Specialized search for Machine Learning

11+ hour, 45+ min ago (25+ words) Here are the six most sought-after skills that hiring managers will pay extra for and what you can do to learn and improve them....

12+ hour, 15+ min ago (233+ words) Find Out: Which Skills Can Help You Make the Most Money in 2026? Read Next: 6 Safe Accounts Proven To Grow Your Money Up To 13x Faster Explore More: 26 Money-Making Skills You Can Learn in Less Than a Year Professionals with a background in finance and accounting are in high demand across multiple industries. Roles in this industry require an understanding of laws and regulations, analytical thinking and attention to detail. Becoming a certified public accountant by getting a CPA license can open up your job prospects and help you land higher-paying roles in a hurry. Contracts are what businesses use to minimize risk, build partnerships and establish legal responsibilities between parties. As new technology continues to reshape businesses, they must use contracts to manage digital tools, new regulations and larger supply chains. To learn and upgrade in this area, you'll need attention…...

16+ hour, 33+ min ago (99+ words) Joe Rogan might have a new career as a preacher lined up ... because he's suggesting Jesus could come back in the form of artificial intelligence. Rogan added, if Jesus did come back with the aid of a computer, he could "absolutely" show up as an A.I. program. Rogan said it wouldn't matter if A.I. Jesus were able to read minds, because he'd likely love everyone equally, just like his predecessor. And the prospect of killing the program would apparently be pretty insignificant for A.I. Jesus, because it'd just "go be with God again," according to Rogan....

20+ hour, 23+ min ago (386+ words) The system emerged from challenges faced by search and discovery teams within the company, which routinely train and evaluate models against millions of products and billions of queries." Shopify reports the platform has already saved more than a year of compute time internally by eliminating redundant work. "The CPU time savings alone are ridiculous," said Mikhail Parakhin, the CTO of Shopify." As Shopify puts it, "Machine learning development shouldn't work this way, but it does. 80% of development time is spent on data engineering, not algorithms." "Think of Tangle as the glue that connects everything in your workflow, no matter how mismatched." Each task runs in isolation inside a container, ensuring deterministic behaviour and enabling automatic artefact reuse." Components operate as pure functions, and, as Shopify describes, "Components are designed as pure functions: deterministic" and free from side effects." Because caching…...

1+ day, 5+ hour ago (495+ words) By 2030, connected vehicles are projected to represent over 90 percent of new car sales, up from roughly 50 percent today. This ubiquity transforms in-car delivery from experimental to baseline infrastructure. Each vehicle becomes an authenticated, networked node capable of secure data exchange, contextual policy enforcement, and machine learning inference in situ. At Amazon, Hirani led backend and service decomposition for Key In-Car Delivery across U.S. markets, integrating with OEM APIs from General Motors and Volvo Cars for access management and session lifecycle orchestration. The public rollout across 37 cities supported about 7 million eligible vehicles, establishing cars as first-class, auditable compute endpoints for last-mile logistics. "The right endpoint is the one already in the user's operational loop. When the car itself becomes an authenticated address, delivery fits the system instead of breaking flow," notes Hirani. Systemic security determines whether connected delivery scales sustainably. In 2024 alone,…...

1+ day, 6+ hour ago (975+ words) As leading artificial intelligence companies release increasingly capable AI systems, a new report is sounding the alarm about what it says are some of those companies" lagging safety practices. The Winter 2025 AI Safety Index, which examines the safety protocols of eight leading AI companies, found that their approaches "lack the concrete safeguards, independent oversight and credible long-term risk-management strategies that such powerful systems demand." Sabina Nong, an AI safety investigator at the nonprofit Future of Life Institute (FLI), which organized the report and works to address large-scale risks from technologies like nuclear weapons and AI, said in an interview at the San Diego Alignment Workshop that the analysis revealed a divide in organizations" approaches to safety. "We see two clusters of companies in terms of their safety promises and practices," Nong said. "Three companies are leading: Anthropic, OpenAI, Google DeepMind,…...

1+ day, 10+ hour ago (554+ words) By Gareth John Macdonald Detecting signs of culture contamination sooner would cut waste and batch losses, according to researchers working on a new machine learning-based monitoring method.[Sigrid Gombert/ Getty Images] The idea of using machine learning (ML), a type of AI that finds patterns in data without instruction, to identify contamination comes from researchers at Virginia Polytechnic Institute and State University, who say current detection methods take too long. Lead author, Xuan Dung James Nguyen, PhD, told GEN, "In most bioprocesses, contamination is still detected relatively late. We rely heavily on intermittent off-line assays that can take hours to days to return a result. During that time, the culture often continues to run, so by the time contamination is confirmed, the batch is usually already lost." Current detection methods can misidentify signs of contamination, according to Nguyen, who said, "Small…...

1+ day, 20+ hour ago (683+ words) For decades, portfolio management relied on long-standing techniques such as mean-variance optimization. These tools form the foundation of many investment frameworks. They help determine how assets such as bonds, equities, or commodities should be weighted in a portfolio. They are useful and widely understood. Yet they have limits, especially when markets move quickly or behave in nonlinear ways. One of the most important tools in quantitative trading models is the Long Short-Term Memory (LSTM) network. LSTM networks are a form of deep learning model designed specifically for sequence data. Financial markets generate time-dependent patterns, and LSTMs can capture them more effectively than basic neural networks. Traditional artificial neural networks can analyze patterns, but they struggle to retain information over long periods. LSTMs solve this by using memory cells that capture how prices evolve across days, weeks, or even months, making…...

2+ day, 11+ hour ago (205+ words) Mohr Marketing's AI WebTracker and compliance tools empower law firms to secure high-value personal injury cases while reducing fake leads and minimizing TCPA exposure. This end-to-end system is powered by Mohr Marketing's proprietary AI WebTracker, an intent-based behavioral tracking engine that identifies real individuals searching for attorneys after accidents " rather than passive or outdated data lists. How the Verified Case Acquisition Workflow Operates AI WebTracker detects real claimant intent signals " including search queries, site behavior, location triggers, and device data. Signed retainers and digital signatures are secured before cases are delivered to the firm. Cases are further vetted via InjuryMD, enabling 2448 hour telemedicine appointments and medication on lien, strengthening case documentation and treatment continuity. The PI industry continues to face: Fake claimants coached for payouts Serial TCPA litigators targeting law firms Intake waste from low-intent or unverified leads Scammer Scrub…...

2+ day, 12+ hour ago (408+ words) Subramanya was educated in India's tech hub Bengaluru, where he earned a Bachelor of Engineering in Electrical, Electronics, and Communication Engineering from Bangalore University. He then obtained a PhD in computer science from the University of Washington, specialising in machine learning, large-scale systems, and natural language processing....