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Scientists in Israel have created a model of a human embryo from stem cells in the laboratory, without using sperm, eggs or a womb, offering a unique glimpse into the early stages of embryonic development.

The model resembles an embryo at day 14, when it acquires internal structures but before it lays down the foundations for body organs, according to the team at Israel’s Weizmann Institute of Science.

The Israeli team emphasised that they were a long way from being able to create an embryo from scratch.

“The question is, when does an embryo model become considered an embryo? When that happens, we know the regulations. At the moment we are really, really far off from that point,” said team leader Jacob Hanna.

The bipartisan CREATE AI Act aims to overcome the access divide and see the benefits and risks of artificial intelligence properly weighed for all Americans.

In July 2023, US Senators Martin Heinrich (D-N.M.), Todd Young (R-Ind.), Cory Booker (D-N.J.), and Mike Rounds (R-S.D.) introduced the CREATE AI Act (the Creating Resources for Every American To Experiment with Artificial Intelligence Act). U.S. Representatives Anna Eshoo (D-Calif.), Michael McCaul (R-Texas), Don Beyer (D-Va.), and Jay Obernolte (R-Calif.) introduced a companion bill in the House of Representatives.

Frontiers welcomes the move. It shows foresight, creativity, and the chance to properly weigh the risks and benefits of AI for all.

Please attend our Virtual Realilty Ending Aging Forum!

This event will showcase the newest breakthroughs in rejuvenation biotechnologies happening at the SENS Research Foundation’s Research Center in Mountain View, CA, as well as the research funded at extramural labs.

The Forum will be hosted virtually through Meetaverse, a state-of-the-art Virtual Reality platform.


This virtual event is your opportunity to hear first-hand about the latest advances that our in-house researchers are making toward new rejuvenation biotechnologies, along with some of our young scientists-in-training and outside researchers whose research we fund.

Whether you like it or not, people are increasingly seeing art that was generated by computers. Everyone has an opinion about it, but researchers at the University of Vienna recently ran a small study to find out how people actually perceive computer-generated art.

In the study, led by Theresa Demmer, people were shown abstract art of black and white blocks in a grid. The art was either generated by a human artist or by a random number generator.

“For the computer-generated images, we avoided using AI or a self-learning algorithm trained on human-generated images but chose to use a very simple algorithm instead,” Demmer told the University of Vienna. “The goal of this approach was to produce… More.


Researchers at the University of Vienna recently ran a small study to find out how people perceive computer-generated art.

Adobe, once wary of how generative AI could disrupt its professional creative base, is now fully embracing the technology as a new frontier for augmented creativity. On Wednesday, the company announced it was taking its Firefly AI out of beta and rolling it out commercially across its Creative Cloud, Adobe Express, and Experience Cloud platforms.

As part of the rollout, Adobe launched a new Firefly web portal for AI experimentation, integrated Firefly capabilities directly into Photoshop and Illustrator, and added AI features to Express.


On Wednesday, Adobe announced it was taking its Firefly AI out of beta and rolling it out commercially across its Creative Cloud, Adobe Express, and Experience Cloud platforms.

Traditional semiconductor chip design typically begins with a lengthy and often arduous process of specification definition, RTL model creation and documentation, before engineering teams can set out on designing actual circuits. However, what if this IP creation and team-based design review phase could be cut down to a few weeks, rather than months, with literally hundreds of hours of design team meetings saved in the process?

This is the goal of a new “ChipGPT” type tool, that Cadence Design Systems is bringing to market, which employs Large Language Models and generative AI to do much of the heavy lifting in this early semiconductor definition and design verification phase.

As a new… More.


Generative AI has once again proven itself capable of alleviating semiconductor design teams from large portions of iterative optimization and verification work.

Sometimes when you dig into the technology underneath your favorite devices and applications, you almost wish you hadn’t.

Still, it’s good to get an idea of what hackers are doing, how teams are responding, and what’s going on with the mobile devices that we all rely on more and more with each new year. Some of that has an intersection with AI/ML, in ways that might surprise you.

Check out Adam Chlipala’s talk on modern methods: applying this sort of data science to the practice of computer programming is going to be pretty heavy for anyone who isn’t a coder.

Morgan Stanley released a report Monday, predicting a semiconductor-driven hopeful outlook for Musk’s company.

Tesla’s shares were up 9.5 percent yesterday. But what drove them up?

The investment banking firm issued a research note that upgraded the Elon Musk-owned automotive company’s rating from ‘equalweight’ to ‘overweight’ with a price target of $400 from a prior price target of $250. An ‘overweight’ rating means that the analysts, in this case Morgan Stanley (MS), expects Tesla’s stock to outperform its industry in the market.


Wikimedia Commons.

Musk, Zuckerberg, Altman, Gates, and Huang were in attendance.

US lawmakers met with the who’s who of the tech industry on Wednesday to discuss regulations for artificial intelligence and potentially work towards a law that protects US citizens from the dangers of the technology.

In attendance were Tesla CEO Elon Musk, Meta CEO Mark Zuckerberg, Alphabet CEO Sundar Pichai, NVIDIA CEO Jensen Huang, Microsoft CEO Satya Nadella, IBM CEO Arvind Krishna, former Microsoft CEO Bill Gates, and AFL-CIO labor federation President Liz Shuler, reported Reuters.

Summary: Researchers have unearthed how human brains inherently perform calculations akin to high-powered computers through Bayesian inference, enabling precise, swift environmental interpretation. This statistical method melds prior knowledge and new evidence, permitting us to quickly and accurately discern our surroundings.

This study showcases how our brain’s visual system structure is innately designed to execute Bayesian inference on the sensory data it gathers. Such revelations promise breakthroughs in areas spanning from AI’s machine learning to novel therapeutic strategies in clinical neurology.