's a deeply human satisfaction to retreating to an exotic location and wrestling with your own mind, scratching a record of your battle on paper," Cal writes. "The innovations and insights produced by this long thinking are deeper and more subversive than the artificially cheery bullet points of a chatbot."

Microsoft believes the next generation of AI models will use hundreds of trillions of parameters. To train them, it's not just building bigger, more efficient datacenters - it's started connecting distant facilities using high-speed networks spanning hundreds or thousands of miles. The first node of this multi-datacenter cluster came online in October, connecting Microsoft's datacenter campus in Mount Pleasant, Wisconsin, to a facility in Atlanta, Georgia. The software giant's goal is to eventually scale AI workloads across datacenters using similar methods as employed to distribute high-performance computing and AI workloads across multiple servers today.