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Drug discovery is notoriously inefficient. Pharmaceutical projects span years, moving from one specialized human team to the next through disconnected workflows that result in knowledge loss during each handoff. A shocking 90% to 95% of drug discovery projects reportedly fail — one of the highest failure rates of any industry. A single successful drug can take over a dozen years and up to $1 billion from initial discovery to patient distribution, according to published reports. Generative AI is being used t
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VentureBeat
An East Bay apartment complex has been bought at a price that's well below its prior value. Read more ›
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A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more ›
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Five iPhone accessories at Prime Day 2026 prices, each picked because they solve a real problem rather than just looking good on a spec sheet. Read more ›
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Just days after a gunman killed conservative activist Charlie Kirk, it became clear that President Donald Trump would use the assassination to fuel a crackdown on free speech. To avenge Kirk's death, the administration vowed to go after so-called "antifa" (otherwise known as antifascist) terrorists. Now that promise is bearing fruit. This week, eight Texas […] Read more ›
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Microsoft just added a cheaper 12-inch Surface Pro and 13-inch Surface Laptop to its lineup. Both models come equipped with 8GB of RAM instead of 16GB, costing $849 for the specced-down Surface Pro and $949 for the Surface Laptop, as spotted earlier by Windows Central. When the 12-inch Surface Pro and 13-inch Surface Laptop launched […] Read more ›
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Несколько лет я занимаюсь продвижением организаций в Яндекс Картах и постоянно сталкиваюсь с одним и тем же недопониманием у владельцев бизнеса. Рейтинг воспринимают как среднее арифметическое оценок, а позицию в выдаче как прямое следствие рейтинга. Оба предположения неверны, и из-за них люди годами вкладываются не в то.Здесь разберу задачу с инженерной стороны, почему наивное среднее не работает в принципе, какими стандартными приёмами вообще решают задачу расчёта рейтингов, что из этого... Read more ›
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The Rocco isn’t on Amazon, but its rare sale knocks up to $400 off a fridge that can track your drinks and make any room look cooler. Save through July 5. Read more ›
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The explosion was relatively small, but still triggered noticeable changes to the area. Read more ›
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OpenAI has updated GPT-5.5 Instant, making ChatGPT's default model more conversational, better at advice, and easier to talk to during everyday interactions. Read more ›
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Former Infosys CEO Vishal Sikka’s new AI venture Hang Ten Systems has raised $32 Mn (₹302 Cr) in its seed… Read more ›
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Shopping Roborock’s models can feel overwhelming. But there’s just one I recommend snagging during Prime Day. Read more ›
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If you're currently shopping for a Volkswagen and happen to be a Costco member, you're in luck with this interesting limited time perk from the store. Read more ›
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Indie movie fans are upset about Google DeepMind's $75 million investment in the studio, which comes as AI companies are deepening their influence in Hollywood. Read more ›
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VentureBeat
Building a context layer between enterprise data stores and AI agents is bespoke work, with no standard service to automate or maintain the graphs over time. Amazon is making a direct play to change that.Amazon on Wednesday entered the space, announcing a series of three products it's positioning as a context intelligence stack for AI agents. The centerpiece is AWS Context, a new knowledge graph service that gets smarter through... Read more ›
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Adobe has announced a major expansion of its "creative agent" across its flagship Creative Cloud suite and upgraded Firefly AI studio. Available in public beta starting today across Premiere Pro, Photoshop, Illustrator, InDesign, and Frame.io, the agent is designed to serve everyone from individual creators to enterprise marketing teams. Unlike first-generation generative AI tools that simply output flat media from a chat interface, Adobe’s embedded assistant acts as an orchestration... Read more ›
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Two AI tools broke in the same way in the same two weeks, and four research teams proved it. The pattern underneath every disclosure is one sentence: enterprise AI accepts external input with no trust boundary. On June 15, Varonis disclosed SearchLeak (CVE-2026-42824), a proof-of-concept exfiltration chain in Microsoft 365 Copilot Enterprise Search. A victim clicks a crafted microsoft.com URL, Copilot searches their mailbox, and the data leaves through a... Read more ›
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Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly in development, but in production, it consistently hallucinates or misses key constraints. Fixing this is rarely a simple patch. It requires a tedious, trial-and-error process of tweaking chunking strategies, retrieval methods, and system prompts simultaneously. Because these adjustments are entangled, it becomes nearly impossible to attribute which specific. Read more ›
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Anthropic announced a potentially game-changing new feature for users of Claude Code on the Claude Team and Enterprise subscription plans: Artifacts. This update turns a Claude Code session's work into a live, interactive, and shareable, custom HTML webpage, allowing a Claude Code user to plug in live code, multiple data sources, and have it surface on an interactive URL that they can send to other teammates — be it a... Read more ›
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Enterprise teams keep watching the same thing happen. An AI agent demos beautifully, goes to production, and stalls: it runs for a short stretch, then needs a human to top up its context and check its output, and the promised efficiency drains into supervision. The agent did the work; you did the watching. It’s one reason so many agent pilots never turn into production systems.The pitch on the other side... Read more ›
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Your AI agent did exactly what it was designed to do. The framework underneath it just handed an attacker a shell on the box that holds your OpenAI key, your database credentials, and your CRM tokens.That is not a hypothetical. In a few months, three of the most widely deployed AI agent frameworks each turned a known, ordinary bug class into a way through. Check Point Research chained a SQL... Read more ›
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Presented by SolidigmAs inference workloads evolve from discrete question-and-answer exchanges into persistent, multi-step agentic systems, GPU availability is no longer the most critical AI bottleneck. Instead, the bottleneck has migrated from compute to context, says Jeff Harthorn, AI applied research lead at Solidigm."Why context management has become a primary bottleneck, more than GPU availability or compute efficiency, is the question of 2026," says Harthorn. "GPUs have gotten dramatically cheaper per Read more ›
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Not every company can or should build their own frontier AI language model. However, the harness controlling the model is something that most enterprises can and should customize for their specific purposes.Of course, this is easier said than done. Agent harnesses are still largely tuned through manual, ad hoc debugging — a process that relies heavily on intuition rather than systematic feedback loops, making it difficult to keep pace with... Read more ›
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Presented by SplunkEvery day, organizations learn things their AI systems never get to use.A security analyst corrects an AI-generated investigation. A network engineer identifies the root cause of a recurring outage. An observability team discovers that a pattern of latency, logs and infrastructure changes predicts service degradation. A customer operations team learns which signals indicate an escalation is likely.Each moment contains valuable organizational knowledge. But in most enterprises, that knowle Read more ›
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24.06.2026 18:00
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