Welcome to Fox News' Artificial Intelligence newsletter with the latest AI technology advancements. IN TODAY'S NEWSLETTER: - Scammers can exploit your data from just one ChatGPT search - Business Insider embraces AI while laying off 21% of workforce - Nvidia, Dell partner with Trump admin to make next-gen supercomputer GUARD YOUR DATA: ChatGPT and other large language models (LLMs) have become amazing helpers for everyday tasks. Whether it's summarizing complex ideas, designing a birthday card or even planning your apartment's layout, you can get impressive results with just a simple prompt. NEWS BREAK: Business Insider announced Thursday that the company will be shrinking the size of its newsroom and making layoffs, impacting over a fifth of its staff. Business Insider CEO Barbara Peng said in an internal memo obtained by Fox News Digital that the company is "fully embracing AI," as 70% of the company's staff currently uses Enterprise ChatGPT, with a goal of 100%.

Some of 2024's most interesting science, technology, and history stories could be found in international auctions. Regardless of their final winning bids, each of the following items and artifacts are impressive in their own right. From AI-painted artwork to hunks of coal, these auction items highlight the wide range of not just artifacts from the past, but future-forward items, as well. If nearly 45 million sounds like a lot for a dinosaur skeleton to you, you aren't alone. Although billed as one of the "finest" known examples, a stegosaurus named "Apex" almost immediately drew controversy over the summer for a final bid that came in at over 10 times Sotheby's initial estimation.

Early humans nearly went extinct 900,000 years ago when the population of our ancestors dropped to just 1,280 individuals, research suggests. A new study has found that the human race was almost wiped out as it approached a severe cooling period in the Earth's history known as the Middle Pleistocene. This severe'bottleneck' lasted over 100,000 years and was a threat to humanity as we know it today, experts say. A team from East China Normal University developed a model that could look at modern gene lineages and use them to estimate past population size. They used their model to analyse the DNA of 3,154 modern humans from both African and non-African populations.

Haywood Talcove, CEO of LexisNexis Risk Solutions' government division, told Fox News Digital that he believes there will be more than $1 trillion in artificial intelligence-assisted fraud if U.S. doesn't act quickly. Artificial intelligence smashed the floodgates to unprecedented fraud that could cost taxpayers hundreds of billions, if not $1 trillion, over the next 12 months, an expert told Fox News Digital. Haywood Talcove, CEO of LexisNexis Risk Solutions' government division, which evaluates and predicts risk, said he's already seeing criminals on the dark web using people's faces to steal from government and state agencies. Benefits to America's most vulnerable communities, such as Social Security, Medicare and Medicaid, and unemployment, are ending up in the pockets of criminals and criminal enterprises that are operating all over the world. "Being one of the wealthiest countries in the world makes us a huge target," Talcove said.

Koila solves CUDA error: out of memory error painlessly. Fix it with just one line of code, and forget it. To use it, download release v0.1.1 here.* Automatically accumulates gradients when batch sizes are too large. Lazily evaluates PyTorch code to save computing power.

Technology has begun playing a larger role in community pharmacy and the power of artificial intelligence (AI) is poised to transform the world of pharmacy as we know it. During a presentation1 at the National Community Pharmacists Association 2022 Annual Convention, held October 1 through 4 in Kansas City, Missouri, Paige Clark, RPh, vice president of pharmacy programs and policy at Prescryptive Health discussed the advantages of incorporating AI into pharmacy practices and shared the results of a nationwide survey, conducted by Prescryptive Health, focused on the use of technology and AI in pharmacies. "Here's the promise of technology: 62% of decision makers say artificial intelligence will positively disrupt the pharmacy landscape within 1 to 2 years," Clark said. "Ninety-one percent of decision makers believe that technology can improve their pharmacies' profitability without question." In terms of pricing, AI is able to compare the prices of major chain pharmacies with local competitors and identify the granular details of pricing.

Only 10% of businesses are currently using advanced analytics such as machine learning or big data capabilities in production environments. However, one-third of businesses are aware they will need to expand into these areas to avoid being outflanked by competitors in the current decade, and are trialling a host of automation capabilities in response to this. In late 2018, an apocalyptic white paper from DATAVLT predicted that as just 1% of the data companies collect and store is ever analysed, this will cause "as much as 96% that exist today to fail in 10 years." Echoing this foreboding forecast, a new report from Coeus Consulting has similarly warned that organisations are missing opportunities to be empowered by great use of data. According to a survey of 120 senior IT and data leaders, while 50% of companies are now widely using data warehousing and BI tools, most are still focusing on getting the basics right.

This week, Tesla TSLA released a very limited beta of what Elon Musk has referred to as "feature complete full self-driving" to a chosen subset of their early access customers. It also announced a $2,000 increase in the price of the "FSD in the future" package it sells today to car owners, giving them access to this software when it's ready. The package is impressing many of these owners. A few have posted videos to Youtube showing the system in operation on city streets. In spite of the name, "full" self driving is neither self-driving nor full as most people in the industry would refer to it.

Bias and Variance are amongst the more misunderstood concepts in ML, as they're usually described using superficial explanations of under-fitting and over-fitting. In this post, we lay down the statistical groundwork to understand where they come from. The maths is thoroughly explained, so you won't need to be an expert in Statistics to understand it. That said, you should be familiar with the basic concepts of a probability distribution and its Expected Value (average). We'll also assume you're familiar with the ML ideas of regression and supervised learning.

"The solution to the Rubik's Cube involves more symbolic, mathematical and abstract thinking, so a deep learning machine that can crack such a puzzle is getting closer to becoming a system that can think, reason, plan and make decisions." An expert system designed for a narrow task, such as only solving a Rubik's Cube will forever be limited to that domain. But a system like DeepCubeA, boasting an adaptable neural net, can be used for other tasks, such as solving complex scientific, mathematical, and engineering problems. Stephen McAleer, a co-author of the new paper, told Gizmodo how this system "is a small step toward creating agents that are able to learn how to think and plan for themselves in new environments." Reinforcement learning works the way it sounds.