#data-science

#data-science

The National Institutes of Health announced plans for the $50 million grant project this summer to "identify how existing treatments/interventions are used and better understand their outcomes to inform the design of future clinical studies." The funding comes after the administration had previously announced controversial plans to study autism, including a proposed database of individuals with autism comprised of information from sources ranging from pharmacy chains and hospitals, to wearable devices with health sensors, like smartwatches.

Data scientist Median annual salary: $112,590 Data scientists continue to be in high demand, with the Bureau of Labor Statistics (BLS) reporting that employment is expected to jump 34% by 2034. The job involves using special analytical tools and techniques to gather and interpret data for their employers. Since much of the work is done in the office, it can easily transition to remote work.

At PG&E's weather lab in San Ramon, Scott Strenfel studies a huge digital map on the wall displaying temperatures, dew points and humidity levels across California. At a spot in Kern Hills outside of Bakersfield, wind gusts of 39 mph were forecast to hit. Hey team, thunderstorm outflow down in Kern at 3 p.m., Strenfel calls out to his fellow scientists, each behind double computer screens.

Agencies are being rocked by the rise of AI. The solution? Bring on more humans. No, seriously. On Tuesday, digital agency Incubeta announced its acquisition of RocketSource, a consultancy that helps advertisers understand what drives customer behavior using data science and predictive analytics. The price of the deal was not disclosed. The traditional agency business model is falling apart, according to Alex Langshur, CEO of Incubeta in the Americas, because its cost structure is being "obliterated" by AI.

Ambience Healthcare has developed an AI operating system for documentation, coding, and clinical workflows, aiming to enhance administrative processes in healthcare organizations. With a total of $319.3M in funding, it is supported by notable investors including Andreessen Horowitz and OpenAI Startup Fund.

"Data scientists are great when you want to optimize your product by 2% or 5%, but that's definitely not what you want to be doing when you start a company."

Not all products are created equal, and there's a profound gap between the trust we place in brands and the reality of what's inside their products.

TensorFlow implements a subset of the NumPy API, allowing the execution of NumPy code with acceleration from TensorFlow, providing access to all TensorFlow’s APIs.

"It's one of the few jobs where what you deliver today can impact the business tomorrow - or even the same day."

The metrics we often call vanity metrics aren’t just for show; they often reflect teams' limited scope for measurement in the evolving data-driven security landscape.

She emphasized the idea that moving from exploratory data analysis in Jupyter notebooks to production involves not just technical skills, but also leveraging software engineering principles.

Autonomous agents have swiftly transformed from theoretical concepts to practical applications, revolutionizing various industries by automating complex tasks and enhancing decision-making processes.

Scot has long been at the forefront of valuation innovation championing computer vision, remote inspection, and hybridized appraisal models with regulatory fluency.

Dask orchestrates work across multiple workers while integrating GPU acceleration through cuDF, enabling efficient large-scale data processing for data scientists.

I learned to create engaging titles and make my writing concise and interesting.

Professional cycling has made huge strides in becoming a more modern sport over the past 15 years and the XDS Astana team are a prime example of how the simple step of embracing technology can turn a last-placed team into a major player.

The hedge fund industry is expected to grow to USD 5 trillion by 2028, driven by demand for alternatives in uncertain markets.

This session teaches AI and data engineers how to set realistic expectations for software development agents like OpenHands, helping them leverage these tools effectively to boost productivity.