The arrival of ChatGPT as a mass consumer tool, available to anyone with a smartphone or a PC, in November 2023, heralded a new Armageddon scenario for the global employment market.

The fear that machines would replace humans within months was quickly replaced with a new narrative that, far from making millions of people redundant, AI would be a jobs creator, enabling us all to be more productive.

The reality has been a strange hybrid of the two, but it has given rise to a previously unforeseen phenomenon which, while less catastrophic than the former, has the potential to destabilise companies, sectors and even entire economies – the rise of the multi-disciplinary, power employee.

A paradox is unfolding, particularly within knowledge-intensive sectors like life sciences, with headlines announcing tens of thousands of layoffs, as companies streamline operations and embrace cost-cutting measures.

Bayer, Merck, and Bristol Myers Squibb have collectively shed tens of thousands of roles. Commercial real estate firms like CBRE report that the average lab space per employee is shrinking, a tangible sign of corporate “right-sizing”.

Yet, in the same breath, hiring managers voice a persistent, frustrating struggle to fill critical positions in areas like regulatory affairs, clinical operations, and bioinformatics. This is not merely a hiring glitch; it is a fundamental workforce strategy problem, and at its heart is a profound failure to recognise how AI is redefining human capital.

By acting as a powerful co-pilot, AI tools are enabling individuals to absorb the responsibilities of two, three, or even four traditional roles. However, this creation of a super-productive, multi-disciplinary workforce has a flip side.

It has the potential to trigger a seismic shift in the jobs market, making it less competitive and transparent, and eroding traditional pathways that have long defined career advancement.

The rise of the multi-disciplinary power employee

Employers were quick to recognise that the power of AI lies not in replacing employees, but in augmenting their skills and productivity, none more so that in the life sciences sector. McKinsey Global Institute estimates that generative AI alone could generate  $60-$110billion annually for the pharma and medical-product industries.

This value is not created in a vacuum; it is realised through the dramatically enhanced output of the existing workforce.

In research and early discovery, AI tools can extract scientific knowledge from patents and publications in minutes, a task that once consumed weeks of a researcher’s time. In silico compound screening, powered by AI, can identify new drug leads in weeks instead of months, performing predictions up to 1,000 times faster than older methods, as seen with tools like Boltz-2.

This does not eliminate the researcher; it transforms them from a specialist in a narrow domain of biology, to simultaneously become a data analyst, computational modeler, and strategic asset selector, all while applying their irreplaceable human expertise to validate and interpret the AI’s output.

This pattern repeats across the entire corporate structure. A clinical trial coordinator, once buried in paperwork and patient recruitment logistics, now uses AI co-pilots that can analyse trial performance data in real-time, suggest interventions, and even auto-draft communications. Their role expands from administrator to strategic operations manager.

A regulatory affairs specialist, tasked with navigating the labyrinthine pathways of health authorities, now leverages AI engines that predict regulatory queries and help draft complex submission documents, shifting their focus from manual writing to high-level strategic oversight and ethical validation.

The result is the emergence of a new class of multi-disciplinary power employee, able to develop a unique, integrated understanding of multiple facets of the business.

As well as being a regulatory expert, thanks to AI, they also have a deep understanding of clinical data, commercial strategy, and the underlying science. This cross-functional expertise, honed through daily interaction with augmented tools, makes them a repository of institutional knowledge that is incredibly difficult to replicate.

So much for the new super employee, but what happens when they leave the company because they have been offered a better job elsewhere, they have retired, are pregnant, or because they have decided to live in a remote, north Atlantic isle, raising sheep and knitting Fair Isle sweaters?

In those circumstances, the company loses not a single function, but an entire nexus of interconnected capabilities. Replacing them is not a matter of finding another candidate with a similar job title on a CV, but someone who can potentially fill a multi-faceted, AI-augmented role that has evolved organically within the company.

The new hire must learn, not only the company’s culture and processes, but also be trained on specific AI tools and, most challengingly, they must develop the same synergistic understanding of how different business functions interrelate – an understanding their predecessor may have built over years of augmented work. The hole they leave is not a single vacancy; it is a crater.

The death of the CV and the automated labyrinth

While AI has made individual employees significantly more valuable within a firm, it had also turned the external jobs market into a Darwinian jungle, making it less competitive and more impersonal for job seekers.

Companies seeking to hire, or replace top-tier talent, long ago replaced the hopelessly inefficient method of posting job adverts and sifting through incoming CVs, with sophisticated AI tools that scour the digital landscape for passive talent.

By analysing LinkedIn profiles, GitHub repositories, academic publications, conference presentations, and project portfolios, these tools create a digital footprint map, identifying individuals with the precise, often hybrid, skill sets that companies now crave.

While this digitised and automated system is ruthlessly optimised for efficiency and risk mitigation, it is tragically poor at identifying potential and human chemistry.

Applications can often be sifted through six or seven attritional rounds before  they are even considered by a human. of A late developer whose CV is not stellar but who possesses unusual drive and intellectual curiosity may be dumped at round one.

A “people person” who excels in verbal communication and team dynamics but is less adept at formulating their experience on paper, may never get the chance to shine. The process privileges candidates who may test well in isolated, automated scenarios, while discarding others who could have brought invaluable human qualities to the organisation.

Augmentation, not replacement – navigating the new paradigm

The central lesson for employers is that their workforce no longer comprises a collection of specialised roles, but more a cohort of augmented, multi-skilled individuals. They must shift from simply hiring to developing a workforce strategy that includes creative internal redeployment, continuous upskilling and cross-functional mobility.

The new mandate for jobseekers in the modern workforce is no longer to guard a single area of expertise, but to adapt and integrate, becoming versatile in using AI-powered tools across multiple domains. Their greatest challenge is no longer to become qualified, but to master the intersection of their core discipline with AI, develop hybrid skills, and embrace lifelong learning to stay ahead of the curve.

The paradox of layoffs and redundancies amid talent shortages is a symptom of this transition. AI is not causing a net loss of jobs, but rather it is a painful and disruptive recalibration of value.

The technology is creating a world in which the augmented employee is indispensable, and where the battle for their talent is fought in the shadows of the digital footprint, while the public job market becomes an automated, impersonal filter.

Recognising this dual reality is the first step for both companies and individuals, not to survive in the employment marketplace, but to thrive in a new age of human-machine collaboration.

The future of work is not about humans versus machines; it is about humans, empowered by machines, achieving what was once thought impossible.

Ivor Campbell is Chief Executive of Snedden Campbell, a specialist recruitment consultant for the global medical technology industry.

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AppZen Launches AI Agent Studio, Disrupting Outsourcing with Digital Coworkers

CFOs are cutting operating costs by 50%, shifting from BPO to autonomous AI Agents

SAN JOSE, CA – December 15, 2025 – AppZen, the leading agentic AI platform for finance teams, today announced the general availability of AI Agent Studio. First previewed in September, the AI Agent Studio allows finance teams to create and deploy AI Agents that act as digital coworkers, providing a more scalable, cost-effective, and controllable alternative to business process outsourcing (BPO).

AI Agent Studio transforms enterprises’ standard operating procedures (SOPs) into autonomous, production-ready AI Agents, enabling companies to automate high-volume finance work that has historically required outsourced labor. During a soft launch with early adopters, companies identified more than 100 high-impact use cases across travel and expense (T&E) and accounts payable (AP), with some of the Agents forecast to save customers hundreds or even thousands of hours per year. Early users praised the experience as “shockingly intuitive,” “a total game changer,” and noted that they could create an AI Agent in under five minutes.

Enterprises are facing unprecedented pressure to scale operations without increasing headcount. CFOs across industries are now adopting a new operational model in which AI Agents manage complex finance workflows end-to-end, while human teams focus on strategic analysis, oversight, and transformation.

“AppZen’s AI Agent Studio puts the power directly in the hands of finance teams,” said Anant Kale, Co-founder and CEO of AppZen. “We’re witnessing a fundamental shift in how CFOs approach operational efficiency. Instead of adding headcount or outsourcing, they’re deploying AI Agents that deliver immediate results. Our customers are already seeing dramatic transformations, reducing complexity and cutting work by up to 80 percent while improving accuracy and compliance. This is a complete reimagining of finance operations.”

The platform addresses a critical market need as global AI adoption accelerates. According to Fortune Business Insights, the AI market is projected to grow from over $290 billion in 2025 to $1.7 trillion by 2032. In updated guidance, Gartner estimates that 40 percent of enterprise software applications will include embedded agentic AI by 2026, significantly faster than earlier predictions. Finance leaders at the forefront of this transformation are moving from basic process automation to fully autonomous decision-making systems.

Early results from AppZen customers demonstrate the platform’s transformative impact:

• A leading financial institution reduced its expense audit team from 40 to 6 employees and its accounts payable team from 100 to 20
• A global life sciences organization plans to reduce finance operations from 2,000 to 1,000 employees after achieving similar efficiency gains

The AI Agent Studio is built on AppZen’s Mastermind AI Automation Platform, which automates finance specific workflows with reasoning and execution integrated to deliver autonomous processes. The platform enables highly regulated enterprises to eliminate manual review, reduce spend leakage, and ensure compliance at global scale.

“Finance leaders are evolving from operators to AI Agent managers, orchestrating hybrid teams where technology handles execution while people drive strategy,” added Kale. “This shift is so profound that we’re seeing companies reconsider their entire operational footprint. The economics of deploying AI Agents versus traditional staffing models could reverse decades of offshoring business trends.”

AppZen’s AI-native platform, powered by proprietary ZenLM models, streamlines workflows across travel and expense, accounts payable, and corporate card programs. More than 500 global enterprises, including more than 65 Fortune 500 companies, rely on AppZen to automate transaction processing and reduce costs, delivering more than $2 billion in savings and reallocating up to two-thirds of manual work to higher-value activities.

The AI Agent Studio is now available to all new and current AppZen customers seeking to transform enterprise finance operations.

About AppZen
AppZen is the leader in autonomous finance operations, providing enterprise-grade agentic AI for finance teams at Fortune 500 corporations and global companies, including Amazon, Novartis, Salesforce, and Boeing. Customers rely on its finance AI to help transform their travel and expense, corporate card, and accounts payable processing into autonomous finance operations. AppZen processes millions of transactions globally, delivering unprecedented efficiency, accuracy, and compliance for its customers. For more: visit www.appzen.com

Media Contact:

Megan Botta

Pitch Public Relations

megan@pitchpublicrelations.com

References:

Fortune Business Insights

Gartner

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The technology has been validated in 23 pilots across the U.S. Army, Air Force, Navy, Space Force, and Microsoft, achieving <0.5 millisecond latency and up to 2 Gbps throughput, all while consuming less than 8 watts of power.

The urgency: With the White House’s mandate requiring federal agencies to transition to post-quantum cryptography now — December 2025, and 2026 being the year quantum computer makers will deliver working prototypes, Forward Edge-AI has battle-tested, field-ready technology deployed today.

Why this matters:

The patent (U.S. Patent No. 12,452,301 B2) covers a breakthrough in hardware-based cryptographic resilience, achieving cryptographic switching as low as sub-millisecond when under attack. Government specs typically require 30 seconds or less; no competing solution has met that threshold. Forward Edge-AI exceeded it by orders of magnitude.

Traditional one-way data diodes can’t support encryption (encryption requires two-way exchanges), leaving data vulnerable to Harvest Now, Decrypt Later attacks. Isidore Quantum solves this by enabling true one-way data flow WITH post-quantum encryption, a capability that’s unique in the market.

Unlike legacy diode systems, which require expensive fiber optic infrastructure, Isidore works on both fiber and copper, enabling organizations to deploy quantum-safe protection without disrupting existing networks.

Here’s the press release:

Forward Edge-AI Ships First Quantum-Resistant Hardware to National Central University in Taiwan and Secures 5th Patent

Milestone patent allowance and international partnership advance quantum-safe cybersecurity for critical infrastructure and defense research

SAN ANTONIO, TX, December 2, 2025  — Forward Edge-AI, Inc., a leader in trusted autonomy and quantum-resilient cybersecurity, today announced two major milestones in advancing quantum-resistant communications: the United States Patent and Trademark Office (USPTO) has issued a Notice of Allowance for its patent application covering attack-resilient, trust-verified communications, and the company has successfully delivered its Isidore Quantum® One-Way Data Diode to National Central University (NCU) in Taiwan.

Breakthrough Deployment to National Central University

The delivery of Isidore Quantum® to National Central University marks a significant milestone in cross-national research collaboration on next-generation cyber defense technologies. The deployment advances quantum-resistant data security research and demonstrates the operational readiness of Forward Edge-AI’s technology in critical infrastructure environments. Traditional one-way diodes, which rely on fiber optic hardware isolation, cannot support encryption, encryption typically requires two-way exchanges for key negotiation. Isidore Quantum achieves a breakthrough: it enables true one-way data flow while simultaneously supporting NIST-approved post-quantum encryption using AES-256 GCM and ML-KEM.

This capability is unique and addresses a critical vulnerability: traditional one-way diodes prevent unauthorized network access but do not protect data in flight from Harvest Now, Decrypt Later (HNDL) attacks. Without encryption, data flowing through conventional diodes remains vulnerable to interception and future decryption. Isidore Quantum solves this by combining unidirectional enforcement with quantum-resistant encryption, ensuring captured data remains protected even against future quantum computers.

Additionally, unlike traditional diode systems that require expensive fiber optic infrastructure, Isidore Quantum operates seamlessly on both fiber and copper networks. This means organizations can deploy quantum-safe, one-way data protection without costly infrastructure replacement, dramatically reducing deployment time and capital expense. “Delivering Isidore Quantum to National Central University underscores our shared commitment to protecting global critical infrastructure from the coming quantum threat,” said Eric Adolphe, CEO of Forward Edge-AI. “This partnership symbolizes how technology and research collaboration can prepare nations to face the realities of Q-Day.”

The patent, U.S. Patent No. 12,452,301 B2, titled “Methods, Systems, Apparatuses, and Methods for Facilitating Attack-Resilient Communications Between Devices,” secures Forward Edge-AI’s leadership in developing hardware-based cryptographic resilience for critical communications, a foundational advance for post-quantum security. The patented system introduces a trusted network switch architecture that maintains secure communications between devices, even under attack or when exposed to compromised networks. Unlike traditional encryption, which relies solely on software protocols, Forward Edge-AI’s solution embeds cryptographic verification and isolation directly into the network hardware layer. This ensures message integrity, authenticity, and confidentiality, even in environments where adversaries have advanced computational capabilities.

The innovation enables:

Tamper-resistant encryption relays between trusted elements

Dynamic re-encryption and authentication of data packets in transit

Hardware-enforced trust boundaries that isolate compromised components

Cryptographic switching as low as sub-millisecond when under attack—a critical breakthrough for operational continuity

Traditional security requirements mandate cryptographic failover within 30 seconds or less during attack scenarios. Forward Edge-AI’s patented architecture achieves switching as low as sub-millisecond under attack conditions, exceeding government specifications by orders of magnitude. While switching times can vary based on network conditions, ranging from sub-millisecond to as high as six seconds, the system consistently performs well below the 30-second threshold that no competing solution has yet met.

This innovation was made possible through U.S. Government support under Agreement Number FA8075-23-C-0003, awarded by the U.S. Air Force Research Laboratory (AFRL). The government retains certain rights in this invention, underscoring its national security relevance.

Preparing for Q-Day and the HNDL Threat

As global cybersecurity leaders warn of Q-Day, the moment quantum computers can break today’s encryption, Forward Edge-AI’s technology addresses the urgent need to defend against Harvest Now, Decrypt Later (HNDL) attacks. Isidore Quantum encrypts data unidirectionally using AES-256 ML-KEM and ML-DSA post-quantum algorithms, ensuring that data captured today remains protected well into the future of quantum computing, a capability traditional one-way diodes cannot provide. “Q-Day isn’t a distant risk; it’s a certainty,” said Eric Adolphe. “Our patented Switch Isidore architecture provides the trust fabric needed to secure command, control, and communications across defense, finance, and critical infrastructure sectors in the quantum era.”

Isidore Quantum has been tested and validated in 23 pilots across the U.S. Army, Air Force, Navy, Space Force, and Microsoft, achieving <0.5 millisecond latency and up to 2 Gbps throughput. The device consumes less than 8 watts of power, operates silently without fans, and is exportable under license exception ENC (ECCN 5A002). “Every competitor still has something in the lab. We have something in the field,” said Ross Coffman, President of Forward Edge-AI and retired U.S. Army Lieutenant General. “Given the federal mandate to begin the post-quantum transition by December 2025, only proven solutions like ours can meet the deadline.”

The White House’s Executive Order 14144 requires all federal agencies to begin the post-quantum transition by December 2025 and complete it by 2030. Isidore Quantum allows organizations to comply instantly, without disruption, re-certification, or re-architecture.

About Forward Edge-AI

Forward Edge-AI, Inc. is a leader in AI-driven cybersecurity solutions and quantum-resistant technologies for defense, government, and critical infrastructure. The company’s flagship product, Isidore Quantum®, combines post-quantum encryption, AI-enabled resilience, and software-defined network control to deliver future-proof protection against emerging digital threats. Visit www.forward-edge.ai for more information.

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Media Contact:

Julia Wilson-Williams

Julia.wilson@sparkpr.com

The post Taiwan gets first Quantum Resistant Hardware Devices worldwide appeared first on fullSTEAMahead365.

• Summary: Researchers at Columbia Engineering have developed an “electric bandage” that uses a tiny, flexible battery to create an electric field over a wound. In animal tests, the device sped up healing by 30% by promoting new blood vessel formation and reducing inflammation. The low-cost design is simple enough for patients to use at home.
• Source: Breakthroughs & Insights (via Columbia Engineering)
• Link: https://www.engineering.columbia.edu/about/magazine/winter25/news-morningside-heights/breakthroughs-insights

2. (Engineering/Mathematics) AI Framework Solves Century-Old Physics Problem

• Summary: A new AI framework named THOR (Tensors for High-dimensional Object Representation) has successfully solved a complex computational problem in statistical physics that has stumped scientists for decades. The AI can compute “configurational integrals” more than 400 times faster than the best previous simulations, opening the door for faster discoveries in materials science.
• Source: AI Breakthrough Finally Cracks Century-Old Physics Problem (via SciTechDaily)
• Link: https://scitechdaily.com/ai-breakthrough-finally-cracks-century-old-physics-problem/

3. (Science) Scientists Discover a New Kind of Ice: “Ice XXI”

• Summary: By squeezing water between two diamonds and hitting it with ultra-fast X-rays, researchers have discovered a new, temporary phase of ice named “ice XXI.” This metastable form, which existed for only microseconds under immense pressure, reveals that water can freeze and crystallize in more ways than previously thought, impacting our understanding of water on icy planets and moons.
• Source: Scientists just discovered a new kind of ice ‘XXI’ (via Times of India)
• Link: https://timesofindia.indiatimes.com/science/scientists-just-discovered-a-new-kind-of-ice-xxi-and-its-nothing-like-the-one-in-your-freezer/articleshow/125171949.cms

4. (Medicine/Health) New Gel Regrows Tooth Enamel, Could Transform Dentistry

• Summary: Scientists have developed a bio-inspired gel that can successfully regenerate tooth enamel by mimicking the natural growth process. The fluoride-free material forms a new mineral-rich layer that restores the enamel’s original strength and structure, potentially offering a new way to prevent and reverse dental decay.
• Source: Health & Medicine News (via ScienceDaily)
• Link: https://www.sciencedaily.com/news/health_medicine/

5. (Arts/Technology) US Artists Score Victory in Landmark AI Copyright Case

• Summary: In a significant development for the creative industry, a federal judge in California has blocked an attempt by several major AI companies to dismiss large portions of a copyright lawsuit. The case, brought by a group of artists, will now proceed, focusing on the claim that these companies infringed on copyrights by training their AI models on artists’ work without permission.
• Source: Technology (via The Art Newspaper)
• Link: https://www.theartnewspaper.com/art-and-tech

6. (Science) Interstellar Comet “3I/ATLAS” Spotted Passing Through Solar System

• Summary: The third interstellar object ever identified, comet 3I/ATLAS, is currently hurtling through our solar system. China’s Tianwen-1 Mars orbiter captured rare images of the comet, which is following a hyperbolic orbit, meaning it is not bound by the Sun’s gravity and will eventually leave our system. Observations suggest it is composed of volatile materials altered by long-term exposure to interstellar radiation.
• Source: ‘Alien’ 3I/ATLAS hurtling towards solar system (via Indian Express)
• Link: https://indianexpress.com/article/technology/science/alien-3i-atlas-hurtling-towards-solar-system-what-we-know-about-the-interstellar-comet-that-has-piqued-curiosity-10351154/

The post STEAM News Roundup: Electric Bandages, AI Cracks Physics, and a New Form of Ice appeared first on fullSTEAMahead365.

Key takeaways from the analysis:

Warning signs: Escalating time spent on AI apps, irritability when offline, and hiding usage from loved ones.

At-risk groups: Younger users, people struggling with loneliness, trauma, depression, anxiety, or ADHD.

Consequences: Disrupted sleep, impaired focus, strained relationships, and in some cases replacing therapy with AI interactions.

Treatment pathways: Approaches like CBT, DBT, motivational interviewing, and digital detox strategies show promise.

With AI increasingly embedded in our daily lives, the piece raises pressing questions about digital well-being, youth mental health, and whether AI addiction should be formally recognized as a behavioral disorder.

The post Hidden Mental Health Risk of AI Apps appeared first on fullSTEAMahead365.

Here’s the full press release:

Dynabook Unveils Premium AI-Infused 14-inch Portégé X40-M Laptops with Intel® Core Ultra Processors and Copilot AI

Equipped With a New Mil-Spec Aluminum Alloy Chassis and Premium Features Like Copilot AI, Intel® Arc Graphics, 16:10 WUXGA Displays, Full-Size Keyboards, Wi-Fi 6E and Tons of Ports

IRVINE, Calif., July 30, 2024 – Dynabook Americas, Inc., the gold standard for long-lasting, professional- grade laptops, today unveiled today unveiled its latest addition to the premium Portégé family – the all- new 14-inch Portégé® X40-M. Engineered with Intel® Core Ultra processors (Series 1) and advanced AI capabilities, this new Windows 11 Pro laptop impeccably blends the most powerful modern hardware with sophisticated AI to maximize workplace productivity.

“The Portégé X40 has been one of Dynabook’s best-selling laptops for years, and I believe that this latest iteration of an already-winning formula will further solidify the Portégé line as an indispensable booster of business efficiency and productivity,” said James Robbins, General Manager, Dynabook Americas Inc. “With the integration of Intel’s latest Core Ultra processors and Copilot AI enhancements, this laptop continues our tradition of delivering premium, cutting-edge capabilities that empower professionals.”

Premium Design and Unrivaled Durability

The all-new 14-inch Portégé® X40-M is designed for professionals who demand the best. Standing out from the competition, the Portégé X40-M features a sleek, lightweight aluminum alloy chassis that is both stylish and durable, following MIL-STD-810H standards. It is finished in a premium metallic dark blue. The new model is also equipped with a 16:10 WUXGA display with an available touch option, a full- size premium backlit keyboard with dedicated conferencing hotkeys preset for Microsoft Teams and Zoom, and a large ClickPad, ensuring unparalleled productivity in any environment.

AI-Powered Productivity

Featuring Copilot AI and equipped with a dedicated Copilot key for quick AI assistance on workflows and tasks, the Portégé X40-M allows users to streamline operations, automate repetitive tasks, and enhance overall productivity with intelligent suggestions and seamless communication facilitated by AI. Additional AI enhancements include AI noise reduction for clear communication by removing background noise at both the near and far ends of conference calls, a new 5MP webcam with AI

enhancements like background blur, eye contact, and face framing, and AI-enhanced battery management for optimized performance and extended usage.

Robust Security Features

The Portégé X40-M ensures robust protection against security and privacy threats with its advanced security features. It includes Trusted Platform Module (dTPM) 2.0, advanced encryption, and optional face and fingerprint biometric scanners and smart card readers. These measures ensure that both personal and corporate data remain secure, providing peace of mind for users handling sensitive information.

Exceptional Connectivity

The Portégé X40-M offers exceptional connectivity options with Wi-Fi 6E and a LAN port, ensuring fast and reliable internet access. It also features a comprehensive selection of ports, including HDMI, Thunderbolt 4, USB Type-A, and a microSD card slot, allowing for easy connection to various devices and peripherals. The enhanced high-resolution display, combined with superior audio and video capabilities, makes this laptop perfect for both team collaborations and individual tasks.

Premium Service and Support

Known for its high-quality laptops with low failure rates, Dynabook provides one of the industry’s best standard warranties. To enhance customer peace of mind, the Portégé X40-M can be equipped with Dynabook’s optional +Care Service® Warranty with On-site support, offering up to four years of comprehensive coverage. This premium service ensures reduced downtime, lower IT costs, and sustained productivity through access to Dynabook’s extensive support network.

Pricing and Availability

The Portégé X40-M can be custom ordered today from authorized Dynabook partners, with pricing starting under $1,499. For more information, visit us.dynabook.com.

# # #

About Dynabook Americas, Inc.

Empowering a Dynamic World, Dynabook Americas, Inc. is a trusted technology partner committed to delivering innovative laptops that redefine the standards of performance, reliability, security, and value. With a history dating back to the release of the first modern laptop PC in 1985, Dynabook stands for unmatched quality, peace of mind, and a legacy of excellence. Our sleek and lightweight designs, military-spec durability, TAA compliance, range of customizable options and industry-leading warranty ensure our diverse portfolio of laptops meet and exceed the unique needs of every customer.

Dynabook Americas is an independent operating company wholly owned by Dynabook, Inc., of Japan, a wholly owned company of Sharp Corporation. For more information on Dynabook Americas, visit https://us.dynabook.com/.

© 2024 Dynabook Americas, Inc. Dynabook is a trademark of Dynabook Inc. All other product, service and company names are trademarks, registered trademarks, or service marks of their respective owners. Information including without limitation product prices, specifications, availability, content of services, and contact information is subject to change without notice. All rights reserved.

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Abstract

Convolutional neural networks show promise as models of biological vision. However, their decision behaviour, including the facts that they are deterministic and use equal numbers of computations for easy and difficult stimuli, differs markedly from human decision-making, thus limiting their applicability as models of human perceptual behaviour. Here we develop a new neural network, RTNet, that generates stochastic decisions and human-like response time (RT) distributions. We further performed comprehensive tests that showed RTNet reproduces all foundational features of human accuracy, RT and confidence and does so better than all current alternatives. To test RTNet’s ability to predict human behaviour on novel images, we collected accuracy, RT and confidence data from 60 human participants performing a digit discrimination task. We found that the accuracy, RT and confidence produced by RTNet for individual novel images correlated with the same quantities produced by human participants. Critically, human participants who were more similar to the average human performance were also found to be closer to RTNet’s predictions, suggesting that RTNet successfully captured average human behaviour. Overall, RTNet is a promising model of human RTs that exhibits the critical signatures of perceptual decision-making.

The post Neural Network Can Weigh Options Like a Human – New Paper appeared first on fullSTEAMahead365.

To optimize AI’s cyber security impact, the report recommends organizations:

• Start with increased human communication and collaboration.
• Emphasize a culture of continuous learning.
• Evaluate AI use cases by tech maturity, mission value, and risk.
• Build in AI security from inception.
• Be realistic about expectations.
• Focus on thorough testing and evaluations.
• Embrace change.

While AI gets a lot of flack for obvious reasons, it’s important to also consider the potential benefits, as its continued evolution and use is an inevitability. Of course, what’s also potentially inevitable is the idea that AI’s, both good and bad, white hat and black hat, will battle each other in a dangerous game of one-upmanship. As always, we need to keep a rigorous eye on all of the nuances, particularly as it relates to our critical IT security and related infrastructure.

The post In a potential win for AI, study shows it’s critical for battling evolving cyber threats appeared first on fullSTEAMahead365.

This bundle is back for another round. Learn about machine learning, Python, data science, Copilot, and Excel. There are 7 new exclusive launch courses in this encore bundle. This bundle of online courses from Mammoth Interactive covers topics like machine learning, sales analytics, data visualization, and more. It will get you up to speed on the cutting-edge technologies that are driving the future of these disciplines. Included in the bundle are several first-time Humble Bundle exclusive courses diving deep into machine learning and Copilot in Excel, plus a whole lot more. Get invaluable bleeding-edge instruction and help support Children’s Miracle Network Hospitals with your purchase!

You can always check out the most recent Humble Bundle offers here and here.

The post Courses on machine learning, neural networks, data visualization, and more! appeared first on fullSTEAMahead365.

It’s a compelling effect and an impressive first step. Of course, as technology like this evolves, there are some dark implications, but, as always, we need to have frank discussions about potential uses, and abuses, of the inevitable.

Here are just two examples:

Again, quite impressive considering the starting point was a single AI-generated photo. You can see the rest of the videos on the research page. There’s also an arXiv and PDF of the paper.

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