Technology development has come a long way in recent years, with new and innovative products and services being released at a rapid pace. The advances in technology have had a significant impact on society, transforming the way we communicate, work, and live our lives. One of the most significant areas of technology development is in the field of artificial intelligence (AI). AI has the potential to revolutionize many industries, from healthcare to transportation, by automating tasks and making them more efficient. There have been significant advances in natural language processing, machine learning, and robotics, which have led to the development of AI systems that can perform a wide range of tasks, from diagnosing diseases to driving cars.

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have successfully demonstrated that autonomous methods can discover new materials. The artificial intelligence (AI)-driven technique led to the discovery of three new nanostructures, including a first-of-its-kind nanoscale "ladder." The research was published today in Science Advances.. The newly discovered structures were formed by a process called self-assembly, in which a material's molecules organize themselves into unique patterns. Scientists at Brookhaven's Center for Functional Nanomaterials (CFN) are experts at directing the self-assembly process, creating templates for materials to form desirable arrangements for applications in microelectronics, catalysis, and more.

Behavioral scientists have classically documented aversion to algorithmic decision aids, from simple linear models to AI. Sentiment, however, is changing and possibly accelerating AI helper usage. AI assistance is, arguably, most valuable when humans must make complex choices. We argue that classic experimental methods used to study heuristics and biases are insufficient for studying complex choices made with AI helpers. We adapted an experimental paradigm designed for studying complex choices in such contexts. We show that framing and anchoring effects impact how people work with an AI helper and are predictive of choice outcomes. The evidence suggests that some participants, particularly those in a loss frame, put too much faith in the AI helper and experienced worse choice outcomes by doing so. The paradigm also generates computational modeling-friendly data allowing future studies of human-AI decision making.

Human long duration exploration missions (LDEMs) raise a number of technological challenges. This paper addresses the question of the crew autonomy: as the distances increase, the communication delays and constraints tend to prevent the astronauts from being monitored and supported by a real time ground control. Eventually, future planetary missions will necessarily require a form of astronaut self-scheduling. We study the usage of a computer decision-support tool by a crew of analog astronauts, during a Mars simulation mission conducted at the Mars Desert Research Station (MDRS, Mars Society) in Utah. The proposed tool, called Romie, belongs to the new category of Robust Advanced Modelling and Scheduling (RAMS) systems. It allows the crew members (i) to visually model their scientific objectives and constraints, (ii) to compute near-optimal operational schedules while taking uncertainty into account, (iii) to monitor the execution of past and current activities, and (iv) to modify scientific objectives/constraints w.r.t. unforeseen events and opportunistic science. In this study, we empirically measure how the astronauts, who are novice planners, perform at using such a tool when self-scheduling under the realistic assumptions of a simulated Martian planetary habitat.

EXPRESSING A DISEASE: Want to know whether you have Covid-19 or even Alzheimer's? Artificial intelligence might soon have an answer just by listening to your voice. Leading researchers are developing technology that sorts through evidence of so-called vocal biomarkers to hone in on medical conditions that might not be detectable during routine office visits or exams. "This line might seem to have been lifted from a Star Trek script," said Bertalan Meskó, director of the Medical Futurist Institute. "But we are close to having such conversations with our computers."

Lockheed Martin wrangles and exploits that data to revolutionize aircraft maintenance and performance using SAS advanced analytics and artificial intelligence (AI) solutions. The company can predict when parts will fail, keeping fleets airborne for vital missions worldwide. Countries around the world rely on the C-130 for search and rescue missions, peacekeeping, medical evacuations, scientific research, military operations, aerial refueling, special operations and humanitarian relief. "The relief efforts are what I'm most proud of," said Mike Isbill, a Lockheed Martin Fellow specializing in data analytics. "After tornadoes, hurricanes or earthquakes, C-130s quickly bring emergency supplies and aid. They can operate in the most austere conditions, landing in fields or on damaged runways."

Apollo (left, his head shining), god of light, prophesy, music, and the arts of civilization, talks to god Hephaistos (closer to Apollo) and the 4 Cyclopes who made the thunderbolt for Zeus. In fact, machines and products of craftsmanship were part of the fabric of Greek culture, both political and religious. Even gods (Prometheus, Metis, Athena, and Hephaistos) protected the technological civilization of the Greeks. Indeed, the gods created models of craftsmanship that triggered the Greek imagination for a scientific and technological understanding of the Cosmos. The Cyclopes were the earliest engineering geniuses in Greek culture. They manufactured the almighty thunderbolt for Zeus to bring the war among the gods to an end. But the thunderbolt made Zeus supreme. That mythology, which the Greeks considered early history, provided the metaphysics of zeal and success in technical work.

Artificial intelligence and machine learning (AI/ML) models have already shown some promise in increasing the sophistication of phishing lures, creating synthetic profiles, and creating rudimentary malware, but even more innovative applications of cyberattacks will likely come in the near future. Malware developers have already started toying with code generation using AI, with security researchers demonstrating that a full attack chain could be created. The Check Point Research team, for example, used current AI tools to create a complete attack campaign, starting with a phishing email generated by OpenAI's ChatGPT that urges a victim to open an Excel document. The researchers then used the Codex AI programming assistant to create an Excel macro that executes code downloaded from a URL and a Python script to infect the targeted system. Each step required multiple iterations to produce acceptable code, but the eventual attack chain worked, says Sergey Shykevich, threat intelligence group manager at Check Point Research.

A'Quantum Apocalypse' could tear open everything from internet banking to government secrets -- and experts warn it's just years away. This fear was thrown into focus earlier this year when an academic paper by Chinese researchers suggested that a quantum computer (a new technology under development by Google and IBM, among others) could break the encryption which keeps us safe online. Tim Callan, a chief experience officer at cybersecurity company Sectigo, warned DailyMail.com The warning comes soon after researchers at the University of Chicago revealed they were working on an unhackable quantum internet. Currently, computers use a system called public key encryption to protect information -- such as someone sending you a digital message. In this your device -- such as a mobile phone -- has two keys, a public key and a private key.

BE PART OF BUILDING THE FUTURE. What do NASA and emerging space companies have in common with COVID vaccine R&D teams or with Roblox and the Metaverse? The answer is data, -- all fast moving, fast growing industries rely on data for a competitive edge in their industries. And the most advanced companies are realizing the full data advantage by partnering with Pure Storage. Pure's vision is to redefine the storage experience and empower innovators by simplifying how people consume and interact with data.