Conversations around birth control usually focus on women, but Kevin Eisenfrats, one of the MIT Technology Review 2025 Innovators Under 35, is working to change that. His company, Contraline, is working toward testing new birth control options for men . Exclusive: A record-breaking baby has been born from an embryo that's over 30 years old Jessica Hamzelou Therapists are secretly using ChatGPT. Exclusive: A record-breaking baby has been born from an embryo that's over 30 years old The embryos were created in 1994, while the expectant father was still a toddler, and donated via a Christian "embryo adoption" agency. Therapists are secretly using ChatGPT. Some therapists are using AI during therapy sessions.

In the past two years the French capital has been in the throes of AI fever and has launched some of Europe's most talked-about startups, including Mistral, which is currently valued at 6.2 billion ( 4.7 billion). That's partly down to the support the industry has received. President Emmanuel Macron has given French AI startups some emphatic political backing, while telecoms billionaire Xavier Niel has provided much investment and will to finance national ambition. In September 2023, Niel invested 200 million ( 212 million), splitting that money between funding for startups such as Mistral, an AI research lab called Kyutai and a cloud supercomputer powered by Nvidia. "I'm the old guy who likes entrepreneurs and the idea was always the same: how we can help this talent to stay here, creating companies," says Niel. Niel, a prolific French businessman who owns telecommunications company Iliad, believes European AI companies now have a unique opportunity to act. "If you want to create a search engine now from scratch, you cannot win because you weren't there 25 years ago.

Artificial intelligence technology can now single out the most promising embryo during IVF and boost the chance of pregnancy. The AI tech is already in use across Europe, Asia, and South America, and could be in the US'very soon', according to the Tel Aviv-based firm that pioneered the tech in Israel. The software detects the most viable embryos by scoring them based on features that correlate to different outcomes, such as genetic abnormalities or implantation, that can't be seen with the human eye. Clinics using the algorithm have reported a 30 percent increase in IVF success rates. IVF, or in vitro fertilization, entails removing an egg from a woman's ovaries and fertilizing it with male sperm in a laboratory.

Laguna Hills, Calif. – March 6, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world's first commercial producer of ultra-low power, fully digital, neuromorphic AI IP, today announced the second generation of its Akida platform that drives extremely efficient and intelligent edge devices for the Artificial Intelligence of Things (AIoT) solutions and services market that is expected to be $1T by 2030. This hyper-efficient yet powerful neural processing system, architected for embedded Edge AI applications, now adds efficient 8-bit processing to go with advanced capabilities such as time domain convolutions and vision transformer acceleration, for an unprecedented level of performance in sub-watt devices, taking them from perception towards cognition. The second-generation of Akida now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions that supercharge the processing of raw time-continuous streaming data, such as video analytics, target tracking, audio classification, analysis of MRI and CT scans for vital signs prediction, and time series analytics used in forecasting, and predictive maintenance. These capabilities are critically needed in industrial, automotive, digital health, smart home and smart city applications. The TENNs allow for radically simpler implementations by consuming raw data directly from sensors – drastically reduces model size and operations performed, while maintaining very high accuracy.

Josh Tobin, the co-founder and CEO of machine learning tool provider Gantry, didn't want to believe it at first. But Tobin, who previously worked as a research scientist at OpenAI, eventually came to the conclusion that it was true: The end of traditional ML modeling is upon us. The idea that you didn't need to train a machine learning model anymore and can get better results by just using off-the-shelf models without any tuning on your own custom data seemed wrong to Tobin, who spent years learning how to build these systems. When he first heard of the idea after starting his ML tool business Gantry, which he co-founded in 2021 with fellow OpenAI alum Vicky Cheung, he didn't want to believe it. "The first four or five times I heard that, my thinking was like, okay, these companies just don't know what they're doing," Tobin said.

The pharmaceutical industry is expected to spend more than $3 billion on artificial intelligence by 2025 – up from $463 million in 2019. AI clearly adds value, but advocates say it is not yet living up to its potential. There are many reasons the reality hasn't yet matched the hype, but limited datasets are a big one. Given the enormity of available data collected every day – from steps walked to electronic medical records – scarcity of data is one of the last barriers one might expect. The traditional big data/AI approach uses hundreds or even thousands of data points to characterize something like a human face.

In 2020 I joined the private beta test of Open AI's Generative Pre-trained Transformer 3 (GPT-3), which is an earlier version of ChatGPT. When ChatGPT was released in November 2022, I started experimenting with it. Large language models like ChatGPT are expected to enable a new wave of research, creativity and productivity, because they can help generate solutions for complex problems. For over two years I've been exploring the strengths and limits of this technology and assessing how this tool could be useful to me. I'm also interested how this new technology is being utilized by scientists to make meaningful contributions to academic work.

You want success over the coming months and years? The number-one way to get there is through people -- building businesses through their creativity, passion, and full participation in decision-making. But right behind empowered people is the number-two vital ingredient for success: data. Data that can reveal to you what your customers want, how your business is running, and what's around the corner. Now, we have the key that unlocks the patterns that have long been hidden away in databases and applications.

Hive, the productivity platform provider, today announced the public release of HiveMind that uses Artificial Intelligence (AI) to automatically create a project plan in a matter of seconds. As Artificial Intelligence models are increasingly being integrated into content and note-taking platforms, Hive is pioneering the usage of the models' capacity for continuous learning and logical decision-making based on in-depth data. Modeled on six years of successful customer projects, HiveMind automatically sets out the steps to accomplish any goal, expediting project planning and execution. It has the ability to create project tasks based on simple suggestions, set next steps from received emails and reply based on the inbound email's content. "Today, superior performance in the marketplace comes from the depth of data you possess, and the ability to apply it quickly," said John Furneaux, Hive co-founder and CEO.

Hive, the productivity platform provider, announced the public release of HiveMind that uses Artificial Intelligence (AI) to automatically create a project plan in a matter of seconds. As Artificial Intelligence models are increasingly being integrated into content and note-taking platforms, Hive is pioneering the usage of the models' capacity for continuous learning and logical decision-making based on in-depth data. Modeled on six years of successful customer projects, HiveMind automatically sets out the steps to accomplish any goal, expediting project planning and execution. It has the ability to create project tasks based on simple suggestions, set next steps from received emails and reply based on the inbound email's content. "Today, superior performance in the marketplace comes from the depth of data you possess, and the ability to apply it quickly," said John Furneaux, Hive co-founder and CEO.