Every company, large or small, needs to choose software, and the bigger the company, the more complex the exercise.
Some have internal tools and processes to help narrow down the list of possible vendors and eventually make a selection.
“Taloflow replaces homegrown technology and software selection processes that can last weeks or months,” the startup’s CEO and co-founder, Louis-Victor Jadavji, told TechCrunch.
“Unlike Gartner or G2, which offer mostly generic insights, Taloflow creates tailored reports for specific use cases,” he said.
Taloflow has built large language models that sift through publicly available information and speed up the time and cost of generating the base reports.
The company on Wednesday introduced a beta of what it’s calling ‘AI teammates,’ in a bid to help move work inside an organization.
“We believe that the future of work is humans not just working with humans, but humans also working with AI,” Costello told TechCrunch.
“The work graph enables us to tell AI not just how work happens, but how work happens in this specific instance.
So when we embed AI teammates into a particular workflow, they’re given a specific job to do.
“We have found that we’re able to embed AI teammates to remove a lot of administrative work and tracking work within these systems very quickly, with high degrees of success.
Allison Cohen is the senior applied AI projects manager at Mila, a Quebec-based community of more than 1,200 researchers specializing in AI and machine learning.
One of the projects I managed involved building a dataset containing instances of subtle and overt expressions of bias against women.
I learned firsthand why this process is fundamental to building responsible applications, and also why it’s not done enough — it’s hard work!
What advice would you give to women seeking to enter the AI field?
How can investors better push for responsible AI?
New AI models from Meta are making waves in technology circles.
Meta’s new Llama models have differently sized underlying datasets, with the Llama 3 8B model featuring eight billion parameters, and the Llama 3 70B model some seventy billion parameters.
The company’s new models, which were trained on 24,000 GPU clusters, perform well across benchmarks that Meta put them up against, besting some rivals’ models that were already in the market.
What matters for those of us not competing to build and release the most capable, or largest AI models, what we care about is that they are still getting better with time.
While Meta takes an open-source approach to AI work, its competitors are often prefer more closed-source work.
In the short term, many employers have complained of an inability to fill roles and retain workers, further accelerating robotic adoption.
One aspect of the conversation that is oft neglected, however, is how human workers feel about their robotic colleagues.
But could the technology also have a negative impact on worker morale?
The institute reports a negative impact to worker-perceived meaningfulness and autonomy levels.
As long as robots have a positive impact on a corporation’s bottom line, adoption will continue at a rapidly increasing clip.
NASA’s decision to scrap its $11 billion, 15-year mission to Mars to bring back samples could create a startup feeding frenzy, TechCrunch reports.
Describing its plans as too slow, and too expensive, NASA is going back to the drawing board, with an eye on getting the space industry to help.
But space startups are not worried about it.
So, the NASA money might have a bunch of startup-sized buckets to drip into, and I am here for it.
To that end, if any startup that works with NASA on the Mars rock mission needs a human to send up there to check on the dials and such, I’m your guy.
This week Boston Dynamics retired its well-known Atlas robot that was powered by hydraulics.
Then today it unveiled its new Atlas robot, which is powered by electricity.
Its new Atlas robot is leaner, and appears to have improved range-of-motion.
Size and ability to contort and maneuver are not cosmetic elements to a humanoid robot — they can unlock new use cases and possible work environments.
Happily for those of us who want a domestic robot to handle household chores and hold our hands whilst we cry, there are other startups working on the humanoid robot project.
NeuBird founders Goutham Rao and Vinod Jayaraman came from PortWorx, a cloud native storage solution they eventually sold to PureStorage in 2019 for $370 million.
When they went looking for their next startup challenge last year, they saw an opportunity to combine their cloud native knowledge, especially around IT operations, with the burgeoning area of generative AI.
Rao, the CEO, says that while the cloud native community has done a good job at solving a lot of difficult problems, it has created increasing levels of complexity along the way.
“We’ve done an incredible job as a community over the past 10 plus years building cloud native architectures with service oriented designs.
At the same time, large language models were beginning to mature, so the founders decided to put them to work on the problem.
It was while sourcing manufacturing equipment for Tesla factories that Will Drewery drew inspiration for Diagon, a startup that helps manufacturers procure equipment.
Companies in fields like automotive and aerospace can identify qualified suppliers from Diagon’s network of equipment suppliers, system integrators and service providers.
East Coast originsThe journey to Diagon for Drewery, who spent most of his career as an equipment buyer, started in Pittsburgh.
“This is why I felt the market needs a Diagon,” Drewery said.
“Now we are developing tools that help customers find suppliers better or help them interpret and summarize quotes better,” Drewery said.
The lack of charging infrastructure is a major barrier to entry for those looking to convert gas-powered vehicles to electric.
Founded by Louis Tremblay, FLO is looking to build robust EV charging infrastructure that will create a reliable web for drivers to get to where they need to go.
Since then, however, the company has raised more than $334.4 million and become Canada’s largest EV charging provider.
“Hardware is important because it’s the infrastructure that lasts [and] software is to make a great experience,” said Tremblay.
It seeks to keep chargers up-to-date and has a suite of charging software that provides valuable data to — and about — drivers.
